Prediction of REM (Rapid Eye Movement) Sleep Behaviour Disorder using EEG Signal applied EMG1 and EMG2 Channel

Author:

Siddiqui Mohd Maroof1,Jain Ruchin2

Affiliation:

1. College of Engineering, Dhofar University, Sultanate of Oman, Oman.

2. College of Engineering, RBCET, India.

Abstract

This sleep disorder is reflected as the changes in the electrical activities and chemical activities in the brain that can be observed by capturing the brain signals and the images. In this research, Short Time-frequency analysis of Power Spectrum Density (STFAPSD) approach applied on Electroencephalogram (EEG) Signals for prediction of RBD sleep disorder. Collection of Electroencephalogram (EEG) of normal subjects & different type of sleep disordered subjects & application of signal processing on EEG data for development the algorithm for detection of sleep disorder and implementation in MATLAB.

Publisher

Oriental Scientific Publishing Company

Subject

Pharmacology

Reference46 articles.

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2. Tzallas, A. T., Tsipouras, M. G., & Fotiadis, D. I. (2009). Epileptic seizure detectionin EEGs using time–frequency analysis. IEEE transactions on information technology in biomedicine, 13(5), 703-710

3. CrossRef

4. Parhi, K. K., & Ayinala, M. (2014). IEEE Transactions on Circuits and Systems I:Regular Papers, 61(1), 172-182.

5. CrossRef

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