G. Gillani

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

This paper investigates the use of approximation techniques to reduce the power and energy consumption of DL architectures while maintaining acceptable classification performance and demonstrates that proposed approximations significantly extend wearable device battery life while preserving the required arrhythmia clas...