Prediction of REM (Rapid Eye Movement) Sleep Behaviour Disorder using EEG Signal applied EMG1 and EMG2 Channel
Mohd. Maroof Siddiqui, Ruchin Jain
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.
Topics & Concepts
ElectroencephalographySleep (system call)SIGNAL (programming language)Eye movementAudiologyMATLABSpectral densityRapid eye movement sleepSleep StagesPsychologyComputer scienceArtificial intelligenceNeuroscienceMedicinePolysomnographyTelecommunicationsProgramming languageOperating systemEEG and Brain-Computer InterfacesNon-Invasive Vital Sign MonitoringBlind Source Separation Techniques