Photoplethysmography (PPG) heart rate estimation
6 papers with code • 3 benchmarks • 5 datasets
Estimating heart rate from the photoplethysmogram (PPG) signal
Benchmarks
These leaderboards are used to track progress in Photoplethysmography (PPG) heart rate estimation
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UBFC-rPPG
MMSE-HR
MMPD
BUAA-MIHR dataset
MIMIC PERform Testing Dataset
Most implemented papers
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
xin71/MTTS-CAN
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NeurIPS 2020
Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthcare practices.
DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement
yuhang1070/rPPG_Strong_Baseline
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Besides, a plug-and-play Spatial Attention Block (SAB) is proposed to enhance features along with the spatial location information.
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
ZitongYu/STVEN_rPPGNet
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ICCV 2019
The method includes two parts: 1) a Spatio-Temporal Video Enhancement Network (STVEN) for video enhancement, and 2) an rPPG network (rPPGNet) for rPPG signal recovery.
pyVHR: a Python framework for remote photoplethysmography
phuselab/pyVHR
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PeerJ Computer Science 2022
A number of effective methods relying on data-driven, model-based and statistical approaches have emerged in the past two decades.
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Objective: This study aimed to: (i) develop a framework with which to design and test PPG beat detectors; (ii) assess the performance of PPG beat detectors in different use cases; and (iii) investigate how their performance is affected by patient demographics and physiology.
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG).
