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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fangmin Sun Zhan Zhao Zhen Fang Dilang Chen Xianxiang Chen Yundong Xuan |
| Copyright Year | 2013 |
| Description | Author affiliation: State Key Lab. of Transducer Technol., Inst. of Electron., Beijing, China (Fangmin Sun; Zhan Zhao; Zhen Fang; Dilang Chen; Xianxiang Chen; Yundong Xuan) |
| Abstract | The human body consists of many complicated physiological signals such as blood pressure, electrocardiograph (ECG), respiratory rate, electroencephalograph (EEG), arterial oxygen saturation (SpO2), body temperature and so on, which, to some extent, reflects the health conditions of the people. Long term and continuous monitoring of these signals are of much importance for the detection and treatment of many diseases such as heart failure, hypertension, diabetes mellitus, etc. Wireless body sensor network is developed in this context and soon become very popular for its convenience and inexpensiveness. In this paper, we introduced the basic knowledge and techniques for low-power health monitoring nodes design, and then we described the design and implementation of an ultra low power ECG (LPECG) monitoring node for wireless body sensor network. We mainly discussed the hardware and software design of the low-power ECG monitoring node, and then we test the power consumption of the node when it working at different modes and the monitoring function of the node is tested and the results are presented, at last, we get the conclusion and pointed out the future development of the node. |
| Starting Page | 417 |
| Ending Page | 422 |
| File Size | 246003 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769550169 |
| DOI | 10.1109/ICDMA.2013.98 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation Wireless body sensor network Ultra low power Hardware Software Manufacturing ECG monitoring |
| Content Type | Text |
| Resource Type | Article |
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