MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
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Updated
Sep 30, 2024 - Python
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
Package for imputing the arterial blood pressure (ABP) waveform from non-invasive physiological waveforms (PPG & ECG) using a deep neural network
Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data
Extraction of photoplethysmogram (PPG) signal from camera recording and assessment of PPG signal quality. Intended for the use in a non-invasive biomedical monitoring system.
Predict Arterial Blood Pressure Using ECG and PPG Data
This dataset is associated with "Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset" paper
Repo for PPG Quality Index algorithm
Diagnosis of Mental Stress using Evolutionary Algorithm and Machine Learning
Blood pressure and heart rate measurement using smartphone video camera - 스마트폰 비디오 카메라를 활용한 혈압, 심박수 측정
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
A library to plot physiological timeseries such as the Photoplethysmogram (PPG) recorded from a pulse oximeter
Second Advanced Numerical Methods Project
Advanced Numerical Methods Project: Heart Beat Rate
Integration of the Mionix Naos QG mouse with iMotions. Sends data based on availabe metrics from the Mionix beta API - Making it available for standard PPG + GSR analysis in iMotions.
Example application to showcase the features available in "swift-waveform_plotter", a library to plot physiological time-series such as the Photoplethysmogram (PPG) recorded from a pulse oximeter
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