An electrocardiography system design for obstructive sleep apnea detection based on improved lomb frequency analysis algorithm

Wai-Chi Fang, I. Wei Chen, Shu Han Fan, Chih Kuo Lee

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, we present a real-time method for obstructive sleep apnea (OSA) detection of frequency analysis of ECG-derived respiratory (EDR) and heart rate variability (HRV). The method is computationally simple with ECG signals to determine the time interval of OSA. We compare it to a traditional complexly Polysomnography (PSG) which needs several physiological signals measured from patients. For the wearable real-time application, the simplified Lomb Periodogram is proposed to perform the frequency analysis of EDR and HRV. The data from 900 ECG recordings from MIT PhysioNet Sleep Apnea database was utilized in the paper. The approximated method of OSA method obtained the highest Specificity (Sp) 90.1%, Sensitivity (Se) 94.3%, and Accuracy 92.1%.

原文English
主出版物標題2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-4
頁數4
ISBN(電子)9781509058037
DOIs
出版狀態Published - 23 3月 2018
事件2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Torino, Italy
持續時間: 19 10月 201721 10月 2017

出版系列

名字2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
2018-January

Conference

Conference2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017
國家/地區Italy
城市Torino
期間19/10/1721/10/17

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