Heart Rate Variability

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (131 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SCAMPS: Synthetics for Camera Measurement of Physiological Signals
  8 Jun 2022 3 repositories listed
  The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e.
• Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
  7 May 2019 2 repositories listed
  Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG).
• Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
  16 May 2025 1 repository listed
  This work demonstrates the feasibility of combining wearable technology with Explainable Artificial Intelligence (XAI) and contestable LLMs to create a transparent, contestable system for psychiatric diagnosis that…
• Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring
  3 May 2025 1 repository listed
  By combining SoA in-ear electrode technology, an optimized DeepMF algorithm, and BioGAP, our proposed subject-independent approach allows for robust extraction of HR/HRV parameters directly on the device with just 36.
• MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal
  4 Jul 2024 1 repository listed
  Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of suicidal ideation.
• Classification of Phobia Levels in Patients with Arachnophobia Using BPM Analysis of ECG Signals
  2 Jul 2024 1 repository listed
  This study proposes a method to accurately classify phobia levels in patients with arachnophobia using electrocardiogram (ECG) signal analysis.
• Conversational Health Agents: A Personalized LLM-Powered Agent Framework
  3 Oct 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  openCHA includes an orchestrator to plan and execute actions for gathering information from external sources, essential for formulating responses to user inquiries.
• Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs
  4 Sep 2023 1 repository listed
  Further acceleration is obtained by adopting the computationally efficient horizontal visibility graph, which has not yet been used for R-peak detection.
• Camera-Based HRV Prediction for Remote Learning Environments
  7 May 2023 1 repository listed
  In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing.
• CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
  15 Nov 2022 1 repository listed
  We present CardiacGen, a Deep Learning framework for generating synthetic but physiologically plausible cardiac signals like ECG.
• Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals
  6 Nov 2022 1 repository listed
  We achieve 2.
• Facial Video-based Remote Physiological Measurement via Self-supervised Learning
  27 Oct 2022 1 repository listed
  Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.
• pyVHR: a Python framework for remote photoplethysmography
  15 Apr 2022 1 repository listed
  A number of effective methods relying on data-driven, model-based and statistical approaches have emerged in the past two decades.
• PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression
  19 Mar 2022 1 repository listed
  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…
• Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
  1 Jul 2021 1 repository listed
  However, extracting IBIs from noisy signals is challenging since the morphology of the signal is distorted in the presence of the noise.
• Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
  16 Jul 2020 1 repository listed
  Remote physiological measurements, e.
• RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG
  17 Apr 2020 1 repository listed
  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
  9 Aug 2019 1 repository listed
  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
  20 May 2019 1 repository listed
  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.
• Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series
  8 Jun 2016 1 repository listed
  We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.