Papers using Enobio

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

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)
• Sharma K, Jain N, Pal PK. Telemanipulation of a Robotic Arm using EEG Artifacts. ResearchGate (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)
• 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)
• 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)
• 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)

2016

• 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).

2015

• 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).
• 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.

2014

• 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).

2013

• 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).

2012

• 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).

2011

• 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).

2010

• 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)

2009

• 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).

2008

• 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.

2007

• 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).

2006

• 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).