Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices

Floriaan Bulten, Yawar Rasheed, Arlene John +2

The paper proposes using reduced data precision and approximate multipliers in a deep‑learning model to lower the power consumption of wearable arrhythmia detectors while keeping h…