Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model-Reference-Cited by-同舟云学术

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Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model

Published:2021-09-04 Issue: Volume: Page:
ISSN:1609-0985
Container-title:Journal of Medical and Biological Engineering
language:en
Short-container-title:J. Med. Biol. Eng.

Author:

Hsieh Tsung-Hao,Liu Meng-Hsuan,Kuo Chin-En,Wang Yung-Hung,Liang Sheng-Fu

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s40846-021-00649-5.pdf

Reference30 articles.

1. Ahmad, S., Batkin, I., Kelly, O., Dajani, H. R., Bolic, M., & Groza, V. (2013). Multiparameter physiological analysis in obstructive sleep apnea simulated with Mueller maneuver. IEEE Transactions on Instrumentation and Measurement, 62(10), 2751–2762.

2. Behar, J., Roebuck, A., Domingos, J. S., Gederi, E., & Clifford, G. D. (2013). A review of current sleep screening applications for smartphones. Physiological Measurement, 34(7), R29.

3. Rosenberg, R. S., & Van Hout, S. (2013). The American Academy of Sleep Medicine inter-scorer reliability program: Sleep stage scoring. Journal of Clinical Sleep Medicine, 9(1), 81–87.

4. Liang, S.-F., Kuo, C.-E., Hu, Y.-H., & Cheng, Y.-S. (2012). A rule-based automatic sleep staging method. Journal of Neuroscience Methods, 205(1), 169–176.

5. Shambroom, J. R., Fábregas, S. E., & Johnstone, J. (2012). Validation of an automated wireless system to monitor sleep in healthy adults. Journal of Sleep Research, 21(2), 221–230.

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