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
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Latest papers
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
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.
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
Furthermore, the model was also evaluated on three other databases.
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification
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.
Sleep quality prediction in caregivers using physiological signals
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.
Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
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
We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate.