R-Wave Detection in the Presence of Muscle Artifacts

Ambulatory electrocardiogram (ECG) recordings from patients undergoing severe physical stress are corrupted by large muscle artifacts (EMG) and other noise sources, such as baseline drifts and currents induced by motion artifacts and electromechanical devices. A simple and reliable QRS filter and R-...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 1984-11, Vol.BME-31 (11), p.715-717
Main Author: De Vel, Olivier Y.
Format: Article
Language:English
Subjects:
Band pass filters
Bandwidth
Biological and medical sciences
Biomedical Engineering
Electrocardiography
Electrocardiography - methods
Electrodiagnosis. Electric activity recording
Electromechanical devices
Electromyography
Frequency
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
Muscles
Muscles - physiology
Signal design
Signal to noise ratio
Stress
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Description
Summary:Ambulatory electrocardiogram (ECG) recordings from patients undergoing severe physical stress are corrupted by large muscle artifacts (EMG) and other noise sources, such as baseline drifts and currents induced by motion artifacts and electromechanical devices. A simple and reliable QRS filter and R-wave detectot unit, for use under moderate to low QRS signal-to-noise ratio conditions, is described. It is found that a narrow bandpass sampled data filter design with a center frequency and bandwidth equal to 4 Hz maximizes the QRS signal-to-noise ratio under such conditions. The detector includes automatic gain control and a differencing integrator for improved R-wave detection.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.1984.325395