Energy-Efficient Sleep Apnea Detection Using a Hyperdimensional Computing Framework Based on Wearable Bracelet Photoplethysmography-Reference-Cited by-同舟云学术

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Energy-Efficient Sleep Apnea Detection Using a Hyperdimensional Computing Framework Based on Wearable Bracelet Photoplethysmography

Published:2024-08 Issue:8 Volume:71 Page:2483-2494
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Chen Tian¹^ORCID,Zhang Jingtao¹^ORCID,Xu Zeju¹^ORCID,Redmond Stephen J.²^ORCID,Lovell Nigel H.³^ORCID,Liu Guanzheng¹^ORCID,Wang Changhong⁴^ORCID

Affiliation:

1. School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, China

2. School of Electrical and Electronic Engineering, University College Dublin, Ireland

3. Graduate School of Biomedical Engineering, University of New South Wales, Australia

4. School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10/10604459/10472636.pdf?arnumber=10472636

Reference43 articles.

1. The Occurrence of Sleep-Disordered Breathing among Middle-Aged Adults

2. Arousal from sleep: implications for obstructive sleep apnea pathogenesis and treatment

3. Underdiagnosis of Sleep Apnea Syndrome in U.S. Communities

4. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

5. Beneficial Effects of Long-Term CPAP Treatment on Sleep Quality and Blood Pressure in Adherent Subjects With Obstructive Sleep Apnea

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