The project implements an algorithm to estimate pulse rates by processing signals from wrist-wearable devices.
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Updated
Nov 25, 2023 - Jupyter Notebook
The project implements an algorithm to estimate pulse rates by processing signals from wrist-wearable devices.
Systole: A python package for cardiac signal synchrony and analysis
2024 캡스턴 프로젝트 개발 저장소 with Flutter and Time Series Deeplearning
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.
Repository for "Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State" AICS 2022
Introduction to MATLAB for the SSB course - Biomedical Engineering - Instituto Superior Técnico 2020/2021
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"
C code and design to acquire the SpO2 using a PSoC 5LP
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:
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.
Wearable Devices PPG Signal Analysis Research - NJIT
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.
💓 WEARABLES 💓 Pulse rate estimation from PPG sensor data and 3D accelerometer data to avoid false high results from sudden movements 💓
NAS-PPG: PPG-Based Heart Rate Estimation Using Neural Architecture Search
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
The final project for "Applying AI to Wearable Device Data" course from "AI for Healthcare" - Udacity.
This dataset is associated with "Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset" paper
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