Analysis of Different EEG Data Sets Extracted from Brain Using ICA
Pavan Kumar E
, Usha B H , Swati Uday Kenikar , Suhaas R , Ajjay Chandra A S
Electroencephalography (EEG), Independent Component Analysis (ICA).
The human brain is the central organ of the nervous system, which consists of trillions of neurons.These control the basic functions of human body such as motor controls, sensory, regulations, emotions and languages. Brain waves are produced by synchronizing electrical pulses from neurons communicating with each other.Brain waves speed is measured in Hz and divided as delta, Theta, alpha, beta and gamma.Study of brain signals is known as electroencephalography (EEG).EEG helps to acquire brain signals from scalp area.EEGLAB is an interactive MATLAB toolbox which processes events related to EEG data continuously using independent component analysis (ICA).ICA is a technique of signal processing which separates multi-variant into additive sub-components.
"Analysis of Different EEG Data Sets Extracted from Brain Using ICA ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.528 - 534, May-2018, Available :https://ijsdr.org/papers/IJSDR1805078.pdf
Volume 3
Issue 5,
May-2018
Pages : 528 - 534
Paper Reg. ID: IJSDR_180296
Published Paper Id: IJSDR1805078
Downloads: 000347225
Research Area: Engineering
Country: Bangalore-57, Karantaka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
