Detection of Sleep Stages with The Help of EEG Signal Feature |
Author(s): |
Shakshi , u.i.e.t, k.u.k; Ram Avtar Jaswal, u.i.e.t,k.u.k |
Keywords: |
EEG (Electroencephalogram), FIR (Finite Impulse Response), FFT (Fast Fourier Transform), LAB VIEW (Laboratory Virtual Instrumentation Work Bench), Power Spectrum |
Abstract |
Measurement of the electrical activity in the neurons system of human brain is called EEG signal. This document is describe the analysis of EEG signal or brain signal using computational tool lab view to detect the human sleep stages such as relaxed, unconscious, dream and dream less seep according to the brain waves and its frequency bands. The EEG signal is captured by using the 10-20 electrode placement system when the subject in sleep condition. Read bio-signal and FFT tool box of lab view is used to process the raw data and produced the EEG power spectrum. There will different features like variance, mean, standard deviation and skewness etc. The extracted features are used further in other purposes. In this study the extracted mean is give the help in detection of human sleep stage with the help of lab view software. |
Other Details |
Paper ID: IJSRDV4I50599 Published in: Volume : 4, Issue : 5 Publication Date: 01/08/2016 Page(s): 1571-1576 |
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