medical

Heart rate estimation

3260 papers • 126 benchmarks • 313 datasets

RR interval detection and R peak detection from QRS complex

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in heart-rate-estimation

Trend

Dataset

Best Model

Actions

PPG-DaLiA

WESAD

BIDMC

Libraries

i

Use these libraries to find heart-rate-estimation models and implementations

phuselab/pyVHR

2 papers 388

Datasets

V4V

Subtasks

No subtasks available.

Most implemented papers

DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement

Gongping Yang, Yuhang Dong, Yilong Yin•Sat Jun 11 2022

A Decomposition and Reconstruction Network (DRNet) focusing on the modeling of physiological features rather than noisy data, a novel cycle loss is proposed to constrain the periodicity of physiological information, and a plug-and-play Spatial Attention Block (SAB) is suggested to enhance features along with the spatial location information.

5

Content

MTHS

VIPL-HR

MTHS

0

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Real-Time Monitoring of User Stress, Heart Rate and Heart Rate Variability on Mobile Devices

L. Sigal, Peyman Bateni•Mon Oct 03 2022

The Beam AI SDK is introduced, which can monitor user stress through the selfie camera in real-time and demonstrate an average Pearson correlation of 0.801 in determining stress and heart rate variability, thus producing commercially useful readings to derive content decisions in apps.

6 0

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Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement

Guoying Zhao, Xiaopeng Hong, Zitong Yu, Xiaobai Li, Wei Peng•Fri Jul 26 2019

Comprehensive experiments are performed to show that the proposed method not only achieves superior performance on compressed videos with high-quality videos pair, but also generalizes well on novel data with only compressed videos available, which implies the promising potential for real-world applications.

312 0

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Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB

A. Morales, Julian Fierrez, Rubén Tolosana, Roberto Daza, J. Hernandez-Ortega•Sun May 31 2020

The proposed face heart rate estimation approach is compared with the heart rate provided by the smartwatch, achieving very promising results for its future deployment in e-learning applications.

16 0

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Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video

G. Sapiro, Natalia Martínez, Martín Bertrán, Hau‐Tieng Wu•Wed Feb 13 2019

This work presents a simple, principled signal extraction method that recovers the iHR from infrared face videos, showing that infrared is a promising alternative to conventional video imaging for heart rate monitoring, especially in low light conditions.

14 0

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Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner

Eugene Lee, E. Chen, Chen-Yi Lee•Mon Jul 13 2020

This work proposes a transductive meta-learner that takes unlabeled samples during testing (deployment) for a self-supervised weight adjustment (also known as transductives inference), providing fast adaptation to the distributional changes during deployment.

190 0

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An Open Framework for Remote-PPG Methods and Their Assessment

Vittorio Cuculo, Giuseppe Boccignone, Alessandro D'amelio, G. Grossi, Raffaella Lanzarotti, Donatello Conte•Tue Dec 31 2019

Surprisingly, performances achieved by the four best rPPG methods, namely POS, CHROM, PCA and SSR, are not significantly different from a statistical standpoint, highlighting the importance of evaluate the different approaches with a statistical assessment.

91 0

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DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation

A. Morales, Julian Fierrez, Rubén Tolosana, J. Hernandez-Ortega•Wed Sep 30 2020

This work introduces a novel DeepFake detection framework based on physiological measurement, which considers information related to the heart rate using remote photoplethysmography (rPPG), and investigates to what extent rPPG is useful for the detection of DeepFake videos.

94 0

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Heart Rate Estimation from Ballistocardiography Based on Hilbert Transform and Phase Vocoder

Guoxing Wang, Qingsong Xie, Y. Lian•Sun Sep 09 2018

This paper presents a robust method to monitor heart rate from BCG (Ballistocardiography) signal, which is acquired from the sensor embedded in a chair or a mattress by introducing Hilbert Transform to extract the pulse envelope that models the repetition of J-peaks in BCG signal.

10 0

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SPECMAR: fast heart rate estimation from PPG signal using a modified spectral subtraction scheme with composite motion artifacts reference generation

M. Islam, S. Fattah, Sk. Tanvir Ahmed, C. Shahnaz•Sat Oct 13 2018

A fast algorithm for heart rate estimation based on modified SPEctral subtraction scheme utilizing Composite Motion Artifacts Reference generation (SPECMAR) from photoplethysmographic (PPG) signals is proposed using two-channel PPG and three-axis accelerometer signals.

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