Title: Design and implementation of secured bidirectional remote monitoring system for analysis of online live EEG feed

Authors: Shweta Singh; Dipali Bansal

Addresses: Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Manav Rachna International University, Faridabad, Haryana, India ' Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Manav Rachna International University, Faridabad, Haryana, India

Abstract: In this paper, a wireless network-based secured bidirectional remote monitoring system for analysis of online live EEG feed has been proposed. The technique makes use of a custom developed application programming interface plug-in to acquire live EEG feed directly in MATLAB on a host machine so as to build an On-Premise set-up for acquisition and processing of EEG data in real time. The online acquired EEG signals are then transmitted in real time over internet using secured virtual private network. Same EEG data can be viewed by multiple users simultaneously on smart devices connected from different geographical locations and over disparate network connectivity. The set-up includes a host computer with MATLAB, a commercially available Emotiv EEG neuro-headset, an android smart device and an iOS smart device. The future aim is to replicate set-up on public cloud SaaS offering and also move towards sophisticated user interfaces for handset applications.

Keywords: online security; bidirectional remote monitoring; wireless networks; API plug-in; m-health; mobile healthcare; smart devices; Emotiv; MATLAB; live EEG feeds; EEG signals; electroencephalograms.

DOI: 10.1504/IJBET.2016.078343

International Journal of Biomedical Engineering and Technology, 2016 Vol.21 No.4, pp.393 - 406

Received: 07 Sep 2015
Accepted: 02 Dec 2015
Published online: 15 Aug 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article