Asynchronous EEG/ERP Acquisition for EEG Teleservices

The aging issue threatens to collapse health public systems in some regions of first world. Although telemedicine is one of the solutions to avoid people insti-tutionalization, it has severe limitations and not all medical services can be of-fered. While few years ago the electrical complexity and cost of EEG systems prevented execution of clinical EEG tests out of hospital, now services such as home-based video-EEG are possible. Conversely, some important clinical tests such as event-related potentials cannot be executed remotely. The reason for that is the accurate synchrony between local stimulus onset and remote starting of EEG acquisition. In hospital, synchrony is guaranteed by means of a wired connection between stimulus display that triggers EEG recording while in home-based testing this link normally does not exist. In this study we show an effective way to execute event-related potentials based on asynchronous EEG data transmission. We executed a dichotic listening paradigm with forced-attention modality. The user goal was to detect the attended audio sentence from the analysis of evoked auditory event-related potentials. The rate of successful detection in both synchronous and asynchronous modalities was compared and results revealed no significant difference. Our asynchronous approach can be used in on-line acquisition of home-based event-related potentials with remote processing.

[1]  Yuguang Fang,et al.  A Privacy-Preserving Attribute-Based Authentication System for Mobile Health Networks , 2014, IEEE Transactions on Mobile Computing.

[2]  Jyh-Yeong Chang,et al.  Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors , 2012, Journal of NeuroEngineering and Rehabilitation.

[3]  Alberto Prieto,et al.  An auditory brain–computer interface evoked by natural speech , 2012, Journal of neural engineering.

[4]  S. Hillyard,et al.  Electrical Signs of Selective Attention in the Human Brain , 1973, Science.

[5]  Barbara G. Shinn-Cunningham,et al.  Selective and Divided Attention: Extracting Information from Simultaneous Sound Sources , 2004, ICAD.

[6]  Nelia Lasierra,et al.  Setting up a telemedicine service for remote real-time video-EEG consultation in La Rioja (Spain) , 2012, Int. J. Medical Informatics.

[7]  S. Gielen,et al.  The brain–computer interface cycle , 2009, Journal of neural engineering.

[8]  Daniel Sánchez Morillo,et al.  Dry EEG Electrodes , 2014, Sensors.

[9]  Marie Bruyneel,et al.  Real-time attended home-polysomnography with telematic data transmission , 2013, Int. J. Medical Informatics.

[10]  Kiseon Kim,et al.  Review of Wireless Brain-Computer Interface Systems , 2013 .

[11]  James J.P. Alix,et al.  The value of long term EEG monitoring in children: A comparison of ambulatory EEG and video telemetry , 2014, Seizure.

[12]  R. Matthews,et al.  Real time workload classification from an ambulatory wireless EEG system using hybrid EEG electrodes , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  F. Brunnhuber,et al.  Development, evaluation and implementation of video-EEG telemetry at home , 2014, Seizure.

[14]  M. A. Lopez-Gordo,et al.  A Binary phase-Shift Keying Receiver for the Detection of Attention to Human speech , 2013, Int. J. Neural Syst..

[15]  Michel J A M van Putten,et al.  Mobile EEG in epilepsy. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  James J.P. Alix,et al.  The value of home video with ambulatory EEG: A prospective service review , 2014, Seizure.

[17]  Marc M. Van Hulle,et al.  Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection , 2012, Int. J. Neural Syst..

[18]  W. T. Nelson,et al.  A speech corpus for multitalker communications research. , 2000, The Journal of the Acoustical Society of America.

[19]  Francisco J. Pelayo,et al.  An auditory Brain-Computer Interface with Accuracy Prediction , 2012, Int. J. Neural Syst..