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Technology

An overview of the stack: ECG capture hardware, the software platform, and experimental ML detection on our roadmap.

Device In Development

ECG Capture Hardware

A breadboard prototype built around the ADS1293 ECG front-end chip, transmitting 3-lead ECG wirelessly over BLE.

  • ADS1293 3-channel ECG front-end
  • BLE wireless transmission to the app
  • 3-lead electrode interface via audio jacks
Explore →
Platform In Development

The Software

A Flutter app for Windows, Linux, and Android that streams live ECG data from PulseWave hardware and renders it in real time.

  • Multi-lead real-time ECG waveform display
  • Heart rate, QRS duration, and rhythm readouts
  • Configurable HP, LP, and notch filters
Explore →
Roadmap Planned

Experimental ML Detection

Planned detection algorithms to assist interpretation — not for clinical use. Methods and validation will be published openly.

  • Arrhythmia pattern detection
  • Signal quality assessment
  • Clinician-in-the-loop review workflow
Explore →

PulseWave

An Open Platform for ECG & AI Exploration

© 2026 PulseWave
Independent open-source project

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