Title
A 6.14µA normally-off ECG-SoC with noise tolerant heart rate extractor for wearable healthcare systems
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.
Year
DOI
Venue
2014
10.1109/BioCAS.2014.6981717
BioCAS
Keywords
DocType
Citations 
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 signal processing,heart rate extraction,mobile healthcare,wearable sensors
Conference
3
PageRank 
References 
Authors
0.60
6
15