Ambiq’s AI heartKIT Brings Smarter Health Monitoring On-Device

The Embedded Award-winning AI development kit from Ambiq is designed for precise, privacy-focused heart monitoring. It enables developers to build wearable devices using on-device processing of ECG and PPG signals—common in smartwatches and fitness trackers—without sending data to the cloud.

This software-based development kit supports rapid prototyping and integration into wearable health devices. It includes tools to monitor heart rate and detect anomalies like arrhythmia using real-time signal processing. According to Ambiq, "none of this data is going to leave your wrist or your monitor at all," ensuring user privacy and compliance with medical data sensitivity requirements.

From Noisy Signals to Actionable Data

One of the core features is real-time ECG denoising and segmentation. Live readings, even from noisy environments, are cleaned up on-device using AI models. Developers can simulate real-world scenarios such as tachycardia or atrial fibrillation, allowing for robust testing and validation without clinical data.

The kit operates with low CPU usage, offering extended battery life. As highlighted in the demo, a typical use case allows up to 35 days on a coin cell battery, making it ideal for compact, continuous-use health wearables.

The system also accounts for environmental variables like skin tone and body hair, both of which can impact optical sensor accuracy. Synthetic data augmentation is used to improve model robustness across diverse user profiles.

Ease of Use, Training, and Personalisation

Ambiq’s development kit includes all the training scripts and tools necessary for engineers to create tailored AI models on standard laptops—eliminating the need for cloud-based infrastructure. Public datasets and synthetic data generators support the training process, even with limited original datasets.

The AI models are built to generalise across users but support personalisation via a short calibration process. This allows wearables to adapt to each user's unique patterns, reducing false positives during physical activity or day-to-day variations.

The software is open source and available via Ambiq’s platform, allowing developers to integrate and customise solutions without additional licensing costs, as long as they use Ambiq’s hardware.

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