Heart Rate Estimation On Wesad

Metrics

MAE [bpm, session-wise]

Results

Performance results of various models on this benchmark

		Paper Title
Schäck2017	19.97 ± 8.1	Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals
SpaMa	11.51 ± 3.7	A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor
SpaMaPlus	9.45 ± 2.9	A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor
CNN average	8.42 ± 3	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks
CNN ensemble	7.47 ± 3.3	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks

0 of 5 row(s) selected.

Heart Rate Estimation On Wesad

Metrics

MAE [bpm, session-wise]

Results

Performance results of various models on this benchmark

		Paper Title
Schäck2017	19.97 ± 8.1	Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals
SpaMa	11.51 ± 3.7	A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor
SpaMaPlus	9.45 ± 2.9	A Novel Time-Varying Spectral Filtering Algorithm for Reconstruction of Motion Artifact Corrupted Heart Rate Signals During Intense Physical Activities Using a Wearable Photoplethysmogram Sensor
CNN average	8.42 ± 3	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks
CNN ensemble	7.47 ± 3.3	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks

0 of 5 row(s) selected.