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Electroencephalography is non-invasive tool used in monitoring brain activities and diagnosis of many neurological disorders. EEG is a measurement tool to measure electrical activity generated by translating chemical variation in brain into voltage. EEG signals are measured with multi-electrode placed at properly localized part of the brain with either intracranial or Scalp EEG method. EEG (Electroencephalograph) analysis has become very important to detect various human diseases. The most important and simple aspect in processing EEG signals is to use time frequency analysis for possible diagnosis. Advanced methods of spectral analysis can extract new information encompassed in EEG signals by means of specific parameters. The EEG analysis plays very important role in feature extraction of EEG signal for detecting and predicting various brain diseases. The main objective of this paper is to study time-frequency analysis of EEG signal and compare their performances.
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Harpale et al. (2016) studied this question.
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