Photoplethysmography (PPG)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

4 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 40 papers with code (148 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.

• Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health
  21 Jun 2024 2 repositories listed
  Photoplethysmography (PPG) is emerging as a crucial tool for monitoring human hemodynamics, with recent studies highlighting its potential in assessing vascular aging through deep learning.
• 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.
• BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data
  2 Nov 2020 2 repositories listed
  Smartwatches or fitness trackers have garnered a lot of popularity as potential health tracking devices due to their affordable and longitudinal monitoring capabilities.
• Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable
  25 Jun 2018 2 repositories listed
  In this paper we study the prediction of heart rate from acceleration using a wrist worn wearable.
• Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks
  12 May 2017 2 repositories listed
  Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics.
• Domain Knowledge Integrated CNN-xLSTM-xAtt Network with Multi Stream Feature Fusion for Cuffless Blood Pressure Estimation from Photoplethysmography Signals
  13 May 2025 1 repository listed
  This paper introduces a novel deep learning (DL)-based framework, which includes a CNN-xLSTM-xAtt-based deep neural network for extracting multi-domain features, and a multi-stream feature fusion network (MSFN) with a…
• Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
  29 Apr 2025 1 repository listed
  Artefacts compromise clinical decision-making in the use of medical time series.
• Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
  27 Feb 2025 1 repository listed
  We address this gap in the research landscape by a comprehensive benchmarking study covering three kinds of input representations, interpretable features, image representations and raw waveforms, across prototypical…
• Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
  26 Feb 2025 1 repository listed
  To investigate this question, we trained five deep learning models on the recently released PulseDB dataset, provided in-distribution benchmarking results on this dataset, and then assessed out-of-distribution…
• Artificial Intelligence-derived Vascular Age from Photoplethysmography: A Novel Digital Biomarker for Cardiovascular Health
  18 Feb 2025 1 repository listed
  We further evaluated the longitudinal applicability of AI-vascular age using serial PPG data from the UKB, demonstrating its value in risk stratification by leveraging AI-vascular age at two distinct time points to…
• WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
  23 Dec 2024 1 repository listed
  Reflective photoplethysmography (PPG) has become the default sensing technique in wearable devices to monitor cardiac activity via a person's heart rate (HR).
• Robust Heart Rate Detection via Multi-Site Photoplethysmography
  23 Dec 2024 1 repository listed
  Smartwatches have become popular for monitoring physiological parameters outside clinical settings.
• PaPaGei: Open Foundation Models for Optical Physiological Signals
  27 Oct 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Current research is limited by the use of single-device datasets, insufficient exploration of out-of-domain generalization, and a lack of publicly available models, which hampers reproducibility.
• RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals
  6 Oct 2024 1 repository listed
  Respiratory rate (RR) is a critical health indicator often monitored under inconvenient scenarios, limiting its practicality for continuous monitoring.
• Stress Detection from Photoplethysmography in a Virtual Reality Environment
  25 Sep 2024 1 repository listed
  Personalized virtual reality exposure therapy is a therapeutic practice that can adapt to an individual patient, leading to better health outcomes.
• INN-PAR: Invertible Neural Network for PPG to ABP Reconstruction
  13 Sep 2024 1 repository listed
  To overcome this limitation, we introduce an invertible neural network for PPG to ABP reconstruction (INN-PAR), which employs a series of invertible blocks to jointly learn the mapping between PPG and its gradient with…
• Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
  29 Aug 2024 1 repository listed
  For example, we trained an LSTM to detect ECG R-peaks using both real ECG signals from the MIT-BIH arrythmia set and our new generator.
• SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
  31 Jul 2024 1 repository listed
  The code used in this work has been open-sourced and is available at https://github.
• Interpretable Pre-Trained Transformers for Heart Time-Series Data
  30 Jul 2024 1 repository listed
  It is also demonstrated that these pre-trained models are straightforward to fine-tune for tasks such as classification of atrial fibrillation (AF), and beat detection in photoplethysmography.
• Fingertip Video Dataset for Non-Invasive Diagnosis of Anemia Using ResNet-18 Classifier
  8 May 2024 1 repository listed
  Accurate measurement of hemoglobin is essential for diagnosing anemia, a condition characterized by a deficiency of red blood cells.
• SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
  26 Apr 2024 1 repository listed
  However, large foundation models are typically trained on high-quality data, which poses a significant challenge, given the prevalence of poor-quality real-world data.
• SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
  15 Apr 2024 1 repository listed
  Atrial fibrillation (AF), a common cardiac arrhythmia, significantly increases the risk of stroke, heart disease, and mortality.
• A Review of Deep Learning Methods for Photoplethysmography Data
  23 Jan 2024 1 repository listed
  In this review, we systematically reviewed papers that applied deep learning models to process PPG data between January 1st of 2017 and July 31st of 2023 from Google Scholar, PubMed and Dimensions.
• SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in Photoplethysmography
  15 Dec 2023 1 repository listed
  The optimization and assessment of the proposed peak detection model use this dataset.
• ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models
  21 Nov 2023 1 repository listed
  Our findings reveal that LLMs exhibit exceptional performance in determining medical indicators, including a Mean Absolute Error (MAE) of less than 1 beat per minute for heart rate and less than 1% for oxygen saturation…
• SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection
  13 Oct 2023 1 repository listed
  Previous deep learning models learn from a single modality, either electrocardiogram (ECG) or photoplethysmography (PPG) signals.
• Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
  25 Aug 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.
• Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
  31 Jul 2023 1 repository listed
  Although some studies suggest a relationship between blood pressure and certain vital signals, such as Photoplethysmogram (PPG), reliable generalization of the proposed blood pressure estimation methods is not yet…
• Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal
  22 Jul 2023 1 repository listed
  In this paper, we propose a novel contrastive learning based deep learning framework for patient similarity search using physiological signals.
• Sparse learned kernels for interpretable and efficient medical time series processing
  6 Jul 2023 1 repository listed
  Rapid, reliable, and accurate interpretation of medical time-series signals is crucial for high-stakes clinical decision-making.

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 2026-09-25.