TinyML on ESP32 Enables Real-Time Arrhythmia Detection at the Edge

Developers can now deploy a quantized 1D-CNN on an ESP32 microcontroller to detect arrhythmias from raw ECG signals locally. The approach uses TensorFlow Lite for Microcontrollers and an AD8232 sensor, achieving low-latency inference while keeping sensitive health data on-device. This edge AI solution reduces reliance on cloud processing, addressing privacy and battery concerns in wearable health tech.