Heart Rate Variability

9 papers with code • 0 benchmarks • 1 datasets

Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat interval.

Datasets


Most implemented papers

Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks

terbed/Deep-rPPG 7 May 2019

Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG).

Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series

ddarmon/spenra 8 Jun 2016

We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate.

Sleep quality prediction in caregivers using physiological signals

RezaSadeghiWSU/Sleep-quality-in-caregivers Computers in Biology and Medicine 2019

To address these issues, we propose a clinical decision support system to predict sleep quality based on trends of physiological signals in the deep sleep stage.

A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification

peterbillhu/TDA_for_SleepWake_Classifications 9 Aug 2019

The first step is capturing the shapes of time series from two different aspects -- {the PH's and hence persistence diagrams of its} sub-level set and Taken's lag map.

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

acrarshin/RPNet 17 Apr 2020

Furthermore, the model was also evaluated on three other databases.

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

nxsEdson/CVD-Physiological-Measurement ECCV 2020

Remote physiological measurements, e. g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under the application scenarios where contact measurement is inconvenient or impossible.

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error

Arefeen06088/IBI_Tiramisu 1 Jul 2021

However, extracting IBIs from noisy signals is challenging since the morphology of the signal is distorted in the presence of the noise.

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression

rossialessio/mmash 19 Mar 2022

The proposed method learns an individual-specific predictive model from heterogeneous observations, and enables estimation of an optimal transport map that yields a push forward operation onto the demographic features for each task.

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

danmcduff/scampsdataset 8 Jun 2022

The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e. g., cardiac and pulmonary) vital signs is very attractive.