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

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

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.

Vital signs monitor based on PPG signal captured by smartphone camera

A Vital Signal Analysis Package

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

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

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:

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

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.

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

Blood Pressure Estimation using PPG Signal and Demographic Features

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.

💓 WEARABLES 💓 Pulse rate estimation from PPG sensor data and 3D accelerometer data to avoid false high results from sudden movements 💓

Pulse rate estimation algorithm for a wrist-wearable device with clinical application

Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022