Collection of publications of independent research studies and mentions about Enobio

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

• 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)
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