Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation

  title={Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation},
  author={Amogh Gudi and Marian Bittner and Jan C. van Gemert},
Remote photo-plethysmography (rPPG) uses a camera to estimate a person’s heart rate (HR). Similar to how heart rate can provide useful information about a person’s vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine fluctuations in the intervals between heart beats. However, this measure requires temporally locating heart beats with a high degree of precision. We introduce a refined and… 
Efficient Spatiotemporal Attention Network for Remote Heart Rate Variability Analysis
An efficient spatiotemporal attention network (ESA-rPPGNet) to recover high-quality rPPG signal for heart rate variability analysis is proposed and ConvGRU is introduced to further improve the network’s ability to learn long-term spatiotmporal feature information.
Contactless Vital Signs Monitoring From Videos Recorded With Digital Cameras: An Overview
An overview of the physiological and technical aspects behind the estimation of vital signs like respiratory rate, heart rate, blood oxygen saturation, and blood pressure from digital images as well as the potential fields of application of these technologies.
Non-contact Measurement of Pulse Rate Variability Using a Webcam and Application to Mental Illness Screening System
A signal reconstruction method for removing noise and strengthening the signal in the pulse rate variability (PRV) frequency band by weighting the three signals of the RGB camera and proposing skin pixel extraction to eliminate blinks, eye movements, and changes in light and shadow.
Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues
The fundamental concept, the present research and the evolution of the aforementioned methods in measuring the HBR are reviewed and presented.
Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces
This work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face, robustly, reliably, and in a configurable manner, and identifies and evaluates the possible choices in the critical steps of unsupervised rPPG methodologies.
NrPPG-NNET: an End to End Deep Learning Approach to Remote Heart Rate Estimation Through Spatial Temporal Representation
The deep learning approach presented, called NrPPG-NNET, was developed by applying the knowledge of a previously trained Convolutional Neural Network to the task of predicting HR from video footage alone and achieves competitive results but does not reach the state of the art.


Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
A refined and efficient real-time rPPG pipeline with novel filtering and motion suppression that not only estimates heart rate more accurately, but also extracts the pulse waveform to time heart beats and measure heart rate variability is introduced.
Measurement of heart rate variability using off-the-shelf smart phones
A non-contact method to extract the blood volume pulse signal using a chrominance-based method followed by a proposed CWT-based denoising technique which is able to produce reliable HRV metrics which are close to the ones measured by contact devices under different conditions.
Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
This work proposes an rPPG measurement method, which is the first work to use deep spatio-temporal networks for reconstructing precise rP PG signals from raw facial videos, and can achieve superior performance on both HR and HRV levels comparing to the state-of-the-art methods.
An Improvement for Video-based Heart Rate Variability Measurement
This paper proposes to use the slope sum function (SSF) to improve the interbeat interval (IBI) detection and shows that this new method has improved the accuracy of the HRV measurement in both frequency domain and time domain.
Robust algorithm for remote photoplethysmography in realistic conditions
Heart Rate Variability Extraction From Videos Signals: ICA vs. EVM Comparison
A comparison between two approaches to HRV measurement, one which is based on the independent component analysis (ICA) and the other based on Eulerian video magnification (EVM), showing that the proposed ICA-based method yields better results when it comes to the high frequency (HF) and low frequency over high-frequency (LF/HF) HRV parameters.
Video pulse rate variability analysis in stationary and motion conditions
The proposed selective tracking method could provide a low-cost, contactless and reliable alternative for measuring HR or PRV parameters in non-clinical environments and showed good agreement between the reference system and the proposed method.