Sleep Stage Classification for Prediction of Human Sleep Disorders by Using Machine Learning Approach | Zendy

Mayuri A. Rakhonde | Zendy; Kishor Wagh | Zendy; Prof. Ravi V. Mante | Zendy

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Sleep Stage Classification for Prediction of Human Sleep Disorders by Using Machine Learning Approach

Author(s) -

Mayuri A. Rakhonde,

Kishor Wagh,

Prof. Ravi V. Mante

Publication year - 2020

Publication title -

international journal of innovative science and research technology (ijisrt)

Language(s) - English

Resource type - Journals

ISSN - 2456-2165

DOI - 10.38124/ijisrt20jul712

Subject(s) - sleep (system call) , sleep stages , artificial intelligence , computer science , stage (stratigraphy) , sleep patterns , machine learning , feature (linguistics) , pattern recognition (psychology) , psychology , electroencephalography , polysomnography , psychiatry , biology , paleontology , linguistics , philosophy , operating system

Sleep is a fundamental need of human body. In order to maintain health, sufficient sleep is must. Efficiency of sleep is based on sleep stages. Sleep stage classification is required to identify sleep disorders. Sleep stage classification identifies different stages of sleep. In this paper, we used Stochastic Gradient Descent(SGD) a machine learning algorithm for sleep stage classification. In feature extraction, Power Spectral Density(Welch method) is used. We acheived 89% overall accuracy using this model.

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