A 14µA ECG processor with noise tolerant heart rate extractor and FeRAM for wearable healthcare systems

Author

Nakai, Yozaburo ; Izumi, Shintaro ; Yamashita, Ken ; Nakano, Masanao ; Kawaguchi, Hiroshi ; Yoshimoto, Masahiko

Author_Institution

Kobe Univ., Kobe, Japan

fYear

2015

fDate

19-22 Jan. 2015

Firstpage

16

Lastpage

17

Abstract

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 13.7μA for heart rate logging application.

Keywords

analogue-digital conversion; biomedical electronics; correlation methods; data recording; electrocardiography; ferroelectric storage; health care; medical signal processing; microprocessor chips; patient monitoring; random-access storage; ADC; Cortex-M0 core; ECG processor; FeRAM; IHR monitor; STAC algorithm; current 13.7 muA; current 14 muA; electrocardiograph processor; ferroelectric random access memory; heart rate detection; heart rate logging; instantaneous heart rate extractor; memory size 64 KByte; noise tolerant heart rate extractor; robust Instantaneous heart rate monitor; short-term autocorrelation algorithm; wearable healthcare systems; word length 32 bit; Biomedical monitoring; Electrocardiography; Ferroelectric films; Heart rate; Monitoring; Nonvolatile memory; Random access memory;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific

Conference_Location

Chiba

Print_ISBN

978-1-4799-7790-1

Type

conf

DOI

10.1109/ASPDAC.2015.7058924

Filename

7058924