Key result
The Pan and Tompkins algorithm outperformed 9 other low computation algorithms for QRS detection, achieving 100% sensitivity without noise and 100% sensitivity with 98% F1 measure in noisy signals.
Why the study?
Arrhythmia can be asymptomatic and difficult to detect, motivating portable ECG use where lightweight computing can increase battery life and reduce memory requirements.
Which of the 10 low computation QRS detection algorithms performs best for heartbeat detection on portable ECG systems?
Which of the 10 low computation QRS detection algorithms performs best for heartbeat detection on portable ECG systems?
The Pan and Tompkins algorithm is highly effective and noise-resistant for QRS detection in portable ECG systems, making it suitable for lightweight computing applications.
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Pan-Tompkins may suit low-compute portable ECG QRS detection; leaves open prospective clinical validation.
Siswanti et al. (2020) studied Arrhythmia. Pan and Tompkins algorithm vs. Other low computation algorithms was evaluated on F1 Measure, sensitivity, and positive predictivity. The Pan and Tompkins algorithm outperformed 9 other low computation algorithms for QRS detection, achieving 100% sensitivity without noise and 100% sensitivity with 98% F1 measure in noisy signals.
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