awesome-ppg
github.com/mintisan/awesome-ppg ↗A comprehensive collection of PPG-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Photoplethysmography(HR/SpO2/BP) field.
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Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me multi-channels resources from awesome-ppg"
Installation instructions →What's inside
Papers
- A Critical Review of Deep Learning-Based Multi-Sensor Fusion TechniquesMulti-channels
- ActPPG : Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate MonitoringHR(Heart Rate)
- A Deep Learning Approach to Estimate SpO2 from PPG SignalsSpO2(Blood oxygen saturation level/Pulse oximetry)
- An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGANArtifacts removal
- Analysing noisy driver physiology real-time using off-the-shelf sensors: Heart rate analysis software from the taking the fast lane projectPeak detection
- An Efficient and Automatic Systolic Peak Detection Algorithm for Photoplethysmographic SignalsPeak detection
Showing a sample of 63 resources. View the full list on GitHub →