DocumentCode :
36590
Title :
A Wireless Capsule System With ASIC for Monitoring the Physiological Signals of the Human Gastrointestinal Tract
Author :
Fei Xu ; Guozheng Yan ; Kai Zhao ; Li Lu ; Jinyang Gao ; Gang Liu
Author_Institution :
Dept. of Instrum. Sci. & Eng., Shanghai Jiaotong Univ., Shanghai, China
Volume :
8
Issue :
6
fYear :
2014
fDate :
Dec. 2014
Firstpage :
871
Lastpage :
880
Abstract :
This paper presents the design of a wireless capsule system for monitoring the physiological signals of the human gastrointestinal (GI) tract. The primary components of the system include a wireless capsule, a portable data recorder, and a workstation. Temperature, pH, and pressure sensors; an RF transceiver; a controlling and processing application specific integrated circuit (ASIC); and batteries were applied in a wireless capsule. Decreasing capsule size, improving sensor precision, and reducing power needs were the primary challenges; these were resolved by employing micro sensors, optimized architecture, and an ASIC design that include power management, clock management, a programmable gain amplifier (PGA), an A/D converter (ADC), and a serial peripheral interface (SPI) communication unit. The ASIC has been fabricated in 0.18- μm CMOS technology with a die area of 5.0 mm × 5.0 mm. The wireless capsule integrating the ASIC controller measures Φ 11 mm × 26 mm. A data recorder and a workstation were developed, and 20 cases of human experiments were conducted in hospitals. Preprocessing in the workstation can significantly improve the quality of the data, and 76 original features were determined by mathematical statistics. Based on the 13 optimal features achieved in the evaluation of the features, the clustering algorithm can identify the patients who lack GI motility with a recognition rate reaching 83.3%.
Keywords :
CMOS integrated circuits; analogue-digital conversion; application specific integrated circuits; bioMEMS; biological organs; biomedical electronics; biomedical measurement; chemical sensors; feature extraction; medical signal processing; microcontrollers; microsensors; pH measurement; patient monitoring; pattern clustering; peripheral interfaces; pressure sensors; radio transceivers; radiofrequency amplifiers; statistical analysis; temperature measurement; temperature sensors; wireless sensor networks; A/D converter; ASIC controller; CMOS technology; PGA; RF transceiver; application specific integrated circuit; batteries; clock management; clustering algorithm; data quality; data recorder; die area; hospitals; human gastrointestinal tract; mathematical statistics; microsensors; optimal feature evaluation; optimized architecture; pH sensors; physiological signal monitoring; portable data recorder; power management; pressure sensors; primary components; programmable gain amplifier; recognition rate; sensor precision; serial peripheral interface communication unit; size 0.18 mum; temperature sensors; wireless capsule system; workstation; Application specific integrated circuits; Clustering algorithms; Radio frequency; Temperature sensors; Wireless communication; Wireless sensor networks; Application specific integrated circuit (ASIC); RF circuits; WFCM clustering algorithm; feature evaluation; micro sensor; physiological signals of human gastrointestinal tract; wireless capsule system;
fLanguage :
English
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4545
Type :
jour
DOI :
10.1109/TBCAS.2013.2296933
Filename :
6767151
Link To Document :
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