Key result
A new QRS detection algorithm for a one-channel ECG sensor achieved 99.90% sensitivity and 99.90% positive predictive rate on the resampled MIT-BIH Arrhythmia database.
Why the study?
Existing algorithms needed analysis to develop a quality industrial QRS beat detector for a small, wearable, one-channel ECG sensor.
Population
First channel of rescaled and resampled MIT-BIH Arrhythmia ECG database
Comparison
Developed QRS detection algorithm vs algorithms for original signals
Authors
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May aid wearable arrhythmia screening development; leaves open prospective clinical validation before adoption.
A newly developed QRS detection algorithm for low-resolution, one-channel wearable ECG sensors achieved high sensitivity and positive predictive value, outperforming algorithms designed for higher-resolution signals.
Domazet et al. (2019) studied Arrhythmia. QRS detection algorithm for one-channel ECG sensor vs. Algorithms for original signals (360 Hz, 11 bits) was evaluated on QRS sensitivity and positive predictive rate. A new QRS detection algorithm for a one-channel ECG sensor achieved 99.90% sensitivity and 99.90% positive predictive rate on the resampled MIT-BIH Arrhythmia database.
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