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
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.
Reproducible biomarkers: Leveraging nonlinear descriptors in the face of non-ergodicity
Any reliable biomarker has to be specific, generalizable, and reproducible across individuals and contexts.
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning
With this dataset, we developed HRV models that combine signal processing and ML to directly infer HRV.
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
Drowsy driving is a major cause of road accidents, but drivers are dismissive of the impact that fatigue can have on their reaction times.
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Cardiovascular disease remains a significant problem in modern society.
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning
Thus, in this study, we apply different CNN architectures that have already performed well in the human activity recognition domain and compare their results.
A Feature Selection Method for Driver Stress Detection Using Heart Rate Variability and Breathing Rate
Driver stress is a major cause of car accidents and death worldwide.
Greedy-optimized Approach for Interbeat Interval and Heart Rate Variability Daily Monitoring using Wearable PPG
The approach is further validated on the PPG-DaLiA dataset with high correlation and low percentage error for IBI and HRV estimation in two daily activities, indicating the robustness of the proposed technique.
Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot
Addressing the problem, the temporal variation measure analysis is presented to describe distribution patterns of scatter points in the second-order difference plot quantitatively and extract the acceleration information for variation of heart rate variability.
On the Generalizability of ECG-based Stress Detection Models
To the best of our knowledge, this is the first work to compare the cross-dataset generalizability between ECG-based deep learning models and HRV models.
