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TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
This paper concludes with the direction of improvement for the future TinyML design for health monitoring applications.
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
We equip the system with real-time inference on both intracardiac and surface rhythm monitors.
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