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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Patch-Type Heart Rate Variability Analysis with Artificial Intelligence for Detection of Obstructive Sleep Apnea
Abstract Background Obstructive sleep apnea (OSA) affects millions in Taiwan, but common screening tools, such as oximeters and ApneaLink®, may reduce sleep quality and have limited accuracy. Methods We enrolled 277 adults with self- or family-observed snoring. All underwent home sleep apnea testing (HSAT) via ApneaLink® and simultaneous overnight monitoring with a patch-type heart rate variability (HRV) analyzer. After strict data quality control, 86 subjects remained.
Mandibular Advancement for Obstructive Sleep Apnea: Efficacy and the Trade-off of Expiratory Velopharyngeal Obstruction During Sleep Endoscopy – An Exploratory Observational Study
Back to Journals » Nature and Science of Sleep » Volume 18 Authors Lo SC , Hsu YS , Lin YH , Kuo YE, Chen TY , Yang CC Received 23 January 2026 Accepted for publication 23 May 2026 Published 11 June 2026 Volume 2026:18 598380 DOI https://doi.org/10.2147/NSS.S598380 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 3 Editor who approved publication: Prof.
Patch-type Heart Rate Variability Analysis with Artificial Intelligenc
Back to Journals » Nature and Science of Sleep » Volume 18 Authors Hsu YS , Lin YC, Kuo YE, Chou CH, Chou MC, Chang Y, Jacobowitz O , Lin CM, Lo SC, Kuo TBJ , Yang CCH Received 24 September 2025 Accepted for publication 16 January 2026 Published 5 February 2026 Volume 2026:18 Pages 1—19 DOI https://doi.org/10.2147/NSS.S568569 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Dr Marco Veneruso Ying-Shuo Hsu,1– 4 Yu-Cheng...
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