Sleep scoring system and its classification by using EMG signals – A review
Citation
Hemu Farooq, Dr. Anuj Jain "Sleep scoring system and its classification by using EMG signals – A review", International Journal of Engineering Trends and Technology (IJETT), V51(2),88-92 September 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Proper analysis of sleep scoring system and its stages can give clinical information on diagnostic patients with sleep disorders. Since, manual sleep stage classification is a tedious process that takes a lot of time to sleep experts performing data analysis on this field. Moreover errors and inconsistencies between classifications of same data are frequent. Due to this, there is a great need of automatic classification system to support reliable classification. Automatic schemes based on EMG (Electromyography signals) analysis are discussed in order to understand the problem associated with sleep scoring and its stages. EMG is an electro diagnostic medicine technique for evaluating and recording of the electrical activity produced by skeletal muscles. EMG is performed using an instrument called electromyograph to produce record called electromyogram. These signals can be utilized to detect medical abnormalities, activation level or to analyze the biomechanics of human movement. This review provides an overview in using biomedical signal that is EMG signal for the sleep analysis.
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Keywords
Sleep scoring system, Sleep Stage Classification, EMG Signals.