DocumentCode :
3600864
Title :
A Wearable Healthcare System With a 13.7 
A Noise Tolerant ECG Processor
Author :
Izumi, Shintaro ; Yamashita, Ken ; Nakano, Masanao ; Kawaguchi, Hiroshi ; Kimura, Hiromitsu ; Marumoto, Kyoji ; Fuchikami, Takaaki ; Fujimori, Yoshikazu ; Nakajima, Hiroshi ; Shiga, Toshikazu ; Yoshimoto, Masahiko
Author_Institution :
Grad. Sch. of Syst. Inf., Kobe Univ., Kobe, Japan
Volume :
9
Issue :
5
fYear :
2015
Firstpage :
733
Lastpage :
742
Abstract :
To prevent lifestyle diseases, wearable bio-signal monitoring systems for daily life monitoring have attracted attention. Wearable systems have strict size and weight constraints, which impose significant limitations of the battery capacity and the signal-to-noise ratio of bio-signals. This report describes an electrocardiograph (ECG) processor for use with a wearable healthcare system. It comprises an analog front end, a 12-bit ADC, a robust Instantaneous Heart Rate (IHR) monitor, a 32-bit Cortex-M0 core, and 64 Kbyte Ferroelectric Random Access Memory (FeRAM). The IHR monitor uses a short-term autocorrelation (STAC) algorithm to improve the heart-rate detection accuracy despite its use in noisy conditions. The ECG processor chip consumes 13.7 μA for heart rate logging application.
Keywords :
analogue-digital conversion; electrocardiography; ferroelectric storage; health care; medical signal detection; medical signal processing; patient monitoring; ADC; Cortex-M0 core; ECG processor chip; analog front end; current 13.7 muA; daily life monitoring; electrocardiograph processor; ferroelectric random access memory; heart rate logging application; heart-rate detection accuracy; lifestyle diseases; memory size 64 KByte; noise tolerant ECG processor; robust instantaneous heart rate monitor; short-term autocorrelation algorithm; signal-to-noise ratio; wearable biosignal monitoring systems; wearable healthcare system; word length 12 bit; word length 32 bit; Biomedical monitoring; Electrocardiography; Heart rate; Medical services; Monitoring; Noise; Random access memory; Biomedical signal processing; electrocardiography; heart rate extraction; microcontrollers; mobile healthcare; wearable sensors;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2014.2362307
Filename :
6964819
Link To Document :
