NDLI: A wireless ECG acquisition and classification system for body sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jia-Hua Hong Shuenn-Yuh Lee Ming-Chun Liang Cheng-Han Hsieh Shih-Yu Chang Chien
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Jia-Hua Hong; Shuenn-Yuh Lee; Ming-Chun Liang; Cheng-Han Hsieh; Shih-Yu Chang Chien)
Abstract	This paper demonstrates a wireless ECG acquisition and classification system with a bio-signal processor (BSP), a super regenerative transceiver, and a digital signal processor (DSP). The BSP, which is implemented with low complexity architecture, includes only a low noise amplifier with chopping techniques and a high-pass sigma-delta modulator (HPSDM). The super-regenerative on-off keying (OOK) transceiver is applied for the low power, short range transmission and low date rate wireless communication. For the signal processing and analyzing, the DSP circuit is adopted in the receiver. The whole system is implemented in a TSMC 0.18 μm 1P6M CMOS process under the supply voltage of 1.2 V. In the near body node, the power consumption including a BSP and a transmitter is 587 μW only. With two PR44 zinc-air batteries of 605 mAh, the near body node circuit can be operated about 100 days. In the receiving node, the power consumption with a receiver and a DSP is 926 μW.
Starting Page	5183
Ending Page	5186
File Size	887437
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Digital signal processing Wireless communication Power demand Transmitters Transceivers Receivers
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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