Title :
A 6.14µA normally-off ECG-SoC with noise tolerant heart rate extractor for wearable healthcare systems
Author :
Izumi, S. ; Yamashita, K. ; Nakano, M. ; Nakagawa, T. ; Kitahara, Y. ; Yanagida, K. ; Yoshimoto, S. ; Kawaguchi, H. ; Kimura, H. ; Marumoto, K. ; Fuchikami, T. ; Fujimori, Y. ; Nakajima, H. ; Shiga, T. ; Yoshimoto, M.
Author_Institution :
Kobe Univ., Kobe, Japan
Abstract :
This paper describes an electrocardiograph (ECG) monitoring SoC using a non-volatile MCU (NVMCU) and a noise tolerant instantaneous heart rate (IHR) monitor. The novelty of this work is the combination of the non-volatile MCU for normally-off computing and a noise-tolerant-QRS (heart beat) detection algorithm to achieve both low-power and noise tolerance. To minimize the stand-by current of MCU, a non-volatile flip-flop and a 6T-4C NVRAM are employed. Proposed plate-line charge-share and bit-line non-precharge techniques also contribute to mitigate the active power overhead of 6T-4C NVRAM. The proposed accurate heart beat detector employs a coarse-fine autocorrelation and a template matching technique. Accurate heart beat detection also contributes system level power reduction because the active ratio of ADC and digital block can be reduced using a heart beat prediction. Then, at least 25% active time can be reduced. Measurement results show the fully integrated ECG-SoC consumes 6.14μA including 1.28-μA nonvolatile MCU and 0.7-μA heart rate extractor.
Keywords :
electrocardiography; health care; system-on-chip; wearable computers; coarse-fine autocorrelation; current 6.14 muA; electrocardiograph monitoring; heart beat detection algorithm; noise tolerant heart rate extractor; nonvolatile MCU; normally off ECG SoC; template matching technique; wearable healthcare systems; Biomedical monitoring; Electrocardiography; Heart rate; Noise; Nonvolatile memory; Random access memory; System-on-chip; biomedical signal processing; electrocardiography; heart rate extraction; mobile healthcare; wearable sensors;
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
DOI :
10.1109/BioCAS.2014.6981717