Title :
Normally Off ECG SoC With Non-Volatile MCU and Noise Tolerant Heartbeat Detector
Author :
Izumi, Shintaro ; Yamashita, Ken ; Nakano, Masanao ; Yoshimoto, Shusuke ; Nakagawa, Tomoki ; Nakai, Yozaburo ; Kawaguchi, Hiroshi ; Kimura, Hiromitsu ; Marumoto, Kyoji ; Fuchikami, Takaaki ; Fujimori, Yoshikazu ; Nakajima, Hiroshi ; Shiga, Toshikazu ; Yos
Author_Institution :
Grad. Sch. of Syst. Inf., Kobe Univ., Kobe, Japan
Abstract :
This paper describes an electrocardiograph (ECG) monitoring SoC using a non-volatile MCU (NVMCU) and a noise-tolerant instantaneous heartbeat detector. The novelty of this work is the combination of the non-volatile MCU for normally off computing and a noise-tolerant-QRS (heartbeat) detector 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 used. 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 heartbeat detector uses coarse-fine autocorrelation and a template matching technique. Accurate heartbeat detection also contributes system-level power reduction because the active ratio of ADC and digital block can be reduced using heartbeat prediction. Measurement results show that the fully integrated ECG-SoC consumes 6.14 μA including 1.28- μA non-volatile MCU and 0.7- μA heartbeat detector.
Keywords :
biomedical electronics; electrocardiography; flip-flops; medical signal detection; patient monitoring; random-access storage; system-on-chip; 6T-4C NVRAM; ADC; active power overhead; active ratio; bit-line nonprecharge techniques; coarse-line autocorrelation; current 0.7 muA; current 1.28 muA; current 6.14 muA; digital block; electrocardiograph monitoring SoC; noise tolerant heartbeat detector; noise-tolerant-QRS detector; nonvolatile MCU; nonvolatile flip-flop; normally off ECG SoC; plate-line charge-share techniques; stand-by current; system-level power reduction; template matching technique; Detectors; Electrocardiography; Heart beat; Noise; Nonvolatile memory; Random access memory; System-on-chip; Biomedical signal processing; electrocardiography; heartbeat detection; microcontrollers; mobile healthcare; non-volatile memory; wearable sensors;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2015.2452906