Open-source device for measuring cardiograpgy signals with a GUI for easier handling and additional software for analyzing the data.

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals

This is a web demo for camera-based PPG sensing (rPPG).

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)

Project on blood pressure estimation from ECG and PPG signals.

A Vital Signal Analysis Package

Vital signs monitor based on PPG signal captured by smartphone camera

This dataset is associated with "Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset" paper

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals

This data set contains PPG recordings from 56 subjects who were not hospitalized during data collection. This dataset is intended to support the development of approaches for blood pressure estimation by analyzing PPG signals.

This app takes unfiltered PPG waveform as input and SQI table (Optional) and store single PPG segment.

Deep learning framework for accurate blood pressure (BP) estimation from PPG signals. Features include signal selection & enhancement, dual-path temporal/image-based feature extraction, M-SCAN attention, MSFN fusion, and D-QuEST loss with domain knowledge integration. Extensive diversity analysis ensures robustness of the work.

Blood Pressure Estimation from PPG Signals Using Machine Learning

Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:

HRV metrics from PPG/ECG Rust Crate

The final project for "Applying AI to Wearable Device Data" course from "AI for Healthcare" - Udacity.

NAS-PPG: PPG-Based Heart Rate Estimation Using Neural Architecture Search

The website has a table containing individual records of photoplethysmography (PPG) measurements taken from 56 people in a laboratory setting, with none of the subjects hospitalized. Each measurement lasts for 2 minutes and has been conducted with a sampling frequency of 100 Hz.

Digital Biomarkers for Parkinson's Disease Toolbox.