Normally-off technologies for healthcare appliance

Author

Izumi, Shintaro ; Kawaguchi, Hitoshi ; Yoshimoto, Masahiko ; Fujimori, Yoshikazu

Author_Institution

Kobe Univ., Kobe, Japan

fYear

2014

fDate

20-23 Jan. 2014

Firstpage

17

Lastpage

20

Abstract

Battery mass and power consumption of wearable system must be reduced because the key factors affecting wearable system usability are miniaturization and weight reduction. This report describes a wearable biosignal monitoring system using normally-off technologies to minimize the power consumption. Especially we focused on daily-life monitoring and electrocardiograph (ECG) processor. Our system employs Ferroelectric Random Access Memory (FeRAM) and Near Field Communication (NFC) for normally-off data logging and normally-off data communication. A robust heart rate monitor and Cortex M0 core are used to on-node processing for logging data reduction.

Keywords

data loggers; data reduction; electrocardiography; ferroelectric storage; medical signal processing; patient monitoring; power consumption; random-access storage; telemedicine; Cortex M0 core; ECG processor; FeRAM; NFC; battery mass; electrocardiograph; ferroelectric random access memory; healthcare appliance; heart rate monitor; logging data reduction; miniaturization; near field communication; normally-off data communication; normally-off data logging; normally-off technologies; on-node processing; power consumption; wearable biosignal monitoring system; wearable system usability; weight reduction; Biomedical monitoring; Electrocardiography; Ferroelectric films; Monitoring; Noise; Nonvolatile memory; Random access memory;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific

Conference_Location

Singapore

Type

conf

DOI

10.1109/ASPDAC.2014.6742853

Filename

6742853