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Essay On Sleep Analysis Paper

2138 Words9 Pages

this paper presents a comparison among ‎different time ‎frequency representation methods ‎in ‎sleep study with EEG signal ‎‎.‎EEG signal reflects brain ‎activity and is useful for sleep ‎study. Sleep study is ‎necessary for diagnostic and treatment of sleep ‎disorders.EEG is a non-‎stationary signal and therefore ‎classic methods such as fourier transform is not ‎suitable for ‎studying it. Time frequency ‎representation is one of the methods that are used for ‎feature extraction ‎of EEG signal. There are many ‎approaches to time frequency representation‎ and it is ‎necessary to ‎examine which of this approaches have ‎better results for sleep classification. In this paper ‎time ‎frequency representation image is obtained ‎from six time frequency …show more content…

‎EEG ‎signal ‎reflects brain activity and is useful for sleep ‎study. Sleep study is necessary for diagnostic and ‎treatment ‎of sleep disorders
EEG is a non-stationary signal and a good method to ‎studing it, is time frequency analysis. There are many ‎approaches to time frequency representation‎ and it ‎is ‎necessary to ‎examine which of this approaches have ‎better results ‎for sleep classification. It is a ‎Comparative analysis. Studies like this already ‎existed. For example J.D. Mart´ınez-Vargas et al. do a ‎Comparative analysis of Time Frequency ‎Representations for discrimination of epileptic ‎activity in EEG Signals.[1] ‎
EEG signal has many useful features that can be used ‎for sleep studying . Varun Bajaj and Ram ‎Bilas Pachori ‎proposed that features derived from the histogram of ‎segmented time-frequency ‎image (TFI) corresponding ‎to frequency-bands of rhythms of EEG signals are ‎useful for automatic ‎classification of sleep stages[2] ‎‎.For comparison among different time frequency ‎distributions, it is necessary to have some features ‎that should extracted from TFI. We use the features ‎that Varun Bajaj and Ram ‎Bilas Pachori proposed. ‎These features will be introduced in methods and ‎materials

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