https://github.com/ronibandini/hr-hrv

ECG stress detection with Machine Learning HR/HRV
https://github.com/ronibandini/hr-hrv

ecg ecg-classification machine-learning

Last synced: 3 months ago
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ECG stress detection with Machine Learning HR/HRV

• Host: GitHub
• URL: https://github.com/ronibandini/hr-hrv
• Owner: ronibandini
• License: mit
• Created: 2024-11-21T20:21:47.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-15T23:31:20.000Z (about 1 year ago)
• Last Synced: 2025-10-11T03:31:48.766Z (8 months ago)
• Topics: ecg, ecg-classification, machine-learning
• Language: C++
• Homepage: https://docs.edgeimpulse.com/experts/novel-sensor-projects/ecg-hrv-block-arduino-portenta
• Size: 9.06 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Wearable Machine Learning ECG stress detection November 2024, MIT License

# Parts used

Arduino Portenta 

Sparkfun AD8232 ECG sensor

# ML Platform

Edge Impulse Enterprise edition

# Edge Impulse Project

https://studio.edgeimpulse.com/studio/558080

# Instructions

Arudino IDE, Skectch, Include Library, Add Zip library

Then open ecg2.ino and upload to the Arduino Portenta.

# Contact

Roni Bandini

https://www.linkedin.com/in/ronibandini/