The Edge-artificial intelligence (AI) ready wearable biosensing Holter reference design provides an evaluation platform for our latest offerings in continuous monitoring of vital signs such as electrocardiography (ECG), heart rate, respiration, pace pulse, temperature and motion. The design uses the AFE159RP4 for low-power, high-resolution, and highly-integrated ECG signal acquisition with up to six leads (four channels) and the TMP119 for body temperature monitoring. The measured data is processed by the MSPM0 MCU with hardware acceleration for real-time arrhythmia classification, then transferred by the CC2340R5 (with Bluetooth® Low Energy (LE) 5.3 support) to a remote terminal such as a smartphone or medical monitoring system for real-time display. The full system can be powered by 2 × CR2032 batteries (3V input) or 1 × AAA battery (1.5V input).
A fully assembled board has been developed for testing and performance validation only, and is not available for sale.
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Reference design overview and verified performance test data
Includes TI products in the design and potential alternatives.
| Type | Title | Date | ||
|---|---|---|---|---|
| * | Design guide | AI-Enabled, Wireless ECG Holter Monitor Reference Design for Real-Time Arrhythmia Classification | PDF | HTML | Jan 3, 2024 |
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