Electronics
& Communication Technologies
- EEG Based Communication Device
Introduction
In order to achieve clinically desirable effectiveness
of related computerized systems, a harmonic and comprehensive
integration of corresponding medical and computer and
knowledge has to be performed. Very little attention
is being given to the above combination of knowledge
towards the severely handicapped persons who have lost
the ability to control their muscle activity. The only
way of communication for them is to develop a communication
system based on the analysis of the EEG activity. Once
the computer is programmed to recognize a subjects actions,
it can be used as an effective communication aid for
the handicapped. The possibility of a subject interaction
system implemented in a personal computer with a digital
signal processing board will be explored. Spatio-temporal
multi channel patters will be collected from a subject
through the international 10-20 systems of electrode
placement for measuring the eeg. This analog signals
are digitized and forwarded to a neural networking set
up for their use in instantaneous classification and
pattern recognition. This classification result can
be used to control any applications like activating
a functional electrical stimulation device, movement
of cursor for menu selection, selection of letters etc.
A potential benefit of EEG based systems is that people
who are severely disabled or have little or no reliable
motor function could use it.
Salient features:
Single user interface control. Design and fabrication
of H/w. Development of S/w. Feedback mechanism for improvement.
Focus on rehabilitation.
Prospective Users: Severely
handicapped persons/spastic children
Keywords: EEG - electroencephalogram,
ANN - artificial neural network, BCI - Brain computer
interface, Communication Device
Type of Technology: Hardware,
Software
Glossary: EEG - electroencephalogram
(brain signals associated with all/any kind of process];
ANN - artificial neural network (a system which test
emulates a biological network); ERS/ERD - Event Related
Synchronization/Desynchronization
Developed by : Dr. Santosh
Jayashree Department: Computer Service
Center
Contact:
Managing Director
Foundation for Innovation and Technology Transfer (FITT)
Indian Institute of Technology, Delhi
Hauz Khas, New Delhi-110016, INDIA
Tel : 91-011-26597167, 26857762, 26581013, 26597153
Fax : 91-011-26851169
E-mail : drkdpn@gmail.com
