Why the study?
Several photoplethysmogram beat detection algorithms have been proposed, but it was unclear which performs best across different use cases, patient demographics, and physiology.
Which open-source PPG beat detection algorithms perform best across different patient demographics and physiological states compared to ECG?
Population
Data from eight datasets
Comparison
Fifteen beat detectors assessed against electrocardiogram-derived heartbeats
Design
Algorithm benchmarking study
Authors
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Reduced PPG accuracy in exercise, neonates, and AF warrants caution; leaves open need for state-specific validation.
Which open-source PPG beat detection algorithms perform best across different patient demographics and physiological states compared to ECG?
The 'MSPTD' and 'qppg' algorithms demonstrated the best performance for PPG beat detection, though accuracy is reduced during exercise, in neonates, and during atrial fibrillation.
Charlton et al. (2022) studied this question.
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