Photoplethysmography (PPG) heart rate estimation
7 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.
Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices
The user's pulse wave is then used to determine stress (according to the Baevsky Stress Index), heart rate, and heart rate variability.
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).
