There are 7 repositories under photoplethysmography topic.
MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral)
Systole: A python package for cardiac signal synchrony and analysis
PPG-beats is a Matlab library of algorithms to detect heartbeats in photoplethysmogram (PPG) signals.
A unique flutter application aimed at helping people getting their vitals using Photoplethysmography and Computer Vision
Remote photoplethysmography (rPPG) is a contactless method to monitor human cardiac activities by detecting the pulse-induced subtle color variations on the human skin surface using a multi-wavelength RGB camera. By measuring the variance of red, green, and blue light reflection changes from the skin, as the contrast between specular reflection and diffused reflection.
Smartphone Photoplethysmography: an easy way to determine your heart rate with a smartphone's camera and flashlight :camera_flash: :zap:
Using self-supervised learning to extract features from PPG signals
ICIP 2019 - Determining Heart Rate from Facial Video - Robust to motion and illumination interferences!
The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial video" publication. The code developed is to fit the data to the reference Blood Pressure values.
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
Wearable Continuous Pulse Oximeter based on PPG(Photoplethysmography)
Firmware for the Heartfelt Cardiac Monitor. Consists of sensor (MAX86150) driver, WiFi and Bluetooth connectivity, and client authentication.
Python app to take photoplethysmography to detect heartbeat based on webcam feed.
Model development for understanding the relationship between photoplethysmography (PPG) waveforms and physiological parameters of Dengue patients.
Implementazione in Python di ”Spatial Subspace Rotation”
Arduino library for the MAX86141 pulse oximeter and heart rate sensor from Maxim Integrated.
PPG센서를 이용한 "심장으로 쓰는 감성일기"