DocumentCode :
245215
Title :
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
Link To Document :
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