Install heartKIT and run a first example.
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heartKITv1.8.0Turn heart signals
into on-device intelligence.
heartKIT is a Python AI development kit for building heart-monitoring applications on Ambiq devices. Train, evaluate and prepare ECG and PPG models for on-device use.
One configurable workflow
- 01Prepare signalsECG and PPG dataset integrations
- 02Build modelsConfigurable architectures and training
- 03Evaluate resultsTask metrics and saved experiments
- 04Prepare for the edgeModel export and task-level demos
What is heartKIT?
Section titled “What is heartKIT?”heartKIT brings signal preparation, model development, evaluation and export into one Python workflow for ECG and PPG applications. Start with a built-in task and configuration, then change the data or model to fit the question you are working on.
You can run a configured workflow from the command line or use the Python API to assemble one yourself. The task pages explain each application; the guides walk through examples, and the API reference covers the underlying interfaces.
Explore heart tasks
Section titled “Explore heart tasks”Choose a starting point for the signal or question you want to work with.
DenoisingClean ECG and PPG recordings before analysis.Explore denoising →SegmentationLocate regions and events in a waveform.Explore segmentation →RhythmBuild an ECG rhythm-classification workflow.Explore rhythm →Beat classificationClassify individual heartbeats in an ECG recording.Explore beat classification →
Installation
Section titled “Installation”In a Python 3.12 project, add heartKIT and check that the command line tool is available:
uv init --python 3.12 my-heart-projectcd my-heart-projectuv add heartkituv run heartkit --helpThe quickstart covers other installation methods and your first workflow.