Key result
TinyML contest challenges ~150 teams to develop real-time AI detection algorithms for life-threatening ventricular arrhythmias.
Why the study?
Implantable cardioverter-defibrillators require innovative, real-time AI/ML algorithms implemented on low-power microcontrollers to detect life-threatening ventricular arrhythmias.
The TinyML Design Contest 2022 fostered the development of novel AI/ML algorithms for real-time ventricular arrhythmia detection on low-power microcontrollers for ICDs.
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Promotes TinyML for real-time VA detection on microcontrollers in ICDs; leaves open clinical validation and outcomes.
Jia et al. (2023) studied Life-threatening ventricular arrhythmia (n=90). AI/ML-based real-time detection algorithm was evaluated. The TinyML Design Contest 2022 challenged over 150 teams to develop novel AI/ML-based real-time detection algorithms for life-threatening ventricular arrhythmia on low-power microcontrollers.
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