Collection of publications of independent research studies and mentions about Enobio

Enobio has been used or mentioned in the following publications (non-exahustive list):

• Rocha, P., Dagnino, P. C., O’Sullivan, R., Soria-Frisch, A., & Paúl, C. (2022). BRAINCODE for Cognitive Impairment Diagnosis in Older Adults: Designing a Case–Control Pilot Study. International Journal of Environmental Research and Public Health, 19(9), 5768.
• Teixeira, A., Rodrigues, I., Gomes, A., & Rodríguez, G. (2022). P100 ERP as a Tool to Identifying Problem Solving. In World Conference on Information Systems and Technologies (pp. 590-599). Springer, Cham.
• Ghodousi, M., Pousson, J. E., Voicikas, A., Bernhofs, V., Pipinis, E., Tarailis, P., ... & Griškova-Bulanova, I. (2022). EEG Connectivity during Active Emotional Musical Performance. Sensors, 22(11), 4064.
• Magnuson, J. R., Kang, H. J., Dalton, B. H., & McNeil, C. J. (2022). Neural effects of sleep deprivation on inhibitory control and emotion processing. Behavioural Brain Research, 426, 113845.
• Rita Teixeira, A., Santos, M., Santos, Á., & Gomes, A. (2022). AGELESS-Applications for Geriatric Exercises: Learning of the Elderly by Sensors and Software. In World Conference on Information Systems and Technologies (pp. 581-589). Springer, Cham.
• Márquez-García, A. V., Vakorin, V. A., Kozhemiako, N., Magnuson, J. R., Iarocci, G., Ribary, U., ... & Doesburg, S. M. (2022). Children with autism spectrum disorder show atypical electroencephalographic response to processing contextual incongruencies. Scientific Reports, 12(1), 1-14.
• van Bueren, N. E., van der Ven, S. H., Sella, F., & Kadosh, R. C. (2022). Explaining and Predicting the Effects of Neurostimulation via Neuronal Excitation/Inhibition. bioRxiv.
• Izhar, L. I., Babiker, A., Rizki, E. E., Lu, C. K., & Abdul Rahman, M. (2022). Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data. Sensors, 22(7), 2703.
• Nielsen, J. M., Zibrandtsen, I. C., Masulli, P., Sørensen, T. L., Andersen, T. S., & Kjær, T. W. (2022). Towards a wearable multi-modal seizure detection system in epilepsy: a pilot study. Clinical Neurophysiology.
• Armengol-Urpi, A., Salazar-Gómez, A. F., & Sarma, S. E. (2022, March). Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy. In 27th International Conference on Intelligent User Interfaces (pp. 258-276).
• Lockwood Estrin, G., Bhavnani, S., Goodwin, A., Arora, R., Divan, G., Haartsen, R., ... & Jones, E. J. (2022). From the lab to the field: acceptability of using electroencephalography with Indian preschool children. Wellcome Open Research, 7, 99.
• Caglar‐Ozhan, S., Altun, A., & Ekmekcioglu, E. (2022). Emotional patterns in a simulated virtual classroom supported with an affective recommendation system. British Journal of Educational Technology.
• Georgiadis, K., Kalaganis, F. P., Oikonomou, V. P., Nikolopoulos, S., Laskaris, N. A., & Kompatsiaris, I. (2022). RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing.
• Gomez-Alvaro, M. C., Villafaina, S., Leon-Llamas, J. L., Murillo-Garcia, A., Melo-Alonso, M., Sánchez-Gómez, J., ... & Gusi, N. (2022). Effects of Transcranial Direct Current Stimulation on Brain Electrical Activity, Heart Rate Variability, and Dual-Task Performance in Healthy and Fibromyalgia Women: A Study Protocol. Behavioral Sciences, 12(2), 37.
• Peiqing, H. (2022). Multidimensional State Data Reduction and Evaluation of College Students’ Mental Health Based on SVM. Journal of Mathematics, 2022.
• Lin, Y., Xiao, Y., Wang, L., Guo, Y., Zhu, W., Dalip, B., ... & Urman, R. D. (2022). Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals. Frontiers in Neuroscience, 16.
• Vecchiato, G., Del Vecchio, M., Ambeck-Madsen, J., Ascari, L., & Avanzini, P. (2022). EEG–EMG coupling as a hybrid method for steering detection in car driving settings. Cognitive Neurodynamics, 1-16.
• Janić, M., Ćirović, M., Dimitriadis, N., Jovanović Dimitriadis, N., & Alevizou, P. (2022). Neuroscience and CSR: Using EEG for Assessing the Effectiveness of Branded Videos Related to Environmental Issues. Sustainability, 14(3), 1347.
• Kulkarni, V., Joshi, Y., Manthalkar, R., & Elamvazuthi, I. (2022). Band decomposition of asynchronous electroencephalogram signal for upper limb movement classification. Physical and Engineering Sciences in Medicine, 1-14.
• Hekmatmanesh, A., Wu, H., Li, M., & Handroos, H. (2022). A Combined Projection for Remote Control of a Vehicle Based on Movement Imagination: A Single Trial Brain Computer Interface Study. IEEE Access.
• Troller-Renfree, S. V., Costanzo, M. A., Duncan, G. J., Magnuson, K., Gennetian, L. A., Yoshikawa, H., ... & Noble, K. G. (2022). The impact of a poverty reduction intervention on infant brain activity. Proceedings of the National Academy of Sciences, 119(5).

• Aloui, N., Planat-Chrétien, A., & Bonnet, S. (2021). Artefact subspace reconstruction for both EEG and fNIRS co-registred signals. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 208-211). IEEE.]
• Zortea, M., Beltran, G., Alves, R. L., Vicuña, P., Torres, I. L., Fregni, F., & Caumo, W. (2021). Spectral Power Density analysis of the resting-state as a marker of the central effects of opioid use in fibromyalgia. Scientific reports, 11(1), 1-13.
• Pousson, J. E., Voicikas, A., Bernhofs, V., Pipinis, E., Burmistrova, L., Lin, Y. P., & Griškova-Bulanova, I. (2021). Spectral Characteristics of EEG during Active Emotional Musical Performance. Sensors, 21(22), 7466.
• Ahonen, V., Leino, M., & Lipping, T. (2021). Electroencephalography in Evaluating Mental Workload of Gaming. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 845-848). IEEE
• Yang, Y., Feng, Y., Easa, S. M., & Zheng, X. (2021). Evaluation of mental load of drivers in long highway tunnel based on electroencephalograph. Frontiers in psychology, 12.
• Somon, B., Giebeler, Y., Darmet, L., & Dehais, F. (2021). Benchmarking cEEGrid and solid gel-based electrodes to classify inattentional deafness in a flight stimulator Frontiers in Neuroergonomics, 2.
• Haartsen, R., Mason, L., Braithwaite, E. K., Del Bianco, T., Johnson, M. H., & Jones, E. J. (2021). Reliability of an automated gaze‐controlled paradigm for capturing neural responses during visual and face processing in toddlerhood. Developmental Psychobiology, 63(7), e22157.
• Gupta, S. S., Taori, T. J., Ladekar, M. Y., Manthalkar, R. R., Gajre, S. S., & Joshi, Y. V. (2021). Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics. Biomedical Signal Processing and Control, 70, 103070.
• Liu, J., Tan, G., Sheng, Y., Wei, Y., & Liu, H. (2021). A novel delay estimation method for improving corticomuscular coherence in continuous synchronization events. IEEE Transactions on Biomedical Engineering.
• Izadi, B., Ghaedi, A., & Ghasemian, M. (2021). Neuropsychological responses of consumers to promotion strategies and the decision to buy sports products. Asia Pacific Journal of Marketing and Logistics.
• Mangaroska, K., Sharma, K., Gašević, D., & Giannakos, M. (2021). Exploring students' cognitive and affective states during problem solving through multimodal data: Lessons learned from a programming activity
• Villafaina, S., Fuentes-García, J. P., Gusi, N., Tornero-Aguilera, J. F., & Clemente-Suárez, V. J. (2021). Psychophysiological response of military pilots in different combat flight maneuvers in a flight simulator. Physiology & Behavior, 238, 113483.
• Possti, D., Fahoum, F., Sosnik, R., Giladi, N., Hausdorff, J. M., Mirelman, A., & Maidan, I. (2021). Changes in the EEG spectral power during dual-task walking with aging and Parkinson’s disease: initial findings using Event-Related Spectral Perturbation analysis. Journal of neurology, 268(1), 161-168.
• Ghaedi, A., Izadi, B., & Ghasemian, M. (2021).Investigation the Neuro - Physiological Responses of Consumer on the Endorsement and Discount Strategies in Sports Products. Sport Management and Development.
• Gupta, S. S., Manthalkar, R. R., & Gajre, S. S. (2021). Mindfulness intervention for improving cognitive abilities using eeg signal. Biomedical Signal Processing and Control, 70, 103072.
• Abdul Hamid, F., Naufal Mohamad Saad, M., & Haris, N. (2021). Comparison of Fractal Dimension and Wavelet Transform Methods in Classification of Stress State from EEG Signals. International Journal Of Computing and Digital System.
• Zhang, D. W., Zaphf, A., & Klingberg, T. (2021). Resting State EEG Related to Mathematical Improvement After Spatial Training in Children. Frontiers in Human Neuroscience, 15, 379.
• Brice, D., Gibson, Z., McGuinness, F., & Rafferty, K. (2021). Using Ultrasonic Haptics Within an Immersive Spider Exposure Environment to Provide a Multi-Sensorial Experience. Front. Virtual Real. 2: 707731. doi: 10.3389/frvir.
• Nguyen-Danse, D. A., Singaravelu, S., Chauvigné, L. A., Mottaz, A., Allaman, L., & Guggisberg, A. G. (2021). Feasibility of Reconstructing Source Functional Connectivity with Low-Density EEG. Brain Topography, 34(6), 709-719.
• Kulkarni, V., Joshi, Y., & Manthalkar, R. (2021). Sensory-Motor Cortex Signal Classification for Rehabilitation Using EEG Signal. In Applied Information Processing Systems (pp. 273-282). Springer, Singapore.
• Rajendran, V. G., Jayalalitha, S., & Adalarasu, K. (2021). EEG Based Evaluation of Examination Stress and Test Anxiety Among College Students. IRBM
• Zero, E., Graffione, S., Bersani, C., & Sacile, R. (2021). A BCI Driving System to Understand Brain Signals Related to Steering. In ICINCO (pp. 745-751).
• Teixeira, A. R., Rodrigues, I., Gomes, A., Abreu, P., & Rodríguez-Bermúdez, G. (2021). Using Brain Computer Interaction to Evaluate Problem Solving Abilities. In International Conference on Human-Computer Interaction (pp. 74-83). Springer, Cham.
• Veilahti, A. V. P., Kovarskis, L., & Cowley, B. U. (2021). Neurofeedback Learning Is Skill Acquisition but Does Not Guarantee Treatment Benefit: Continuous-Time Analysis of Learning-Curves From a Clinical Trial for ADHD. Frontiers in human neuroscience, 15.
• Simpson, T. G., & Rafferty, K. (2021). Investigating the P300 Response as a Marker of Working Memory in Virtual Training Environments. IEEE Transactions on Human-Machine Systems, 51(3), 265-277.
• Ladekar, M. Y., Gupta, S. S., Joshi, Y. V., & Manthalkar, R. R. (2021). EEG based visual cognitive workload analysis using multirate IIR filters. Biomedical Signal Processing and Control, 68, 102819.
• Kim, H. S., Jo, J. H., Lee, J. H., Jung, J. J., An, J. S., Choi, M. H., & Chung, S. C. (2021, June). Development of a Tactile Actuator with Non-Contact and Trans-Object Characteristics Using a Time-Varying Magnetic Field. In Actuators (Vol. 10, No. 6, p. 106). Multidisciplinary Digital Publishing Institute.
• Rosanne, O., Albuquerque, I., Cassani, R., Gagnon, J. F., Tremblay, S., & Falk, T. H. (2021). Adaptive filtering for improved eeg-based mental workload assessment of ambulant users. Frontiers in Neuroscience, 15, 341.
• Roza, V. C. C., & Postolache, O. (2021). β-Band Analysis from Simulated Flight Experiments. Aerospace, 8(5), 120.
• Magnuson, J. R., Doesburg, S. M., & McNeil, C. J. (2021). Development and recovery time of mental fatigue and its impact on motor function. Biological psychology, 161, 108076.
• Zero, E., Bersani, C., & Sacile, R. (2021). Identification of Brain Electrical Activity Related to Head Yaw Rotations Sensors, 21(10), 3345.
• Bersani, C., Sacile, R., & Zero, E. (2021). Towards a reverse world in automation: human as a sensor.
• Gollob, E., Mayer, M., & Braumann, J. (2021). Using Robotics and AI to Physically Explore a Space of Aesthetic Possibilities: Defining a Physical Aesthetic Experience by the Targeted EEG Feedback of the Perceiver. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 1-8).
• Zero, E., Bersani, C., & Sacile, R. (2021). EEG Based BCI System for Driver's Arm Movements Identification. Automation, Robotics & Communications for Industry 4.0 (2021): 77.
• Babiker, A., & Faye, I. (2021). A Hybrid EMD-Wavelet EEG Feature Extraction Method for the Classification of Students’ Interest in the Mathematics Classroom. Computational intelligence and neuroscience, 2021.
• Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-García, J. M. (2021). The effect of media professionalization on cognitive neurodynamics during audiovisual cuts. Frontiers in Systems Neuroscience, 2.

• Eduardo Quiles, Ferran Suay, Gemma Candela, Nayibe Chio, Manuel Jiménez, Leandro Álvarez-Kurogi. Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation(January 2020)
• Xavier Duart, Eduardo Quiles, Ferran Suay, Nayibe Chio, Emilio García, Francisco Morant. Evaluating the Effect of Stimuli Color and Frequency on SSVEP. (December 2020)
• Fechtali, T., & Ettahiri, H. Use of New Communication Technologies in the Behavioral and Cognitive Awareness of Road Users: Toward Safe Driving., (April 2020).

• Cardellicchio, P., Hilt, P. M., Dolfini, E., Fadiga, L., & D’Ausilio, A. Beta Rebound as an Index of Temporal Integration of Somatosensory and Motor Signals. Frontiers in Systems Neuroscience, (September 2020).
• Civile, C., Waguri, E., Quaglia, S., Wooster, B., Curtis, A., McLaren, R., Lavric, A., & McLaren, I. P. L. Testing the effects of transcranial direct current stimulation (tDCS) on the face inversion effect and the N170 event-related potentials (ERPs) component. Neuropsychologia, (April 2020).
• Liu, J., Tan, G., Sheng, Y., & Liu, H. Multiscale transfer spectral entropy for quantifying corticomuscular interaction. IEEE Journal of Biomedical and Health Informatics, (October 2020).
• Bogacz, M., Hess, S., Calastri, C., Choudhury, C. F., Erath, A., van Eggermond, M. A. B., Mushtaq, F., Nazemi, M., & Awais, M. Comparison of Cycling Behavior between Keyboard-Controlled and Instrumented Bicycle Experiments in Virtual Reality. Transportation Research Record: Journal of the Transportation Research Board, (April 2020).
• Ossmy, O., Han, D., Kaplan, B., Xu, M., Bianco, C., Mukamel, R., & Adolph, K. Looking without seeing: Children do not distinguish efficient from inefficient means to achieve a goal., (2020).
• Badesa, F. J., Diez, J. A., Barios, J. A., Catalan, J. M., & Garcia-Aracil, N. Evaluation of performance and heart rate variability during intensive usage of a BCI-controlled hand exoskeleton., (October 2020).
• Riquelme-Ros, J. V., Rodríguez-Bermúdez, G., Rodríguez-Rodríguez, I., Rodríguez, J. V., & Molina-García-pardo, J. M. On the better performance of pianists with motor imagery-based brain-computer interface systems. Sensors (Switzerland), (August 2020).
• Škola, F., Rizvić, S., Cozza, M., Barbieri, L., Bruno, F., Skarlatos, D., & Liarokapis, F. Virtual reality with 360-video storytelling in cultural heritage: Study of presence, engagement, and immersion. Sensors (Switzerland), (October 2020).
• Ruzzoli, M., McGuinness, A., Fernández, L. M., & Soto-Faraco, S. From cognitive control to visual incongruity: Conflict detection in surrealistic images. PLoS ONE, (June 2020).
• Banerjee, T., Chattaraman, V., Zou, H., & Deshpande, G. A neurobehavioral study on the efficacy of price interventions in promoting healthy food choices among low socioeconomic families. Scientific Reports, (September 2020).
• Cimtay, Y., Ekmekcioglu, E., & Caglar-Ozhan, S. Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion. IEEE Access, (September 2020).
• Gupta, S. S., & Manthalkar, R. R. Classification of visual cognitive workload using analytic wavelet transform. Biomedical Signal Processing and Control, (June 2020).
• Wang, Y., Shi, Y., Du, J., Lin, Y., & Wang, Q. A CNN-based personalized system for attention detection in wayfinding tasks. Advanced Engineering Informatics, (August 2020).
• Fortune, E., Yusuf, Y., Zornes, S., Lopez, J. L., & Blocker, R. Assessing induced emotions in employees in a workplace setting using wearable devices. Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, (July 2020).
• Dehais, F., Somon, B., Mullen, T., & Callan, D. E.A Neuroergonomics Approach to Measure Pilot ’ s Cognitive Incapacitation in the Real World with EEG A Neuroergonomics Approach to Measure Pilot ’ s Cognitive Incapacitation in the Real World with EEG. Introduction Operating aircrafts is a complex activit, (March 2020).
• Fuentes-García, J. P., Villafaina, S., Collado-Mateo, D., Cano-Plasencia, R., & Gusi, N. Chess players increase the theta power spectrum when the difficulty of the opponent increases: An EEG study. International Journal of Environmental Research and Public Health, (January 2020).
• Shajil, N., Mohan, S., Srinivasan, P., Arivudaiyanambi, J., & Arasappan Murrugesan, A.Multiclass Classification of Spatially Filtered Motor Imagery EEG Signals Using Convolutional Neural Network for BCI Based Applications. Journal of Medical and Biological Engineering, (June 2020).
• Kalampratsidou, V., & Torres, E. B. Sonification of heart rate variability can entrain bodies in motion. ACM International Conference Proceeding Series, (July 2020).
• Beck, M., Simony, C., Zibrandtsen, I., & Kjaer, T. W. Readiness among people with epilepsy to carry body-worn monitor devices in everyday life: A qualitative study. Epilepsy and Behavior, (August 2020).
• Yu, M., Sun, Y., Zhu, B., Zhu, L., Lin, Y., Tang, X., Guo, Y., Sun, G., & Dong, M. Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG. Neurocomputing, (October 2020).
• Vigué‐Guix, I., Morís Fernández, L., Torralba Cuello, M., Ruzzoli, M., & Soto‐Faraco, S. Can the occipital alpha‐phase speed up visual detection through a real‐time EEG‐based brain‐computer interface (BCI)? European Journal of Neuroscience, (July 2020).
• Wirth, C., Toth, J., & Arvaneh, M. Four-Way Classification of EEG Responses To Virtual Robot Navigation., (August 2020).
• Rahim, A. M. A., Mansor, W., Morawakage, D. P., Kamaru Zaman, F. H., Jaafar, N., Che Daud, A. Z., & Ahmad Roslan, N. F. Spectral Analysis of EEG Signals obtained during Mirror Therapy and Imagined Hand Movements. 2020 IEEE Symposium on Industrial Electronics and Applications, (July 2020).
• Cimtay, Y., & Ekmekcioglu, E. Investigating the use of pretrained convolutional neural network on cross-subject and cross-dataset eeg emotion recognition., (April 2020).
• Fisher, J. A. N., Gumenchuk, I., Rogovin, O. S., Yodh, A. G., & Busch, D. R. Asymmetric , dynamic adaptation in prefrontal cortex during dichotic listening tasks., (November 2020).
• Possti, D., Fahoum, F., Sosnik, R., Giladi, N., Hausdorff, J. M., Mirelman, A., & Maidan, I. Changes in the EEG spectral power during dual-task walking with aging and Parkinson’s disease: initial findings using Event-Related Spectral Perturbation analysis. Journal of Neurology, (July 2020).
• Sun, G., Wen, Z., Ok, D., Doan, L., Wang, J., & Chen, Z. S. Detecting acute pain signals from human EEG. Journal of Neuroscience Methods, (August 2020).
• Byzova, A., Hekmatmanesh, A., Roozbahani, H., Handroos, H., Hakansson, N., & Lankarani, H. M. Real-Time Human Body and Brain Monitoring During Horseback Riding Simulator by Means of Inertial Motion Capture and EEG Systems. IEEE Access, (September 2020).
• Al-khuzaei, F., Alyafei, D., & Homoud, L. A. L. RECOGNITION OF THE UPPER LIMB ’ S MOTION INTENTION USING ELECTROENCEPHALOGRAM AND MACHINE LEARNING., (May 2020).
• Sharma, Kshitij, Zacharoula Papamitsiou, Jennifer K. Olsen, and Michail Giannakos. Predicting learners’ effortful behaviour in adaptive assessment using multimodal data. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, pp. 480-489. (March 2020).
• Dehais, Frédéric, Bertille Somon, Tim Mullen, and Daniel E. Callan. A Neuroergonomics Approach to Measure Pilot’s Cognitive Incapacitation in the Real World with EEG. AHFE conference 20202, At San Diego (March 2020)
• Song, Youngjae, and Francisco Sepulveda. Comparison between covert sound-production task (sound-imagery) vs. motor-imagery for onset detection in real-life online self-paced BCIs. Journal of NeuroEngineering and Rehabilitation 17, no. 1 (February 2020).
• Quiles, Eduardo, Ferran Suay, Gemma Candela, Nayibe Chio, Manuel Jiménez, and Leandro Álvarez-Kurogi. Low-Cost Robotic Guide Based on a Motor Imagery Brain–Computer Interface for Arm Assisted Rehabilitation. International Journal of Environmental Research and Public Health 17, no. 3 (January 2020).
• Gu, Xiaotong, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, and Chin-Teng Lin. EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. arXiv preprint arXiv:2001.11337 (January 2020).
• de’Sperati, Claudio. Cortical Resonance to Visible and Invisible Visual Rhythms. Brain Sciences 10, no. 1 (January 2020).
• Adcock, Manuela, Floriana Sonder, Alexandra Schättin, Federico Gennaro, and Eling D. de Bruin. A usability study of a multicomponent video game-based training for older adults. European Review of Aging and Physical Activity 17, no. 1 (January 2020)
• Kamal Sharma, Neeraj Jain, Prabir K.Pal,Detection of eye closing/opening from EOG and its application in robotic arm control Biocybernetics and Biomedical Engineering, (January2020)

• Mendonça, Fábio, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, and Antonio G. Ravelo-García. A Portable Wireless Device for Cyclic Alternating Pattern Estimation from an EEG Monopolar Derivation. Entropy 21, no. 12 (December 2019)
• Fuentes-García, Juan Pedro, Santos Villafaina, Daniel Collado-Mateo, Ricardo Cano-Plasencia, and Narcis Gusi. Chess Players Increase the Theta Power Spectrum When the Difficulty of the Opponent Increases: An EEG Study. International Journal of Environmental Research and Public Health 17, no. 1 (December 2019).
• Wirth, C., P. M. Dockree, S. Harty, E. Lacey, and M. Arvaneh. Towards error categorisation in BCI: single-trial EEG classification between different errors. Journal of neural engineering 17, no. 1 (December 2019).
• Giannakos, Michail N., Kshitij Sharma, and Evangelos Niforatos. Exploring EEG signals during the different phases of game-player interaction. In 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), pp. 1-8. IEEE, (September 2019).
• Byzova, Alina, Hamid Roozbahani, Heikki Handroos, Nils Hakansson, and Hamid M. Lankarani. Monitoring of the human body and brain behavior using optical motion capture system and EEG utilizing horseback riding simulator: an extended case study. Journal of physical therapy science 32, no. 1 (October 2019)
• Dehais, Frédéric, Imad Rida, Raphaëlle N. Roy, John Iversen, Tim Mullen, and Daniel Callan. A pBCI to Predict Attentional Error Before it Happens in Real Flight Conditions. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 4155-4160. IEEE, (October 2019).
• Parent, Mark, Abhishek Tiwari, Isabela Albuquerque, Jean-François Gagnon, Daniel Lafond, Sébastien Tremblay, and Tiago H. Falk. A Multimodal Database for Mental Workload, Stress, and Fatigue Assessment of Ambulant First Responders. IEEE SMC 9th Workshop on Brain-Machine Interface (BMI) Systems (October 2019)
• Albuquerque, Isabela, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, and Tiago H. Falk. Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3647-3653. IEEE, (October 2019).
• Kavanaugh, Brian, Alexa Fryc, Simona Temereanca Ibanescu, Eric Tirrell, Lindsay Oberman, Linda Carpenter, and Anthony Spirito. The Preliminary Investigation of Multi-Level Working Memory in Predicting Anxiety/Depressive Symptomatology in Childhood/Adolescence. (August 2019).
• Sharma, Kamal, and Soumitra Kar. Extracting multiple commands from a single SSVEP flicker using eye-accommodation. Biocybernetics and Biomedical Engineering 39, no. 3 (August 2019).
• Mora, Diego Andrés Blanco, Sergi Bermúdez i Badia, Yuri Almeida, and Carolina Jorge Vieira. Inter-and Intra-Hemispheric EEG Connectivity in Healthy Subjects and Chronic Stroke Survivors. In 2019 International Conference on Virtual Rehabilitation (ICVR), pp. 1-6. IEEE, (July 2019).
• Villafaina, Santos, et al.,Effects of Exergames on Brain Dynamics in Women with Fibromyalgia: A Randomized Controlled Trial Journal of Clinical Medicine, (July 2019)
• Athanasios Vouropoulos, Carolina Jorge, Rodolfo Abreu, Patricia Figueiredo, Jean-Claude Fernandes and Sergi Bermúdez i Badia,Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report Frontiers in Human Neuroscience, (July 2019)
• Ibáñez-Soria, David, Aureli Soria-Frisch, Jordi Garcia-Ojalvo, and Giulio Ruffini. Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks. PloS one 14, no. 7 (July 2019).
• Babiker, Areej, et al.,EEG in classroom: EMD features to detect situational interest of students during learning Multimedia Tools and Applications , (June 2019)
• Škola, Filip, and Fotis Liarokapis. Examining and Enhancing the Illusory Touch Perception in Virtual Reality Using Non-Invasive Brain Stimulation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1-12. (May 2019).
• Hekmatmanesh, Amin, Huapeng Wu, Ali Motie-Nasrabadi, Ming Li, and Heikki Handroos. Combination of discrete wavelet packet transform with detrended fluctuation analysis using customized mother wavelet with the aim of an imagery-motor control interface for an exoskeleton. Multimedia Tools and Applications 78, no. 21 (May 2019).
• Davidesco, Ido, Emma Laurent, Henry Valk, Tessa West, Suzanne Dikker, Catherine Milne, and David Poeppel. Brain-to-brain synchrony between students and teachers predicts learning outcomes. bioRxiv (May 2019).
• Villafaina, Santos, Daniel Collado-Mateo, Juan P. Fuentes-García, Ricardo Cano-Plasencia, and Narcís Gusi. Impact of Fibromyalgia on Alpha-2 EEG Power Spectrum in the Resting Condition: A Descriptive Correlational Study. BioMed research international 2019 (April 2019).
• Ibrahim, Ibrahim Amer, Hua-Nong Ting, and Mahmoud Moghavvemi. A Novel Approach for Classifying Native Chinese and Malay Speaking Persons According to Cortical Auditory Evoked Responses. The journal of international advanced otology 15, no. 1 (March 2019)
• Tiwari, Shivani, Varsha Sharma, Mubarak Mujawar, Yogendra Kumar Mishra, Ajeet Kaushik, and Anujit Ghosal. Biosensors for epilepsy management: state-of-art and future aspects. Sensors 19, no. 7 (March 2019).
• Stephen Snow, Amy Boyson, Karlien H.W.Paas, Hannah Gough, Marco Felipe-King, Janet Barlow, Catherine J.Noakes, M.C.Schraefel, Exploring the physiological, neurophysiological and cognitive performance effects of elevated carbon dioxide concentrations indoors ScienceDirect, (April 2019)
• Dehais, Frédéric, et al.,Monitoring pilot’s mental workload using ERPs and spectral power with a six-dry-electrode EEG System in real flight conditions Sensors, (March 2019)
• Maidan, Inbal, et al.,User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients Journal of Neuroengineering and Rehabilitation, (February 2019)
• Bertomeu-Motos, Arturo, et al.,changes in event-related potentials during dual-task walking in ageing and Parkinson's disease. Clinical Neurophysiology,(February 2019)
• Garakani, Golnoosh, Hamed Ghane, and Mohammad Bagher Menhaj. Control of a 2-DoF robotic arm using a P300-based brain-computer interface. arXiv preprint arXiv:1901.01422 (January 2019).
• Villafaina, Santos, Carolina Sitges, Daniel Collado-Mateo, Juan P. Fuentes-García, and Narcis Gusi. Influence of depressive feelings in the brain processing of women with fibromyalgia: An EEG study. Medicine 98, no. 19 (January 2019).
• Frédéric Dehais, Alban Duprès, Sarah Blum 2OrcID, Nicolas Drougard, Sébastien Scannella, Raphaëlle N. Roy and Fabien Lotte, Monitoring Pilot’s Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions, Sensors (January 2019)
• Villafaina, Santos, et al.,Electroencephalographic response of chess players in decision-making processes under time pressure Physiology & Behavior, (January 2019)

• Frédéric Dehais, Alban Duprès, Gianluca Di Flumeri, Kevin J. Verdière, Gianluca Borghini, Fabio Babiloni and Raphaël N. Roy Monitoring pilot's cognitive fatigue with engagement features in simulated and actual flight conditions using a hybrid fNIRS-EEG passive BCI, IEEE SMC, (July 2018)
• Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Nicola Sciaraffa, and Fabio Babiloni Passive BCI beyond the lab: current trends and future directions, IOP Science, (July 2018)
• Crea, Simona, Marius Nann, Emilio Trigili, Francesca Cordella, Andrea Baldoni, Francisco Javier Badesa, José Maria Catalán et al. Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living. Scientific reports 8, no. 1 (July 2018).
• Iacob, Andrei, Mihail Morosan, Francisco Sepulveda, and Riccardo Poli. Genetic optimisation of BCI systems for identifying games related cognitive states. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 237-238. (July 2018).
• Yingzi Lin, Li Wang, Yan Xiao Objective Pain Measurement based on Physiological Signals, Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, https://doi.org/10.1177/2327857918071056, (June 2018)
• Zara Gibson, Joseph Butterfiled, Matthew Rodger, Brian Murphy, Adelaide Marzano Use of Dry Electrode Electroencephalography (EEG) to Monitor Pilot Workload and Distraction Based on P300 Responses to an Auditory Oddball Task, https://doi.org/10.1007/978-3-319-94866-9_2 (June 2018)
• Bo Liang, Yingzi Lin, Using physiological and behavioral measurements in a picture-based road hazard perception experiment to classify risky and safe drivers, Science Direct, https://doi.org/10.1016/j.trf.2018.05.024. (June 2018)
• Yun Lu, Mingjiang Wang, Qiquan Zhang and Yufei Han, Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning entropy, Entropy Measures for Data Analysis, (May 2018)
• Eltaf Abdalsalam, Mohd Zuki Yusoff, Dalia Mahmoudb Aamir Saeed Malik, Mohammad Rida Bahloula Discrimination of four class simple limb motor imagery movements for brain–computer interface Elsevier, Biomedical Signal Processing and Control, https://doi.org/10.1016/j.bspc.2018.04.010, (July 2018)
• Thejaswini, S & Ravikumar, K.M.. (2018). Detection of human emotions using features based on discrete wavelet transforms of EEG signals. International Journal of Engineering and Technology(UAE). 7. 119-122. 10.14419/ijet.v7i1.9.9746. (March 2018)
• Salvatore Maria Anzalone, Jean Xavier, Sofiane Boucenna, Lucia Billeci, Antonio Narzisi, Filippo Muratori, David Cohen, MohamedC hetouani Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment, Patter Recognition Letters, Elsevier, https://doi.org/10.1016/j.patrec.2018.03.007, (March 2018)
• D. Ibanez-Soria, A. Soria-Frisch, J.Garcia-Ojalvo, Jacobo Picardo, Gloria García-Banda, Mateu Servera, Giulio Ruffini Hypoarousal non-stationary ADHD biomarker based on echostate networks, bioRxiv, doi: http://dx.doi.org/10.1101/271858, (March 2018)
• D. Ibanez-Soria, A. Soria-Frisch, J Garcia-Ojalvo, G Ruffini Echo State Networks Ensemble for SSVEP, bioRxiv 268581; doi: https://doi.org/10.1101/268581 (February 2018)
• U. Walter, S. Noachtar and H. Hinrichs Digitale Elektroenzephalographie in der Hirntoddiagnostik, Der Nervenarzt, February 2018, Volume 89, Issue 2, pp 156–162, (February 2018)
• Vojkan Mihajlović; Shrishail Patki; Jiawei Xu Noninvasive wearable brain sensing, IEEE, doi:10.1109/ICSENS.2017.8234430, (February 2018)
• Vijey Thayananthan and Abdullah Basuhail, Integration of Wearable Smart Sensor for Improving e-Healthcare, (IJACSA) International Journal of Advanced Computer Science and Applications, (February 2018)
• Parisa Nahaltahmasebi,Mohamed Chetouani1,David Cohen and Salvatore Anzalone, Detecting attention breakdowns in robotic neurofeedback systems, (January 2018)
• Juan P. FuentesSantos VillafainaDaniel Collado-MateoRicardo de la VegaNarcis GusiVicente Javier Clemente-Suárez Use of Biotechnological Devices in the Quantification of Psychophysiological Workload of Professional Chess Players, Journal of Medical systems (January 2018)
• Andrade, Katia, Nesma Houmani, Bruno Dubois, and François Vialatte. [ https://www.scitepress.org/Papers/2017/65587/65587.pdf Neurofeedback as a Neurorehabilitation Tool for Memory Deficits: a phase 0 clinical trial.] (January 2018)
• Mohamed, E.A., Yusoff, M.Z., Malik, A.S. et al. Comparison of EEG signal decomposition methods in classification of motor-imagery BCI Multimed Tools Appl. https://doi.org/10.1007/s11042-017-5586-9 (January 2018)

• Mohammed G. Al-Zidi, Jayasree Santhosh, Siew‐Cheok Ng, Abdul Rauf A Bakar and Ibrahim Amer Ibrahim Cortical auditory evoked potentials as indicators of hearing aids performance in speech perception. (December 2017)
• Hassan F. Morsi, M. I. Youssef, G. F. Sulatan Novel Design Based Internet of Things to Counter Lone Wolf Part B: Berlin Attack International Journal of Mathematical and Computational Methods, December (2017)
• Roylan Quesada-Tabares, Alberto J. Molina-Cantero, Isabel M. Gómez-González,Manuel Merino-Monge, Juan A. Castro-García and Rafael Cabrera-Cabrera, - Emotions Detection based on a Single-electrode EEG Device , (November 2017)
• Adelyn P. Tu-Chan, Nikhilesh Natraj, Jason Godlove, Gary Abrams and Karunesh Ganguly. Effects of somatosensory electrical stimulation on motor function and cortical oscillations., BioMed Central, 13 November 2017 (November 2017)
• Kerous B, Liarokapis F. BrainChat - A Collaborative Augmented Reality Brain Interface for Message Communication. Mixed and Augmented Reality (ISMAR-Adjunct), 2017 IEEE International Symposium on doi: 10.1109/ISMAR-Adjunct.2017.91 (October 2017)
• Abdalsalam E, Yusoff MZ, Malik A, Kamel NS, Mahmoud D. Modulation of sensorimotor rhythms for brain-computer interface using motor imagery with online feedback. Springer | Signal, Image and Video Processing. 2017:1-8. (October 2017)
• Henshaw J, Liu W, Romano DM. Improving SSVEP-BCI Performance Using Pre-Trial Normalization Methods. (September 2017)
• Vourvopoulos A, Niforatos E, Hlinka M, Škola F, Liarokapis F. Investigating the Effect of User Profile during Training for BCI-based Games. (September 2017)
• Awais M, Badruddin N, Drieberg MA. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability. Sensors 2017, 17(9), 1991 doi: 10.3390/s17091991 (August 2017)
• Kamal Sharma, Neeraj Jain, Prabir K. Pal. Telemanipulation of a Robotic Arm using EEG Artifacts. International Journal of Mechatronics, Electrical and Computer Technology (IJMEC) (August 2017)
• Kaczmarek T, Ozturk E, Tsudik G. Assentication: User Deauthentication and Lunchtime Attack Mitigation with Seated Posture Biometric. Cornell University Library: Computer Science / Cryptography and Security doi: arXiv:1708.03978 (August 2017)
• Hlinka M. Motor Imagery based Brain-Computer Interface used in a simple Computer Game. Masaryk University / Faculty of Informatics (August 2017)
• Ratti E, Waninger S, Berka C, Ruffini G, Verma A. Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials. Front. Hum. Neurosci. 11:398. doi: 10.3389/fnhum.2017.00398 (August 2017)
• Marta Castellano, Source localization for EEG and why to work on cortical space, Blog of Neuroelectrics (July 2017)
• Angulo-Sherman IN, Rodríguez-Ugarte M, Iáñez E, Ortiz M; Azorín JM. Effect on the classification of motor imagery in EEG after applying anodal tDCS with a 4×1 ring montage over the motor cortex. Rehabilitation Robotics (ICORR), 2017 International Conference on doi: 10.1109/ICORR.2017.8009349 (July 2017)
• Ishikawa Y, Nishibata K, Takata M, Kamo H, Joe K. Validation of EEG Authentication Accuracy with Electrode Slippage. Int'l Conf. Par. and Dist. Proc. Tech. and Appl. – PDPTA'17 (July 2017)
• Jaumard-Hakoun A, Chikhi S, Medani T, Nair A, Dreyfus G, Vialatte F-B. A biofeedback approach to investigate neurocognitive mechanisms of feedback-based learning. The First Biannual Neuroadaptive Technology Conference (July 2017)
• Kaklauskas A, Zavadskas EK, Banaitis A, Meidute-Kavaliauskiene I, Liberman A, Dzitac S, Ubarte I, Binkyte A, Cerkauskas J, Kuzminske A, Naumcik A. A neuro-advertising property video recommendation system. Technological Forecasting and Social Change doi: doi.org/10.1016/j.techfore.2017.07.011 (July 2017)
• Rodríguez-Ugarte M, Iáñez E, Ortíz M, Azorín JM. Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent. Front. Neuroinform. 11:45 doi: 10.3389/fninf.2017.00045 (July 2017)
• Ryu J, Vero J, Torres EB. Methods for Tracking Dynamically Coupled Brain-Body Activities during Natural Movement. MOCO'17, Proceedings of the 4th International Conference on Movement Computing Article No. 2 (June 2017)
• Barios JA, Ezquerro S, Bertomeu-Motos A, Fernandez E, Nann M, Soekadar SR, Garcia-Aracil N. Delta-Theta Intertrial Phase Coherence Increases During Task Switching in a BCI Paradigm. International Work-Conference on the Interplay Between Natural and Artificial Computation. Springer, Cham, 2017. p. 96-108 doi: 10.1007/978-3-319-59773-7_11 (May 2017)
• Anzalone SM, Tanet A, Pallanca O, Cohen D, Chetouani M. A humanoid robot controlled by neurofeedback to reinforce attention in autism spectrum disorder. (May 2017)
• Andreu-Sánchez C, Martín-Pascual MÁ, Gruart A, Delgado-García JM. Looking at reality versus watching screens: Media professionalization effects on the spontaneous eyeblink rate. PloS one doi: org/10.1371/journal.pone.0176030 (May 2017)
• Hsu, Wan-Yu, Theodore P. Zanto, Martine R. van Schouwenburg, and Adam Gazzaley. Enhancement of multitasking performance and neural oscillations by transcranial alternating current stimulation. PloS one 12, no. 5 (May 2017).
• Huzooree G, Kumar Khedo K, Joonas N. Pervasive mobile healthcare systems for chronic disease monitoring. Health Informatics Journal. 2017 (May 2017)
• Frey J, Gervais R, Lainé T, Duluc M, Germain H, Fleck S, Lotte F, Hachet M. Scientific Outreach with Teegi, a Tangible EEG Interface to Talk about Neurotechnologies. InCHI'17 Interactivity-SIGCHI Conference on Human Factors in Computing System 2017 doi: dx.doi.org/10.1145/3027063.3052971 (May 2017)
• Angulo-Sherman IN, Rodríguez-Ugarte M, Sciacca N, Iáñez E, Azorín JM. Effect of tDCS stimulation of motor cortex and cerebellum on EEG classification of motor imagery and sensorimotor band power. Journal of NeuroEngineering and Rehabilitation doi:10.1186/s12984-017-0242-1 (April 2017)
• Cociu BA, Das S, Billeci L, Jamal W, Maharatna K, Calderoni S, Narzisi A, Muratori F. Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach with EEG, fMRI and DTI. IEEE Transactions on Cognitive and Developmental Systems (Volume: PP, Issue:99) doi: 10.1109/TCDS.2017.2680408 (March 2017)
• Andreu-Sánchez C, Martín-Pascual MÁ, Gruart A, Delgado-García JM. Eyeblink rate watching classical Hollywood and post-classical MTV editing styles, in media and non-media professionals. Scientific Reports doi: 10.1038/srep43267 (February 2017)
• Aliansyah AN, Arifin A, Purwanto D, Fatoni MH. Extraction of Brain Signal during Motor Imagery Task for Wheelchair Control Command.. Int'l Conference on Research & Innovation in Computer, Electronics and Manufacturing Engineering (RICEME-17) doi: doi.org/10.17758/EIRAI.F0217118 (February 2017)
• Hesham M. Energy efficient compression techniques for biological signals on a sensors node. University of British Columbia doi: 10.1109/IWW-BCI.2017.7858143 (February 2017)
• AlQattan D, Sepulveda F. Towards sign language recognition using EEG-based motor imagery brain computer interface. Brain-Computer Interface (BCI), 2017 5th International Winter Conference on doi: 10.1109/IWW-BCI.2017.7858143 (February 2017)
• Song Y, Sepulveda F. An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenarios. Brain-Computer Interface (BCI), 2017 5th International Winter Conference on doi: 10.1109/IWW-BCI.2017.7858155 (February 2017)
• Andreu-Sánchez C, Martín-Pascual MÁ, Gruart A, Delgado-García JM. Eyeblink rate watching classical Hollywood and post-classical MTV editing styles, in media and non-media professionals. Scientific Reports 7, Article number: 43267 doi: 10.1038/srep43267 (February 2017)
• Gui Q. Creating Event-Related Potential Based Brain Biometrics: A Data Fusion Perspective. State University of New York at Binghamton, ProQuest Dissertations Publishing, 2017. 10278735. (February 2017)
• van Schouwenburg MR, Zanto TP, Gazzaley A. Spatial Attention and the Effects of Frontoparietal Alpha Band Stimulation. Frontiers in Human Neuroscience doi: 10.3389/fnhum.2016.00658 (January 2017)
• Leminen, Miika M., Jussi Virkkala, Emma Saure, Teemu Paajanen, Phyllis C. Zee, Giovanni Santostasi, Christer Hublin et al. Enhanced memory consolidation via automatic sound stimulation during non-REM sleep. Sleep 40, no. 3 (January 2017).
• Andreu-Sánchez, Celia, Miguel Ángel Martín-Pascual, Agnès Gruart, and José María Delgado-García. Eyeblink rate watching classical Hollywood and post-classical MTV editing styles, in media and non-media professionals. Scientific reports 7 (January 2017)
• Wu J, Jia W, Xu C, Gao D, Sun M. Impedance analysis of ZnO nanowire coated dry EEG electrodes. Journal of Biomedical Engineering and Informatics doi: 10.5430/jbei.v3n1p44 (January 2017)

• Schättin A, de Bruin ED. Combining Exergame Training with Omega-3 Fatty Acid Supplementation: Protocol for a Randomized Controlled Study Assessing the Effect on Neuronal Structure/Function in the Elderly Brain. Frontiers in Aging Neuroscience doi: org/10.3389/fnagi.2016.00283 (November 2016)
• Ramadan RA, Vasilakos AV. Brain Computer Interface: Control Signals Review. Neurocomputing doi: 10.1016/j.neucom.2016.10.024(October 2016)
• Mishra P, Singla SK. Development of Biometric Verification Algorithm using Electroencephalogram (EEG). Thapas University - Patiala(October 2016)
• Udovicic G, Topic A, Russo M. Wearable Technologies for Smart Environments: A Review with Emphasis on BCI. SYM1/I - 96196 - 2209 © SoftCOM 2016 doi:10.1007/978-3-319-46669-9_179 (October 2016)
• Rodríguez-Ugarte M, Costa Á, Iáñez E, Úbeda A, Azorín JM. Pseudo-Online Detection of Intention of Pedaling Start Cycle Through EEG Signals. Converging Clinical and Engineering Research on Neurorehabilitation II Volume 15 of the series Biosystems & Biorobotics pp 1103-1107 doi:10.1007/978-3-319-46669-9_179 (October 2016)
• Perales FJ, Amengual E. Combining EEG and Serious Games for Attention Assessment of Children with Cerebral Palsy. Converging Clinical and Engineering Research on Neurorehabilitation II, Volume 15 of the series Biosystems & Biorobotics pp 395-399 doi:10.1007/978-3-319-46669-9_66 (October 2016)
• Krachunov S, Casson AJ. 3D Printed Dry EEG Electrodes. Sensors 2016, 16(10), 1635 doi:10.3390/s16101635 (October 2016)
• Jain A, Abbas B, Farooq O, Garg SK. Fatigue detection and estimation using auto-regression analysis in EEG. Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on doi: 10.1109/ICACCI.2016.7732190 (September 2016)
• Gavin M, Jedir R, Neff F. Sonification playback rates during matching tasks of visualised and sonified EEG data. University of York (UK) | Interactive Audio Systems Symposium (September 2016)
• Abdalsalam E, Yusoff MZ, Kamel N, Malik AS, Mahmoud D. Classification of Four Class Motor Imagery for Brain Computer Interface. 9th International Conference on Robotic, Vision, Signal Processing and Power Applications Vol. 398 Notes in Electrical Engineering pp 297-305 (September 2016)
• Abdalsalam E, Yusoff MZ, Mahmoud D, Malik A. Classification of Thoughts into Wheelchair Control Commands using Neural Network. International Journal of Sciences: Basic and Applied Research (IJSBAR) Vol 29, No 3 (2016) (ISSN 2307-4531) (September 2016)
• Barthet M, Fazekas G, Allik A, Thalmann F, Sandler MB. From Interactive to Adaptive Mood-Based Music Listening Experiences in Social or Personal Contexts. AES E-Library doi: dx.doi.org/10.17743/jaes.2016.0042 (September 2016)
• Ahonen L, Cowley B. A short review and primer on electroencephalography in human computer interaction applications. arXiv. (September 2016)
• F. Škola. An Investigation of the Rubber Hand Illusion for Virtual and Augmented Reality. Masaryk University | Faculty of Informatics. (Fall 2016).
• Lavanya TH, Jyothi KS. EEG Based Classification of Hand Movements using BCI. IJCSN International Journal of Computer Science and Network, Volume 5, Issue 4 (August 2016)
• Rodríguez-Ugarte M, Hortal E, Costa Á, Iáñez E, Úbeda A, Azorín JM. Detection of intention of pedaling start cycle through EEG signals. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the doi:10.1109/EMBC.2016.7590993 (August 2016)
• Villegas-Cortez J, Avilés-Cruz C, Cirilo-Cruz J, Zuñiga-López A. EEG Signal Implementation of Movement Intention for the Teleoperation of the Mobile Differential Robot. Springer | InNEO 2015 2017 (pp. 333-355). (August 2016)
• Huotilainen M, Cowley B, Ahonen L. A short review and primer on event-related potentials in human computer interaction applications. Cornell University Library | Computer Science: Human-Computer Interaction. (August 2016)
• Barra S, Casanova A, Fraschini M, Nappi M. Fusion of physiological measures for multimodal biometric systems. Springer | Multimedia Tools and Applications. doi: 10.1007/s11042-016-3796-1 (August 2016)
• A. Vasquez, A. Malavera, D. Doruk, L. Morales-Quezada S. Carvalho, J. Leite, F. Fregni. Duration Dependent Effects of Transcranial Pulsed Current Stimulation (tPCS) Indexed by Electroencephalography. Neuromodulation: Technology at the Neural Interface. (July 2016).
• AboSreea SM. Design and Implementation of Electroencephalogram System. El-Gezeera Academy – Electronics and Communications Department. (July 2016).
• V. Bono, S. Das, W. Jamal, K. Maharatna. Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG. Journal of Neuroscience Methods. doi:10.1016/j.jneumeth.2016.04.006 (July 2016).
• A. Casson. Next generation human body sensing. The University of Manchester. (June 2016).
• F. Škola, and F. Liarokapis. Examining the effect of body ownership in immersive virtual and augmented reality environments. Springer | The Visual Computer pp 1-10. doi:10.1007/s00371-016-1246-8 (May 2016).
• W.H. Khalifa , M.I. Roushdy, A.-B. M. Salem. Machine Learning Techniques for Intelligent Access Control. Springer | Intelligent Systems Reference Library. doi:10.1007/978-3-319-32192-9_10 (May 2016).
• W. Mumtaz, P.L. Vuong, L. Xia, A.S. Malik, R.B.A. Rashid. Automatic Diagnosis of Alcohol Use Disorder using EEG Features. Elsevier | Knowledge-Based Systems. doi:10.1016/j.knosys.2016.04.026 (April 2016).
• J. Frey. VIF: Virtual Interactive Fiction (with a twist). HAL - Inria (April 2016).
• V. Bono, D. Biswas, S. Das, K. Maharatna. Classifying Human Emotional States using Wireless EEG based ERP and Functional Connectivity Measures. ePrints Soton - University of Southampton (March 2016).
• Won-Du Chang, Jeong-Hwan Lim and Chang-Hwan Im An unsupervised eye blink artifact detection method for real-time electroencephalogram processing Physiological Measurement, Volume 37, Number 3 (Feb 2016).
• A. Vourvopoulos, S. Bermudez-i-Badia. Usability and Cost-effectiveness in Brain-Computer Interaction: Is it User Throughput or Technology Related?. Proceedings of the 7th Augmented Human International Conference 2016. doi:10.1145/2875194.2875244 (February 2016).
• D. Biswas, V. Bono, M. Scott-South, S. Chatterjee, A. Soska, S. Snow, C. Noakes, J.F. Barlow, K. Maharatna. M.C. Schraefel. Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors. ePrints Soton - University of Southampton (February 2016).
• S. Mealla, S. Jordà, A. Väljamäe. Physiopucks: increasing user motivation by combining tangible and implicit physiological interaction. ACM Transactions on Computer-Human Interaction. (January 2016).
• R.A. Fabio, L. Billeci, G. Crifaci, E. Troise, G. Tortorella, G. Pioggia. Cognitive training modifies frequency EEG bands and neuropsychological measures in Rett syndrome. Elsevier | Research in Developmental Disabilities. doi:10.1016/j.ridd.2016.01.009 (January 2016).

• I. Abidi, O. Farooq, M.M.S Beg. Sweet and Sour Taste Classification Using EEG Based Brain Computer Interface. 2015 Annual IEEE India Conference (December 2015).
• D. Iacoviello, N. Pagnani, A. Petracca, M. Spezialetti, G. Placidi. A Poll Oriented Classifier for Affective Brain Computer Interfaces. NEUROTECHNIX 2015 - International Congress on Neurotechnology, Electronics and Informatics (November 2015).
• D. Iacoviello, A. Petracca, M. Spezialetti, G. Placidi. A Classification Algorithm for Electroencephalography Signals by Self-Induced Emotional Stimuli. IEEE Transactions on Cybernetics (November 2015).
• G. Placidi , A. Petracca, M. Spezialetti, D. Iacoviello. A Modular Framework for EEG Web Based Binary Brain Computer Interfaces to Recover Communication Abilities in Impaired People. Patient Facing Systems | Journal of Medical Systems (November 2015).
• C. Camara , P. Peris-Lopez, J. E. Tapiador, G. Suarez-Tangil Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals. Journal of Medical and Biological Engineering (November 2015).
• W.-D. Chang, H.-S. Cha, K. Kim, C.-H. Im. Detection of eye blink artifacts from single prefrontal channel electroencephalogram. Elsevier | Computer Methods and Programs in Biomedicine. (October 2015).
• F. Pistoia, A. Carolei, D. Iacoviello, A. Petracca, S. Sacco, M. Sarà, M. Spezialetti, G. Placidi, EEG-detected olfactory imagery to reveal covert consciousness in minimally conscious state. Brain Injury, (October 2015).
• G. Placidi, A. Petracca, M. Spezialetti, D. Iacoviello. Classification strategies for a single-trial binary Brain Computer Interface based on remembering unpleasant odors. IEEE EMBS, 37th Annual International Conference (August 2015).
• Virkkala, J., M. Leminen, E. Saure, M. Huotilainen, and T. Paunio. Online wireless sleep analysis and auditory sleep stimulation. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milano, Italy. (August 2015)
• Collado-Mateo, Daniel, Adsuar, Jose C., Olivares, Pedro R., Cano-Plasencia, Ricardo and Gusi, Narcis. Using a dry electrode EEG device during balance tasks in healthy young-adult males: Test–retest reliability analysis. Somatosensory & Motor Research, pages 1-8 (September 2015).
• D. Iacoviello, A. Petracca, M. Spezialetti, G. Placidi. A real-time classification algorithm for EEG-based BCI driven by self-induced emotions. Computer Methods and Programs in Biomedicine, Elsevier, (August 2015).
• M. Huotilainen, M. Gröhn, I. Yli-Kyyny, J. Virkkala, T. Paunio. Sleep Enhancement by Sound Stimulation. 21st International Conference on Auditory Display (ICAD2015)', Graz, Styria, Austria (July 2015).
• Pinki Kumari, Abhishek Vais. Brainwave based user identification system: A pilot study in robotics environment. Robotics and Autonomous Systems, Volume 65, Pages 15–23 (March 2015).
• Giuseppe Placidi, Danilo Avola, Andrea Petracca, Fiorella Sgallari, Matteo Spezialetti. Basis for the implementation of an EEG-based single-trial binary brain computer interface through the disgust produced by remembering unpleasant odors. Neurocomputing 160 (February 2015) 308–318.

• A. Kaklauskas, A. Kuzminske, E.K. Zavadskas, A. Daniunas, G. Kaklauskas, M. Seniut, J. Raistenskis, A. Safonov, R. Kliukas, A. Juozapaitis, A. Radzeviciene, R. Cerkauskiene. Affective Tutoring System for Built Environment Management. Elsevier | Computers & Education. doi:10.1016/j.compedu.2014.11.016 (December 2014).
• Michelle Fernandes et al. The INTERGROWTH-21st Project Neurodevelopment Package: A Novel Method for the Multi-Dimensional Assessment of Neurodevelopment in Pre-School Age Children . Plos One (Nov. 2014).
• Benjamin Cowley and Niklas Ravaja. Learning in balance: Using oscillatory EEG biomarkers of attention, motivation and vigilance to interpret game-based learning. Cogent Education Vol. 1, Iss. 1 (September 2014).
• Mihajlovic, V.; Grundlehner, B.; Vullers, R.; Penders, J., Wearable, Wireless EEG Solutions in Daily Life Applications: What are we missing?. Biomedical and Health Informatics, IEEE Journal of , vol.PP, no.99, pp.1,1 (June 2014).
• Ossmann, Roland, Stefan Parker, David Thaller, Karol Pecyna, Alvaro García‐Soler, Blanca Morales, Christoph Weiß, Christoph Veigl, and Konstantinos Kakousis. AsTeRICS, a flexible AT construction set. International Journal of Adaptive Control and Signal Processing (June 2014).
• Velásquez, Esteban, Alejandro Cardona, and Alejandro Peña. Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma. Iberian Journal of Information Systems and Technologies 13 : 65-81 (June 2014).
• Bono, V., Jamal, W., Das, S. and Maharatna, K. Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on , vol., no., pp.5864,5868, 4-9 (May 2014).
• Awais, M. Badruddin, N. Drieberg, M., A simulator based study to evaluate driver drowsiness using electroencephalogram. Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on. pp.1,5, 3-5 (June 2014)
• Sabarigiri, B., and D. Suganyadevi. Multi-Channel Electroencephalogram (EEG) Signal Acquisition and its Effective Channel selection with De-noising Using AWICA for Biometric System. International Journal of Engineering & Technology (0975-4024) 6.2 (May 2014).
• Lightbody, G., L. Galway, and P. McCullagh. The brain computer interface: Barriers to becoming pervasive. Pervasive Health. Springer London, 101-129 (April 2014).
• Awais, Muhammad; Badruddin, Nasreen; Drieberg, Micheal. Driver drowsiness detection using EEG power spectrum analysis. Region 10 Symposium, 2014 IEEE, pp.244,247, 14-16 (April 2014)
• S. Abbate, M. Avvenuti, J. Light. Usability study of a wireless monitoring system among Alzheimer's Disease elderly population. International Journal of Telemedicine and Applications (February 2014).
• A. Gaggioli, P. Cipresso, S. Serino, G. Pioggia, G. Tartarisco, G. Baldus, D. Corda, M. Ferro, N. Carbonaro, A. Tognetti, D.D. Rossi, D. Giakoumis, D. Tzovaras, A. Riera, G. Riva. A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure. Studies in health technology and informatics, 196: 114. doi: 10.3233/978-1-61499-375-9-114 (January 2014).
• C Kranczioch, C Zich, I Schierholz, A Sterr. Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation. International Journal of Psychophysiology, Volume 91, Issue 1, pp: 10–15 (January 2014).

• J. Light, K. T, Xiaoyi Li, A.R. Malali. Fall Pattern Classification from Brain Signals using Machine Learning Models. Journal of Selected Areas in Telecommunications (JSAT), Volume 3, Issue 12 (December 2013).
• B. Morales, U. Diaz-Orueta, Á. García-Soler, K. Pecyna, R. Ossmann, G. Nussbaum, C. Veigl, C. Weiss, J. Acedo, A. Soria-Frisch. AsTeRICS: a new flexible solution for people with motor disabilities in upper limbs and its implication for rehabilitation procedures. Disabil Rehabil Assist Technol.. 8(6):482-95. doi: 10.3109/17483107.2012.754956 (November 2013).
• D. Ibáñez, L. Dubreuil-Vall, O. Ripolles, A. Riera. BrainSurfer: A Novel Neurofeedback Tool for ADHD Training . Proceedings of Amrita Bioquest 2013 Conference, Vallikavu (India), (August 2013).
• A.J. Karran, S.H. Fairclough, K. Gilleade. Interest as a knowledge emotion: Psychophysiological Classification in the Context of Cultural Heritage (June 2013).
• Balanou, Evangelia, Mark van Gils, and Toni Vanhala. State-of-the-Art of Wearable EEG for Personalized Health Applications. PHealth 2013: Proceedings of the 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health. Vol. 189. IOS Press.(June 2013).
• C. Veigl, C. Weis, K. Kakousis, D. Ibanez, A. Soria-Frisch, A. Carbone. Model-based design of novel human-computer interfaces — The Assistive Technology Rapid Integration & Construction Set (AsTeRICS). Proceedings of ISSNIP Biosignals and Biorobotics Conference (BRC), pp: 1-7. doi: 10.1109/BRC.2013.6487539 (February 2013).
• D. Ibanez, A. Soria-Frisch. Comparison of Asynchronous SSVEP-based BCI detection approaches for Assistive Technologies. Proceedings of TOBI workshop IV, Sion, Switzerland, (January 2013).

• Y. Ishikawa, M. Takata, K. Joe. Constitution and phase analysis of alpha waves. Proceedings of Biomedical Engineering International Conference (BMEiCON), pp: 1-5. doi: 10.1109/BMEiCon.2012.6465482 (December 2012).
• Alejandro Riera Computational Intelligence Techniques for Electro-Physiological Data Analysis. PhD thesis. (November 2012).
• B. Cowley, K. Juurmaa, M. Repo. CENT Computer Enabled Neuroplasticity Treatment. ISNR International Society for Neurofeedback & Research 20th Annual Conference, Orlando, Florida, United States. Vol. 19. (2012).
• S. Abbate, M. Avvenuti, J. Light. MIMS: A Minimally Invasive Monitoring Sensor Platform. Sensors Journal, IEEE. pp: 677-684. doi: 10.1109/JSEN.2011.2149515 (March 2012).
• T. Kathikeyan, B. Sabarigiri. Countermeasures against IRIS spoofing and liveness detection using Electroencephalogram (EEG). International Conference on Computing, Communication and Applications (ICCCA), pp: 1-5 (February 2012).
• Stephen Barrass. Sonifications for concert and live performance. AI & SOCIETY, Volume 27, Issue 2, pp: 281-283 (May 2012).
• A. Riera, S. Dunne, I. Cester, G. Ruffini. Electrophysiological Biometrics: Opportunities and Risks. Second Generation Biometrics: The Ethical, Legal and Social Context. The International Library of Ethics, Law and Technology Volume 11, pp 149-176 (January 2012).
• García-Soler, Alvaro, et al. Addressing accessibility challenges of people with motor disabilities by means of AsTeRICS: a step by step definition of technical requirements. Springer Berlin Heidelberg. (2012).

• E. M. Peck, E. T. Solovey. The Sensorium: Research teams from around the world reflect on their brain sensing setups. XRDS: Crossroads, The ACM Magazine for Students - Neuroscience and Computing: Technology on the Brain, Volume 18, Issue 1, pp: 14-17. doi: 10.1145/2000775.2000783 (Fall 2011).
• K. Kaszuba, B. Kostek. A bimodal approach to brain-computer interaction measurements. Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), pp: 1-6 (September 2011).
• Mealla, S., Väljamäe, A., Bosi, M., & Jordà, S. (2011). Sonification of Brain and Body Signals in Collaborative Tasks Using a Tabletop Musical Interface. Proceedings of 17th International Conference on Auditory Display (ICAD) (pp. 1-5).
• J. Light, X. Li, S. Abbate. Developing cognitive decline baseline for normal ageing from sleep-EEG monitoring using wireless neurosensor devices. Proceedings of 24th Canadian Conference on Electrical and Computer Engineering (CCECE) pp. 001527-001531, doi: 10.1109/CCECE.2011.6030721 (May 2011).
• C. Grozea, C. D. Voinescu, S. Fazli. Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications. Journal of neural engineering 8.2: 025008 (2011).
• Y. Ishikawa, S. Teramae, N. Yoshii, M. Takata, K Joe. A Real-time Analysis Environment for a Wireless BMI Device Enobio. The 2011 International Conference on Parallel and Distributed Processing Techniques and Applications, Vol.2, pp: 739-744 (2011).
• Mealla, S., Bosi, M., Väljamäe, A., & Jordà, S. (2011). Let Me Listen to Your Brain : Physiology-based Interaction in Collaborative Music Composition. CHI (pp. 1-4).
• Mealla, S. (2011). Listening to Your Brain: Implicit Interaction in Collaborative Music Performances. Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 149-154). ACM.
• Ishikawa, Yu, et al. A Real-time Analysis Environment for a Wireless BMI Device Enobio. (2011).
• Peck, Evan, and Erin Treacy Solovey. The sensorium. ACM Crossroads 18.1 : 14-17. (2011).
• Vadivelu, S. Skillful Limbs-A Brain Controlled Artificial Limb-A Tribute to the Society. Digital Signal Processing 3.10 : 493-496. (2011).

• Soria-Frisch, A., Riera, A., & Dunne, S. Fusion operators for multi-modal biometric authentication based on physiological signals. In Fuzzy Systems (FUZZ), 2010 IEEE International Conference on (pp. 1-7), DOI:10.1109/FUZZY.2010.5584121, IEEE (2010, July).
• Zhang, Biao, Jianjun Wang, and Thomas Fuhlbrigge. A review of the commercial brain-computer interface technology from perspective of industrial robotics. 2010 IEEE International Conference on Automation and Logistics (ICAL), pp: 379 - 384, doi: 10.1109/ICAL.2010.5585311 (2010).
• K. Katarzyna, K. Krzysztof, O. Piotr, K. Bożena. Biofeedback-Based Brain Hemispheric Synchronizing Employing Man-Machine Interface. Internaitonal Journal of Artificial Intelligence Tools, Intelligent Decision Technologies, Volume 6, pp 59-68 (2010).
• Duguleana, Mihai, and Gheorghe Mogan. Using eye blinking for eog-based robot control. Emerging Trends in Technological Innovation. Springer Berlin Heidelberg, 343-350 (2010)

• S. Le Groux, P. F. M. J. Verschure. Neuromuse: Training your brain through musical interaction. Proceedings of the International Conference on Auditory Display, Copenhagen, Denmark (May 2009).
• A. Riera, A. Soria-Frisch, M. Caparrini, I. Cester, G. Ruffini. Multimodal Physiological Biometrics Authentication, in Biometrics: Theory, Methods, and Applications (eds N. V. Boulgouris, K. N. Plataniotis and E. Micheli-Tzanakou), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470522356.ch18 (2009).

• R. Ibarra-Orozco, M. Gonzalez-Mendoza, N. Hernandez-Gress, F. Diederichs, J. Kortelainen. Towards a Ready-to-Use Drivers' Vigilance Monitoring System. Proceedings of International Conference on Computational Intelligence for Modelling Control & Automation, pp: 802-807. doi: 10.1109/CIMCA.2008.161 (December 2008).
• G. Ruffini, S. Dunne, L. Fuentemilla, C. Grau, E. Farrés, J. Marco-Pallarés, P.C.P. Watts, S.R.P. Silva. First human trials of a dry electrophysiology sensor using a carbon nanotube array interface. Sensors and Actuators A: Physical, 144.2, pp: 275-279. doi: 10.1016/j.sna.2008.03.007 (June 2008).
• A. Riera, S. Dunne, I. Cester, G. Ruffini. STARFAST: a Wireless Wearable EEG/ECG Biometric System based on the ENOBIO Sensor. Proceedings of 5th International Workshop on Wearable Micro and Nanosystems for Personlized Health (May 2008).
• I. Cester, S. Dunne, A. Riera, G. Ruffini. ENOBIO: Wearable, Wireless, 4-channel electrophysiology recording system optimized for dry electrodes. Phealth, International Workshop on Wearable Micro and Nanosystems for Personalised Health (May 2008).
• Riera, A., Soria-Frisch, A., Caparrini, M., Grau, C., & Ruffini, G. (2008). Unobtrusive Biometric System Based on Electroencephalogram Analysis. EURASIP Journal on Advances in Signal Processing.

• G. Ruffini , S. Dunne , E. Farres , I. Cester , P. Watts , S. Ravi , P. Silva , C. Grau , L. Fuentemilla , J. Marco-Pallares and B. Vandecasteele ENOBIO dry electrophysiology electrode; first human trial plus wireless electrode system. Proc. 29th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., pp.6689 -6693 (August 2007).

• G.Ruffini, S. Dunne, E. Farrés, J. Marco-Pallarés, C. Ray, E.Mendoza, R.Silva, C.Grau. A dry electrophysiology electrode using CNT arrays. Proceedings of the 19th European Conference on Solid-State Transducers. Volume 132, Issue 1, 8 November 2006, Pages 34–41 (November 2006).
• G. Ruffini, S. Dunne, E. Farres, P.C.P. Watts, E. Mendoza; S.R.P. Silva, C. Grau, J. Marco-Pallares, L. Fuentemilla, B. Vandecasteele. ENOBIO - First Tests of a Dry Electrophysiology Electrode using Carbon Nanotubes. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp: 1826 - 1829. doi: 10.1109/IEMBS.2006.259248 (September 2006).