Heart Rate Variability
16 papers with code • 0 benchmarks • 3 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.
Benchmarks
These leaderboards are used to track progress in Heart Rate Variability
UBFC-rPPG
MMSE-HR
VIPL-HR
Latest papers with no code
Heart Rate Variability Series is the Output of a non-Chaotic System driven by Dynamical Noise
The method relies on the estimation of asymptotic growth rate of noisy mean square displacement series in a two-dimensional phase space.
Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Preliminary analysis revealed significant correlations between physiological responses and behavioral outcomes, indicating the potential of physiological feedback to enhance VR-based interventions for ASD.
Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features
The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact sensors.
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
In this context, accessible and effective risk assessment is indispensable.
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social media.
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research
This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7, 077 participants over 21, 412 nights.
PhysioZoo: The Open Digital Physiological Biomarkers Resource
PhysioZoo is a collaborative platform designed for the analysis of continuous physiological time series.
Development Of Automated Cardiac Arrhythmia Detection Methods Using Single Channel ECG Signal
This work proposes a multi-class arrhythmia detection algorithm using single channel electrocardiogram (ECG) signal.
Comparison of HRV Indices of ECG and BCG Signals
Electrocardiography (ECG) plays a significant role in diagnosing heart-related issues, it provides, accurate, fast, and dependable insights into crucial parameters like QRS complex duration, the R-R interval, and the occurrence, amplitude, and duration of P, R, and T waves.
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables
Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health.
