Distributed Intelligent Sensor Network for Neurological Rehabilitation Research

被引：0

作者：

Ying, H. ^{[1
]}

Schloesser, M. ^{[1
]}

Schnitzer, A. ^{[1
]}

Leonhardt, S. ^{[2
]}

Schiek, M. ^{[1
]}

机构：

[1] Res Ctr Julich, Cent Inst Elect ZEL, Julich, Germany

[2] Rhein Westfal TH Aachen, Philips Chair Med Informat Technol, Aachen, Germany

来源：

4TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING | 2009年 / 22卷 / 1-3期

关键词：

body sensor network; step detection; Parkinson; respiratory signal analysis; neurological rehabilitation;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Parkinson's disease (PD) is associated with reduced coordination between respiration and locomotion. A mobile health care system for long-time monitoring these vital signals and online analysis of the vegetative locomotor coordination is in great demand and of great challenge. We have developed a miniaturized sensor node system (iNODE, intelligent Network Operating DEvice), which can be folded to a compact cube of 20x20x20 mm. This iNODE is capable of recording the vital signals, e. g. locomotive signal and respiratory signal. These acquired signals are further processed on microprocessor of the iNODE in real-time, to determine the accurate time of step event and respiratory phase. Based on the current prototype, an IEEE 802.15.4 (ZigBee) RF transceiver component will be integrated for wireless bidirectional communication between different sensor nodes, as well as the communication between network and PC. In conclusion, this miniaturized and convenient iNODE enables analysis of the coordination between respiration and locomotion, which will facilitate the rehabilitation for Parkinson patients.

引用

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页码：1714 / 1717

页数：4

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