Machine and Deep Learning Algorithms for Wearable Health Monitoring-Reference-Cited by-同舟云学术

Machine and Deep Learning Algorithms for Wearable Health Monitoring

Published:2021 Issue: Volume: Page:105-160
ISSN:2366-0988
Container-title:Health Information Science
language:
Short-container-title:

Author:

Fei Chengwei,Liu Rong,Li Zihao,Wang Tianmin,Baig Faisal N.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68723-6_6

Reference233 articles.

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3. Ahrens, T. (2008) The most important vital signs are not being measured. Aust. Crit Care 21:3–5.

4. Alaiad, A., Zhou, L. (2014) The determinants of home healthcare robots adoption: an empirical investigation. Int. J. Med. Inf. 8(3):825–840.

5. Al-Hajji, A.A. (2012) Rule-Based Expert System for Diagnosis and Symptom of Neurological Disorders “Neurologist Expert System (NES)”. In: the 1st Taibah University International Conference on Computing and Information Technology, Al-Madinah Al-Munawwarah, Saudi Arabia, pp. 67–72.

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