Collection of publications of independent research studies and mentions about Enobio

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

• Muñoz, D., Barria, P., Cifuentes, C. A., Aguilar, R., Baleta, K., Azorín, J. M., & Múnera, M. (2022). EEG Evaluation in a Neuropsychological Intervention Program Based on Virtual Reality in Adults with Parkinson’s Disease. Biosensors, 12(9), 751.
• Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-García, J. M. (2022). Brain Symmetry in Alpha Band When Watching Cuts in Movies. Symmetry, 14(10), 1980.
• Hsieh, M. C., Zhang, Y. Q., Dong, R., Lee, Y. C., & Ni, C. Y. (2022). Use of EEG signals, cortisol secretion, and task performance to evaluate the effects of different lighting environments on concentration level in a sustained attention task. International Journal of Industrial Ergonomics, 92, 103371.
• Aygun, A., Nguyen, T., Haga, Z., Aeron, S., & Scheutz, M. (2022). Investigating Methods for Cognitive Workload Estimation for Assistive Robots. Sensors, 22(18), 6834.
• Serrano, J. A. G., Suárez, S. L. C., Poveda, D. C. C., & Rizo, A. (2022). Modulación de respuestas emocionales a través de la escucha de música en personas mayores. Encuentro Internacional de Educación en Ingeniería.
• Fuentes-García, J. P., Leon-Llamas, J. L., Gusi, N., & Villafaina, S. (2022). Are there neurophysiological differences behind the play of different chess modalities?: An international grandmaster case study. Physiology & Behavior, 113918.
• Taori, T. J., Gupta, S. S., Gajre, S. S., & Manthalkar, R. R. (2022). Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM. Biomedical Signal Processing and Control, 78, 104010.
• Villafaina, S., Leon-Llamas, J. L., Murillo-Garcia, A., & Gusi, N. (2022). Impact of being physically active on the brain electrocortical activity, brain volumetry and performance in the Stroop color and word test in women with fibromyalgia. Scientific Reports, 12(1), 1-14.
• Agarwal, R., & Andujar, M. (2022). Neuro-Voting: An Accuracy Evaluation of a P300-Based Brain-Computer Interface for Casting Votes. In nternational Conference on Human-Computer Interaction (pp. 409-419). Springer, Cham.
• Zero, E., Bersani, C., & Sacile, R. (2022, June). Binary Controller Based on the Electrical Activity Related to Head Yaw Rotation. In Actuators (Vol. 11, No. 6, p. 161). MDPI.
• 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).
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