A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques-Reference-Cited by-同舟云学术

A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

Published:2023 Issue: Volume: Page:983-992
ISSN:1876-1100
Container-title:Intelligent Control, Robotics, and Industrial Automation
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Author:

Satapathy Santosh Kumar,Kondaveeti Hari Kishan,Swain Debabrata

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4634-1_77

Reference53 articles.

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3. Surantha N, Lesmana TF, Isa SM (2021) Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data. J Big Data 8(14):1–17

4. Satapathy SK, Ravisankar M, Logannathan D (2020) Automated sleep stage analysis and classification based on different age specified subjects from a dual-channel of EEG signal. In: 2020 IEEE International conference on electronics, computing and communication technologies (CONECCT), Bangalore, India. IEEE, pp 1–6

5. Satapathy SK, Loganathan D (2022) Automated accurate sleep stage classification system using machine learning techniques with EEG signals. In: Kannan SR, Last M, Hong TP, Chen CH (eds) Fuzzy mathematical analysis and advances in computational mathematics. Studies in fuzziness and soft computing, vol 419. Springer, Singapore, pp 137–161