Low power TinyML AI model for heart monitoring
Ultra low power designer Ambiq has launched an open source TinyML AI model for real time heart monitoring on its Apollo processors.
HeartKit is the latest addition to neuralSPOT’s Model Zoo with an optimized AI model for various real-time heart monitoring applications. As with all Ambiq Model Zoo components, HeartKit includes scripts and tools to help AI developers add real-time ECG monitoring capabilities to their health-tech applications.
Most leading consumer products offer similar electrocardiograms (ECG) for common types of heart arrhythmia.
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Ambiq’s HeartKit is a reference AI model that demonstrates analyzing 1-lead ECG data to enable a variety of heart applications, such as detecting heart arrhythmias and capturing heart rate variability metrics. By analyzing individual beats, the model can identify irregular beats, such as premature and ectopic beats originating in the atrium or ventricles.
“Ambiq’s HeartKit may be the only open-source TinyML implementation of AI-based heart monitoring for IoT endpoint devices,” said Carlos Morales, the VP of AI at Ambiq. “The highly optimized AI model will help developers enable health-tech applications on Ambiq Apollo4 Plus SoC in a matter of minutes.”
The TinyML model is designed to be efficient, explainable, and extensible. While the pre-trained model is ready to use on Ambiq platforms, it also includes software to train, convert, and deploy customized models where needed. The HeartKit has been released under the permissive BSD-3 license for ease of deployment and development.
The HeartKit is available now as a Technical Preview on Github.
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