Title: Design and development of BCI for online acquisition, monitoring and digital processing of EEG waveforms

Authors: Shweta Singh; Dipali Bansal

Addresses: Department of EEE, FET, Manav Rachna International University, Faridabad, Haryana, India ' Department of EEE, FET, Manav Rachna International University, Faridabad, Haryana, India

Abstract: Commercially available EEG acquisition units provide ability to acquire and view EEG signals in real time using their proprietary user interface software. Analysis of such EEG data is limited to the capabilities provided within these acquisition units, thereby making it necessary to process data in multi-paradigm computing environment. Offline uploading of the data into standard tools for further analysis may cause loss of information. This paper gives details of a simple and robust mechanism for online acquisition and real time processing of EEG signals in MATLAB without any loss of information, using custom developed API. Resulting wave decomposition into discrete samples and channels also reduce complexity in processing data. The designed system, using portable wireless Emotiv EEG neuroheadset, can easily be adopted for web-based remote monitoring of live EEG for applications in the field of mobile health. Moreover, developed BCI can be miniaturised and designed as SoC (System on Chip).

Keywords: brain-computer interface; BCI; online acquisition; web-based remote monitoring; digital processing; electroencephalography; EEG waveforms; Emotiv unit; API; MATLAB; cognitive assessment; brain rhythms; signal processing; EEG signals; mobile healthcare; m-health; e-health; electronic healthcare; SoC; system on chip.

DOI: 10.1504/IJBET.2014.066227

International Journal of Biomedical Engineering and Technology, 2014 Vol.16 No.4, pp.359 - 373

Received: 17 Jul 2014
Accepted: 07 Sep 2014
Published online: 25 Apr 2015 *

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