Heart rate estimation
11 papers with code • 4 benchmarks • 3 datasets
RR interval detection and R peak detection from QRS complex
Benchmarks
These leaderboards are used to track progress in Heart rate estimation
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VIPL-HR
V4V
MTHS
Most implemented papers
Heart Rate Estimation from Ballistocardiography Based on Hilbert Transform and Phase Vocoder
The proposed algorithm addresses the shortfalls in traditional Fast Fourier Transform (FFT) based approaches by introducing Hilbert Transform to extract the pulse envelope that models the repetition of J-peaks in BCG signal.
SPECMAR: Fast Heart Rate Estimation from PPG Signal using a Modified Spectral Subtraction Scheme with Composite Motion Artifacts Reference Generation
In this paper, a fast algorithm for heart rate estimation based on modified SPEctral subtraction scheme utilizing Composite Motion Artifacts Reference generation (SPECMAR) is proposed using two-channel PPG and three-axis accelerometer signals.
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video
One way to avoid these constraints is using infrared cameras, allowing the monitoring of iHR under low light conditions.
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB
In this study we estimate the heart rate from face videos for student assessment.
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
eugenelet/Meta-rPPG
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ECCV 2020
Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work.
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
This work introduces a novel DeepFake detection framework based on physiological measurement.
An Open Framework for Remote-PPG Methods and their Assessment
phuselab/pyVHR
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This paper presents a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG).
Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss
To address these problems, we present a novel self-supervised spatiotemporal learning framework for remote physiological signal representation learning, where there is a lack of labelled training data.
Instantaneous Physiological Estimation using Video Transformers
revanurambareesh/instantaneous_transformer
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It outperformed both shallow and deep learning based methods for instantaneous respiration rate estimation.
Efficient Deep Learning-based Estimation of the Vital Signs on Smartphones
Nowadays, due to the widespread use of smartphones in everyday life and the improvement of computational capabilities of these devices, many complex tasks can now be deployed on them.
