Heartbeat detection using oscillatory envelope pattern in noisy electrocardiogram

Hsiao Lung Chan*, Fu Tai Wang, Yi Sheng Lee, Chun Li Wang

*此作品的通信作者

研究成果: 期刊稿件會議文章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Heartbeat detection from electrocardiogram (ECG) is crucial for heart rate, heart rate variability, and arrhythmia analysis. However, the detection usually suffers from the interference from violent body movement or muscular activity in wearable ECG devices. Here, we propose a novel heartbeat detection based on the envelope pattern of the oscillatory components derived from ECG by a bandpass filter from 18 to 20 Hz. The envelope of the positive peaks of the emphasized signal is therefore constructed. Each adjacent QRS pair corresponds to a U-type pattern in the envelope. Then, the QRS beat is identified by the amplitude and interval of the U-wave. Meanwhile, low signal-to-noise segment is also marked by the envelope morphology for avoiding wrong recognition of an artifact as a heartbeat.

原文英語
頁(從 - 到)1-4
頁數4
期刊Computing in Cardiology
44
DOIs
出版狀態已出版 - 2017
事件44th Computing in Cardiology Conference, CinC 2017 - Rennes, 法國
持續時間: 24 09 201727 09 2017

文獻附註

Publisher Copyright:
© 2017 IEEE Computer Society. All rights reserved.

指紋

深入研究「Heartbeat detection using oscillatory envelope pattern in noisy electrocardiogram」主題。共同形成了獨特的指紋。

引用此