Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study-Reference-Cited by-同舟云学术

Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study

Published:2024 Issue: Volume:12 Page:122959-122987
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Raisa Roksana Akter¹^ORCID,Rodela Ayesha Siddika¹,Yousuf Mohammad Abu²^ORCID,Azad Akm³^ORCID,Alyami Salem A.³^ORCID,Liò Pietro⁴^ORCID,Islam Md Zahidul⁵^ORCID,Pogrebna Ganna⁶^ORCID,Moni Mohammad Ali⁶^ORCID

Affiliation:

1. Department of Information and Communication Technology, Bangladesh University of Professionals, Mirpur, Dhaka, Bangladesh

2. Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh

3. Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

4. Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K.

5. School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW, Australia

6. Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Bathurst, NSW, Australia

Funder

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10595050.pdf?arnumber=10595050

Reference131 articles.

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2. Physical findings in the upper airways related to obstructive sleep apnea in men and women

3. Obstructive sleep apnea has little impact on quality of life in the elderly

4. The Epidemiology of Adult Obstructive Sleep Apnea

5. Obstructive sleep apnea syndrome