Machine Learning-based Feature Extraction Method for Sleep Stage Classification-Reference-Cited by-同舟云学术

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Machine Learning-based Feature Extraction Method for Sleep Stage Classification

Published:2023-06-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Tagimae Henry¹,Kumar Shiu²,Groza Voicu³,Rakaria Joeli¹,Assaf Mansour H.¹,Kumar Rahul R¹,Petriu Emil M.³

Affiliation:

1. The University of the South Pacific,School of Information Technology, Engineering, Mathematics and Physics,Suva,Fiji Islands

2. Fiji National University,Department of Electrical & Electronic Engineering,Suva,Fiji islands

3. University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10171833/10171851/10171878.pdf?arnumber=10171878

Reference15 articles.

1. Sleep Classification According to AASM and Rechtschaffen & Kales: Effects on Sleep Scoring Parameters

2. A Review of Approaches for Sleep Quality Analysis

3. Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

4. Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks

5. Sleep Stage Classification Using Unsupervised Feature Learning

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