A Review of Automated Sleep Stage Scoring Using Machine Learning Techniques Based on Physiological Signals-Reference-Cited by-同舟云学术

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A Review of Automated Sleep Stage Scoring Using Machine Learning Techniques Based on Physiological Signals

Published:2024-06-21 Issue: Volume: Page:89-110
ISSN:
Container-title:Intelligent Techniques for Predictive Data Analytics
language:en
Short-container-title:

Author:

Satapathy Santosh Kumar,Agrawal Poojan,Shah Namra,Panigrahi Ranjit,Khandelwal Bidita,Barsocchi Paolo,Bhoi Akash Kumar

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781394227990.ch5

Reference50 articles.

1. Jiang X. Zhao J. Du B. Yuan Z.(2021).Self‐supervised Contrastive Learning for EEG‐based Sleep Staging Harvard.2021 International Joint Conference on Neural Networks (IJCNN) Shenzhen China (18–22 July 2021).New York:IEEE pp.1–8.

2. A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal

3. An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank

4. Achieving Accurate Automatic Sleep Staging on Manually Pre-processed EEG Data Through Synchronization Feature Extraction and Graph Metrics

5. Analyzing respiratory effort amplitude for automated sleep stage classification

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