Real-time obstructive sleep apnea detection from frequency analysis of EDR and HRV using Lomb Periodogram

Shu Han Fan, Chia Ching Chou, Wei Chen Chen, Wai-Chi  Fang

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

In this study, an effective real-time obstructive sleep apnea (OSA) detection method from frequency analysis of ECG-derived respiratory (EDR) and heart rate variability (HRV) is proposed. Compared to traditional Polysomnography (PSG) which needs several physiological signals measured from patients, the proposed OSA detection method just only use ECG signals to determine the time interval of OSA. In order to be feasible to be implemented in hardware to achieve the real-time detection and portable application, the simplified Lomb Periodogram is utilized to perform the frequency analysis of EDR and HRV in this study. The experimental results of this work indicate that the overall accuracy can be effectively increased with values of Specificity (Sp) of 91%, Sensitivity (Se) of 95.7%, and Accuracy of 93.2% by integrating the EDR and HRV indexes.

原文English
主出版物標題2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5989-5992
頁數4
ISBN(電子)9781424492718
DOIs
出版狀態Published - 4 11月 2015
事件37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
持續時間: 25 8月 201529 8月 2015

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2015-November
ISSN(列印)1557-170X

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
國家/地區Italy
城市Milan
期間25/08/1529/08/15

指紋

深入研究「Real-time obstructive sleep apnea detection from frequency analysis of EDR and HRV using Lomb Periodogram」主題。共同形成了獨特的指紋。

引用此