Why the study?
Wearable biomedical systems enable continuous monitoring to detect cardiac arrhythmias, but embedding signal processing directly onto ultra-low-power microcontrollers is needed to identify events and reduce transmitted data.
Population
MIT-BIH arrhythmia database
Design
Engineering design and validation study
Authors
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First on-device beat-to-beat arrhythmia classification shown on ultra-low-power MCU; leaves open clinical validation before wearable adoption.
A novel ultra-low-power microcontroller for continuous ECG arrhythmia classification demonstrates high sensitivity for detecting supraventricular and ventricular arrhythmias with minimal power consumption.
Dekimpe et al. (2022) studied this question.
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