Automated Accurate Sleep Stage Classification System Using Machine Learning Techniques with EEG Signals-Reference-Cited by-同舟云学术

Automated Accurate Sleep Stage Classification System Using Machine Learning Techniques with EEG Signals

Published:2022 Issue: Volume: Page:137-161
ISSN:1434-9922
Container-title:Fuzzy Mathematical Analysis and Advances in Computational Mathematics
language:
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Author:

Satapathy Santosh Kumar,Loganathan D.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0471-4_11

Reference36 articles.

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3. Heyat, M.B.B., Akhtar, S.F., Azad, S.: Power spectral density are used in the investigation of insomnia neurological disorder. In: Proceedings of Pre Congress Symposium, Organized Indian Academy of Social Sciences (ISSA), King George’s Medical University, State Takmeelut-Tib College Hospital, Lucknow, Uttar Pradesh, pp. 45–50 (2016)

4. Rahman, F., Heyat, S.: An overview of narcolepsy. IARJSET 3, 85–87 (2016)

5. Kim, T., Kim, J., Lee, K.: Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniques. BioMed. Eng. OnLine 17, 16 (2018)

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