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An asynchronous BLE Heart Monitor library with support for additional data from Polar monitors (ECG, accelerometers, etc)

Heart Rate / Epilepsy Alarm

The project, funded by the National Undergrad Innovation Training Program, aims to research non-contact heart rate measurement within a year. It utilizes device cameras (e.g., computers, smartphones) to extract facial video light signals, analyze them, and determine real-time heart rates based on Imaging Photoplethysmography (IPPG).

Supporting code for the GX Dataset

Speech to Text to Speech. Song now playing. Sends text as OSC messages to VRChat to display on avatar. (STTTS) (Speech to TTS) (VRC STT System) (VTuber TTS)

STM32 HAL driver for MAX30102 pulse oximeter and heart rate sensor. Not for clinical use – proceed at your own risk.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

A few aioble (asyncio BLE) examples of micropython using esp32

Compares heart rate data from different heart rate monitors. Import data from Training Center XML (TCX)

Mobile app to monitoring your heart rate and recap or share the session in NextJS web app

Display HR and ECG data from your Polar H10 device

CMOS preprocessor design based on neural networks for detecting heart rate.

Heart Rate Monitoring through Color Channel Analysis (in Rust)

Python framework for Virtual Heart Rate

Measuring the pulse on Android using the camera.

Fast and sample-accurate R-peak detectors based on Visisbility Graphs

heart rate training zones comparison