Collection of publications of independent research studies and mentions about Enobio

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

• Rajendran, V. G., Jayalalitha, S., Adalarasu, K., & Usha, G. (2022). Analysis and Classification of Stress Among Students Using EEG as Biomarker. ECS Transactions, 107(1), 1857.

• Aloui, N., Planat-Chrétien, A., & Bonnet, S. (2021, November). 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). [ https://www.sciencedirect.com/science/article/abs/pii/S1746809421006698 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)
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