Method for OSA Severity Detection Using Recording-based Electrocardiography Signal

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United States of America Patent

APP PUB NO 20230346304A1
SERIAL NO

17732844

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The present invention provides a method for OSA (Obstructive Sleep Apnea) severity detection using recording-based electrocardiography (ECG) Signal. The major feature of the present invention emphasizes on using a recording-based ECG Signal as an input, which is different from the deep learning-based prior art of using segment-based signals as an input to a model, and the segment-based signals has only two classification results, i.e. normal or apnea. The present invention provides a method for a model to detect and output directly a value of apnea-hypopnea index (AHI) for the OSA Severity.

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Patent OwnerAddress
NATIONAL YANG MING CHIAO TUNG UNIVERSITY1001 UNIVERSITY ROAD HSINCHU 300

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Sin Horng Hsinchu, TW 7 1
Chen, You Shuo Hsinchu, TW 8 1
Chung, Yao Hsing Hsinchu, TW 26 55
Hsu, Kuan Chun Hsinchu, TW 1 0
Huang, Chi Jung Hsinchu, TW 27 196
Huang, Yen Chun Hsinchu, TW 9 3
Hwang, Shaw Hwa Hsinchu, TW 38 332
Ku, Ning Yun Hsinchu, TW 26 31
Liao, Yuan Fu Hsinchu, TW 9 114
Lin, Chun Cheng Hsinchu, TW 4 9
Shen, Li Te Hsinchu, TW 25 25
Wang, Yih Ru Hsinchu, TW 7 1
Yao, Bing Chih Hsinchu, TW 26 27
Yeh, Cheng Yu Hsinchu, TW 23 26

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