Low power smart sensor circuits for biomedical applications : applications to neural interfaces

Abstract

mark binary classification datasets have been employed in the measurement showing that the performance of our design is comparable with recent publications and software simulations of other machine learning system. This system was implemented in a 0.35 µm CMOS process which can operate from 0.8 V to 3.3 V power supply with a lowest classification energy 0.47 nJ/op and maximum classification speed 518 MMAC/s. v vi