, or loss of data and it is a huge improvement from the initial data acquisition code provided by OpenViBe. Though, it is customized for use along with the Emotiv EPOC, it can be used with other BCI devices as well. In future, this system can be used as a base to develop low cost neuro-rehabilitation device for stroke patients on an industrial scale

I. X. References,

P. , .). (Vivaltis) Retrieved from Vivaltis

D. N. Rushton, Functional electrical stimulation, Physiological Measurement, vol.18, issue.4, pp.24-275, 1997.

D. , Retrieved from INRIA

, University of Montpellier 2

L. ,

C. Neurol, Cost of stroke in France, pp.1094-100, 2013.

P. Dalal, UN millennium development goals: Can we halt the stroke epidemic in India?, Annals of Indian Academy of Neurology, vol.19, issue.3, pp.130-136, 2007.

A. and D. , Neurologic disability: a hidden epidemic for India, vol.11, pp.2146-2153, 2012.

P. , S. M. , and .. , A fully immersive set-up for remote interaction and neurorehabilitation based on virtual body ownership, Frontiers in Neurology, vol.3, pp.149-153, 2012.

M. and T. , Hans Berger (1873-1941)-the history of electroencephalography, Europe PubMed Central, pp.307-313, 2005.

R. Sitaram and A. C. , FMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment, 2007.

G. Schalk, D. Mcfarland, T. Hinterberger, N. Birbaumer, and J. Wolpaw, BCI2000: A General-Purpose Brain-Computer Interface (BCI) System, IEEE, vol.51, pp.1034-1077, 2004.

K. Ozols, M. Greitans, and R. Shavelis, EEG data acquisition system based on asynchronous sigma-delta modulator, 13th Biennial Baltic Electronics Conference (BEC), vol.186, pp.3-5, 2012.

J. Freudiger and D. T. , Brain states analysis for direct brain-computer communication, 2003.

N. Birbaumer, Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control, Psychophysiology, vol.43, issue.6, pp.517-532, 2006.

G. S. Eric-c-leuthardt, A brain-computer interface using electrocorticographic signals in humans, JOURNAL OF NEURAL ENGINEERING, pp.63-71, 2004.

C. Wang, K. S. Phua, K. K. Ang, C. Guan, H. Zhang et al., A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for Stroke patients, 4th International FrC1.4 IEEE EMBS Conference on Neural Engineering, pp.271-275, 2009.

E. Niedermeyer and L. D. , Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, 2004.

S. J. Cox and . Electroencephalography, Computational and Applied Mathematics

T. A. Fatehi and A. B. Suleiman, Features Extraction Techniques of EEG Signals For BCI Application. International Arab Conference for Information Technology

B. R. Chunchu-rambabu, EEG Signal with Feature Extraction using SVM and ICA Classifiers, International Journal of Computer Applications, vol.85, issue.3, 2014.

R. Pratap-chand and M. S. , Cognitive evoked potential (P300): a metric for cerebral concussion, Acta Neurologica Scandinavica, vol.78, issue.3, pp.185-194, 2009.

G. Jacobs, SSVEP-based BCI control for navigating a robot, 2013.

L. Fernando, N. , and .. , Brain Computer Interfaces, a Review. Sensors, pp.1211-79, 2012.

T. Hinterberger and S. S. , Brain-computer communication and slow cortical potentials, pp.1011-1019, 2004.
DOI : 10.1109/tbme.2004.827067

N. Birbaumer and E. T. , Slow potentials of the cerebral cortex and behavior, pp.1-41, 1990.

A. A. Pfurtschellera, Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement, Electroencephalography and Clinical Neurophysiology, vol.46, issue.2, pp.138-184, 1979.

I. Arafat and . Brain, , p.academia

A. Honda and S. Jointly, Develop Brain-Machine Interface Technology Enabling Control of a Robot by Human Thought Alone, pp.3-09, 2009.

J. S. Vijay-khare, Brain Computer Interface Based Real Time Control of Wheelchair Using Electroencephalogram, International Journal of Soft Computing and Engineering (IJSCE), vol.1, issue.5, pp.2231-2307, 2011.

, What Are The Features Of The EPOC? (n.d.)

, Emotiv Support. (n.d.). Retrieved from Emotiv

, Discover OpenViBE. (n.d.). Retrieved from Openvibe

A. L. Renard, OpenViBE: Open-Source Software for Brain-Computer Interfaces

, Tutorial : The most basic OpenViBE setup, pp.6-28, 2012.

. Ibonnet, 08 30), Acquisition Server, 2011.

, Data Acquisition. (n.d.). Retrieved from NI

. Bandpower, Retrieved from Mathworks

G. Pfurtscheller and C. Neuper, Motor imagery and direct brain-computer communication, Proceedings of the IEEE, vol.89, pp.1123-1157, 2001.

M. Jeannerod, Mental imagery in the motor context. The Neuropsychology of Mental Imagery, vol.33, pp.1419-1451, 1995.
URL : https://hal.archives-ouvertes.fr/hal-00655242

, Retrieved from Psyhtoolbox Wiki

M. Toussaint, D. Andreuy, P. Fraisse, and D. Guiraudy, Wireless Distributed Architecture for Therapeutic Functional Electrical Stimulation: a technology to design network-based muscle control, Annual International Conference of the IEEE, pp.6218-6239, 2010.
URL : https://hal.archives-ouvertes.fr/lirmm-00506293

, Retrieved from Vivaltis