Investigation on the Classification of Sleep Analysis and Sleep Spindle using Wavelets

Investigation on the classification of sleep analysis using wavelets is the most important to find the sleep classification. Electroencephalography (EEG) is a straightforward strategy which does a significant job in identifying human feelings. Right now, new highlights are separated utilizing Discrete Wavelet Transform (DWT) and further the feelings are characterized utilizing EEG signs of 10 subjects. Highlight Extraction is performed by utilizing DWT and the Decomposition of EEG signals is separated for 8 levels utilizing "db4" wavelet. The classification performance is performed by analyzing the average power of the input signals thereby identifying the sleep spindles.