ECG analyzing open-source AI model HeartKit from Ambiq for health care dev.

Extreme low power consuming semiconductor devices are enabling growth of medical wearable markets in a big way. One of the growing product segment in personal health care is e-watch or a Smartwatch. The mandatory feature in most of the e-watches is heart monitoring and ECG. Ambiq one of the pioneer in the segment of extreme low-power microcontroller and SoC chips, is supporting developers with a open source AI model called Ambiq HeartKit, its latest addition to neuralSPOT’s Model Zoo. This open source AI model enables running various real-time heart monitoring applications to help users and their healthcare providers quickly identify any irregular events by studying the ECG signal. 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. This model helps in analyzing individual beats and can spot irregular beats, such as premature and ectopic beats originating in the heart's atrium or ventricles.
HeartKit provides scripts and tools to help AI developers add real-time ECG monitoring capabilities to their health-tech applications. By using this free service developers of not only wearable but also any other Personalized health monitoring device can...