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Heart Rate Estimation On Ppg Dalia

Métriques

MAE [bpm, session-wise]

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	MAE [bpm, session-wise]	Paper Title	Repository
Schäck2017	20.45 ± 7.1	Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals	-
SpaMaPlus	11.06 ± 4.8	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 ensemble	7.65 ± 4.2	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks	-
KID-PPG	2.85 ± 1.07	KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
SpaMa	15.56 ± 7.5	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	8.82 ± 3.8	Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks	-

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