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

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.

Neural Networks on PsoC 6

Systole: A python package for cardiac signal synchrony and analysis

2024 캡스턴 프로젝트 개발 저장소 with Flutter and Time Series Deeplearning

Explore the potential of PPG as a diagnostic technique for autonomous nerve function (Clinical Informatics and Telehealth Systems Class) Class)

Internship Project N°2_ HealthDatascience_HealthcareEngineering

A university projects repository

An Adjustable Photoplethysmography Evaluation System for Educational Activities

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.

Blood Pressure Estimation from PPG Signals Using Machine Learning

Monitor vital signs in Driver's seat

BlandAltman plot related to: "Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress"

Introduction to MATLAB for the SSB course - Biomedical Engineering - Instituto Superior Técnico 2020/2021

Digital Biomarkers for Parkinson's Disease Toolbox.

C code and design to acquire the SpO2 using a PSoC 5LP

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

Wearable Devices PPG Signal Analysis Research - NJIT