DocumentCode :
1508713
Title :
A Wireless Implantable Sensor Network System for In Vivo Monitoring of Physiological Signals
Author :
Fu, Xiuquan ; Chen, Weihong ; Ye, Shuming ; Tu, Yuewen ; Tang, Yawei ; Li, Dingli ; Chen, Hang ; Jiang, Kai
Author_Institution :
Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou, China
Volume :
15
Issue :
4
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
577
Lastpage :
584
Abstract :
A wireless implantable sensor network system (WISNS) is designed for in vivo monitoring physiological signals of a population of animals. WISNS can simultaneously monitor more than 15 animals, communicating three kinds of analog information among sensor nodes. Analog signals are transmitted to relay node at 800-KHz carrier by AM. Relay nodes digitalize and package them into messages, and then forward to the Wireless sensor network by Nordic RF technology (NWSN). Smaller overall dimensions (<;2 cm3), lower power regulation, and dedicated packaging make the system suitable and compatible for implantable devices. The implantable sensor node, protocol stack of NWSN, and performance of the system are evaluated and optimized with ECG monitoring test of rats. Compared with those commercially available sensor nodes, our implantable one is leading in the weight and volume miniaturization, and our WISNS solution shows huge potential in achieving the compatibility of different animals.
Keywords :
biomedical communication; electrocardiography; wireless sensor networks; ECG monitoring; Nordic RF technology; WISNS; analog information; implantable sensor node; physiological signal monitoring; relay nodes; volume miniaturization; weight; wireless implantable sensor network system; Biomedical monitoring; Power demand; Synchronization; Transceivers; Wireless sensor networks; AM; implantable sensor node; in vivo monitoring; time division multiple access (TDMA); wireless implantable sensor network system (WISNS); Animals; Electrocardiography, Ambulatory; Male; Prostheses and Implants; Prosthesis Design; Rats; Remote Sensing Technology; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2011.2149536
Filename :
5762349
Link To Document :
بازگشت