A 19-μA metabolic equivalents monitoring SoC using adaptive sampling

摘要

This paper presents a low-power metabolic equivalents (METs) estimation SoC for monitoring physical activity with wearable sensor. Long-term continuous METs monitoring can contribute to detection of non-communicable diseases. The proposed SoC consists of a non-volatile CPU and a dedicated hardware for heart rate extraction and METs estimation to reduce the power consumption. A test chip is fabricated in a 130-nm CMOS process. Evaluation results show that the proposed system, which consists of the test chip and an accelerometer, consumes about 19-μA on average.