Reports INT8 autoencoder TinyML models for on-device arrhythmia detection from ECG, achieving 84% recall and 9 ms latency on ESP32 after filtering ambiguous cases.
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ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems
Reports INT8 autoencoder TinyML models for on-device arrhythmia detection from ECG, achieving 84% recall and 9 ms latency on ESP32 after filtering ambiguous cases.