Photoplethysmography (PPG) heart rate estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (13 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.

• DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement
  12 Jun 2022 3 repositories listed
  Besides, a plug-and-play Spatial Attention Block (SAB) is proposed to enhance features along with the spatial location information.
• Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
  6 Jun 2020 3 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Telehealth and remote health monitoring have become increasingly important during the SARS-CoV-2 pandemic and it is widely expected that this will have a lasting impact on healthcare practices.
• Time series saliency maps: explaining models across multiple domains
  19 May 2025 2 repositories listed
  These results demonstrate the ability of cross-domain integrated gradients to provide semantically meaningful insights in time-series models that are impossible with traditional time-domain saliency.
• KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
  2 May 2024 2 repositories listed
  Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation.
• Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
  27 Jul 2019 2 repositories listed
  The method includes two parts: 1) a Spatio-Temporal Video Enhancement Network (STVEN) for video enhancement, and 2) an rPPG network (rPPGNet) for rPPG signal recovery.
• RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios
  4 Apr 2025 1 repository listed
  Due to the current lack of uncertainty estimation metrics in the rPPG field, this paper also proposes a new set of methods, using Spearman correlation coefficient, prediction interval coverage, and confidence interval…
• BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation
  13 Jun 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG).
• Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
  19 Jul 2022 1 repository listed
  Objective: This study aimed to: (i) develop a framework with which to design and test PPG beat detectors; (ii) assess the performance of PPG beat detectors in different use cases; and (iii) investigate how their…
• 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.

Syntology lines on 2 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.