title: Noise tolerant QRS detection using template matching with short-term autocorrelation.
abstract: This paper describes a robust method for heart beat detection from noisy electrocardiogram (ECG) signals. Generally, the QRS-complex of heart beat is extracted from the ECG using a threshold. However, in a noisy condition such a mobile and wearable bio-signal monitoring system, noise increases the incidence of misdetection and false detection of QRS-complex. To prevent incorrect detection, we introduce a novel template matching algorithm. The template waveform can be generated autonomously using a short-term autocorrelation method, which leverages the similarity of QRS-complex waveforms. Simulation results show the proposed method achieves state-of-the-art noise tolerance of heart beat detection.
authors.forename: Yozaburo
authors.initials: Y
authors.lastname: Nakai
authors.forename: Shintaro
authors.initials: S
authors.lastname: Izumi
authors.forename: Masanao
authors.initials: M
authors.lastname: Nakano
authors.forename: Ken
authors.initials: K
authors.lastname: Yamashita
authors.forename: Takahide
authors.initials: T
authors.lastname: Fujii
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Kawaguchi
authors.forename: Masahiko
authors.initials: M
authors.lastname: Yoshimoto
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D004562:Electrocardiography / Q000379:methods; D006339:Heart Rate; D006801:Humans; D009200:Myocardial Contraction; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio