Synthetic PPG Data Generator
Generates synthetic photoplethysmography waveforms for ML development without patient datasets or governance overhead
The product is an offline synthetic photoplethysmography waveform generator that creates realistic PPG signals for machine learning development without requiring patient datasets, data cleaning, or governance approvals. It is for developers and data teams in companies building PPG algorithms who need signals for prototyping, pipeline testing, and product demonstrations. It is delivered as a standalone offline executable with embedded Python that runs on air-gapped machines and exports to CSV and NumPy.
Key features
- Physiological presets for common rhythms
- Adjust heart rate and amplitude
- Adjust noise and decay levels
- Real-time waveform rendering
- Export to CSV
- Export to NumPy arrays
- Offline execution on air-gapped systems
- Standalone exe with embedded Python
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