Real-time wireless healthcare system for angular transmission of EEG signal using VL-OCC

Geetika Aggarwal, Xuewu Dai, Richard Binns, Reza Saatchi

Research output: Contribution to journalConference articlepeer-review


Examining the brain activity has immense scope in diagnosing specific diseases such as epilepsy and comma. The electrical activity of the brain read from the scalp is known as Electroencephalography (EEG). The traditional EEG systems deploy RF protocols suffering from electromagnetic interference (EMI) which might have harmful effect on health of patient especially in RF restricted zones such as hospitals, hence VLC is preferred due to free from EMI, reliability and enhanced security. Also, the advancement in technology in smartphones and cameras have led to the use of camera or smartphone as receiver in VLC systems rather than using photodiode as receiver unlike traditional VLC systems. Hence, this paper proposes a new novel technique and the system reliability for angular transmission of biomedical EEG data VL-OCC system at data rate of 2kbpswith 30 fps camera frame rate deploying modulation namely, On-Off Keying Non- Return to Zero (OOK_NRZ).

Original languageEnglish
Pages (from-to)28-35
Number of pages8
JournalProcedia Computer Science
Publication statusPublished - 2019
Externally publishedYes
Event1st International Conference on Pervasive Computing Advances and Applications, PerCAA 2019 - Jaipur, India
Duration: 8 Jan 201910 Jan 2019

Bibliographical note

Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd.


Dive into the research topics of 'Real-time wireless healthcare system for angular transmission of EEG signal using VL-OCC'. Together they form a unique fingerprint.

Cite this