Project Overview
The N2 ECG Project is an open-source research initiative focused on analyzing electrocardiogram (ECG) signals, with particular emphasis on N2-stage patterns relevant to cardiovascular health and integrative medicine diagnostics.
Key Features
- N2-stage ECG signal detection and classification
- Open-source Python codebase available on GitHub
- Interactive live demo powered by Kimi AI
- Integration potential with acupuncture outcome measurement
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Background
ECG analysis provides a non-invasive window into cardiac function. The N2 project explores how automated signal processing can assist clinicians in identifying patterns that traditional review might miss. This research complements the Green Therapeutics integrative medicine approach by providing objective biomarker data.
Contribute
The project is open-source and welcomes contributions. Visit the GitHub repository to report issues, submit pull requests, or explore the codebase.