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

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

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

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

Project on blood pressure estimation from ECG and PPG signals.

Vital signs monitor based on PPG signal captured by smartphone camera

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

A Vital Signal Analysis Package

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.

This project uses Recurrence Plot(RP) to detect peaks caused by pulse from ppg signals. The main idea is labeling peaks for clean ppg signal first, then adding noise into ppg signal as trainning material. The model seleted for this task is a basic CNN model. See attached slides for more detais.

The project implements an algorithm to estimate pulse rates by processing signals from wrist-wearable devices.

An Adjustable Photoplethysmography Evaluation System for Educational Activities

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

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:

El sitio web tiene tabla que contiene registros individuales de mediciones de fotopletismografía (PPG) tomadas de 56 personas en un entorno de laboratorio, sin que ninguno de los sujetos estuviera hospitalizado. Cada medición tiene una duración de 2 minutos y se ha realizado con una frecuencia de muestreo de 100 Hz.

Neural Networks on PsoC 6

Blood Pressure Estimation using PPG Signal and Demographic Features

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals