Designing Low Cost Yet Robust EEG Acquisition System

Autor: Narayan Panigrahi, Preethi K Mane, Keshav Kumar Thakur, Kanishk Rai
Rok vydání: 2019
Předmět:
Zdroj: iSES
DOI: 10.1109/ises47678.2019.00096
Popis: With the advent of VLSI technology; the ability to acquire, filter and analyze low power and highly random signals has increased. Signal acquisition systems have become smaller, more accurate, portable and extremely reliable. EEG is a highly sought upon signal acquisition system having range of applications in neurological and psychiatry treatments. Yet this system is costly and often beyond the availability of a common patient. In this paper we propose the design of an EEG system which is low cost, making it affordable for common patients yet robust enough to acquire EEG signals for critical neuro-psychiatric study. Also, we review the current state of research in the field of EEG acquisition systems, signal processing of EEG signal and its applications to design a low-cost EEG system.
Databáze: OpenAIRE