Heartbeat detection using oscillatory envelope pattern in noisy electrocardiogram

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalComputing in Cardiology
Volume44
DOIs
StatePublished - 2017
Event44th Computing in Cardiology Conference, CinC 2017 - Rennes, France
Duration: 24 09 201727 09 2017

Bibliographical note

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

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