Design of an EEG Acquisition System for Embedded Edge Computing

Volume 5, Issue 4, Page No 119-129, 2020

Author’s Name: Kanishk Rai^1,a), Keshav Kumar Thakur¹, Preethi K Mane¹, Narayan Panigrahi²

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¹Department of Electronics and Instrumentation, BMS College of Engineering, 560019, India
²Centre for Artificial Intelligence and Robotics, DRDO, 560093, India

^a)Author to whom correspondence should be addressed. E-mail: kr2252@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 5(4), 119-129 (2020); DOI: 10.25046/aj050416

Keywords: Electroencephalogram (EEG), Internet of Things (IOT), Brain Computer Interface (BCI), Acquisition system, Edge Computing

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Abstract

The human brain is one of the most complex machines on the planet. Being the only method to get real-time data with high temporal resolution from the brain makes EEG a highly sought upon signal in the neurological and psychiatric domain. However, recent developments in this field have made EEG more than just a tool for medical professionals. The decreasing size and increasing complexity of EEG acquisition systems have brought it out of the lab and into the field where it is used for varied applications like neurofeedback, person recognition and other recreational activities. Amalgamation of the EEG signal with new developing standards of Industry 4.0 to control basic IOT devices using edge computing techniques marks the next step in the design and development our low-cost yet robust Brain Computer Interface (BCI); which is just one of the many applications that a versatile and well-built EEG acquisition system can be used for.

Received: 17 April 2020, Accepted: 17 June 2020, Published Online: 12 July 2020

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Design of an EEG Acquisition System for Embedded Edge Computing