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Content Provider | IEEE Xplore Digital Library |
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Author | Haitao Li Xiaoyi Mu Zhe Wang Xiaowen Liu Min Guo Rong Jin Xiangqun Zeng Mason, A.J. |
Copyright Year | 2012 |
Description | Author affiliation: Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA (Haitao Li; Xiaoyi Mu; Xiaowen Liu; Rong Jin; Mason, A.J.) || Chem. Dept., Oakland Univ., Rochester, MI, USA (Zhe Wang; Min Guo; Xiangqun Zeng) |
Abstract | Airborne pollution and explosive gases threaten human health and occupational safety, therefore generating high demand for a wearable autonomous multi-analyte gas sensor system for real-time environmental monitoring. This paper presents a system level solution through synergistic integration of sensors, electronics, and data analysis algorithms. Electrochemical sensors featuring ionic liquids were chosen to provide low-power room-temperature operation, rapid response, high sensitivity, good selectivity, and a long operating life with low maintenance. The system utilizes a multi-mode electrochemical instrumentation circuit that combines all signal condition functions within a single microelectronics chip to minimize system cost, size and power consumption. Embedded sensor array signal processing algorithms enable gas classification and concentration estimation within a real-world mixture of analytes. System design and integration methodologies are described, and preliminary results are shown for a first generation $SO_{2}$ sensor and a thumb-drive sized prototype system. |
Sponsorship | IEEE Eng. Medicine Biol. Soc. |
Starting Page | 503 |
Ending Page | 506 |
File Size | 793707 |
Page Count | 4 |
File Format | |
ISBN | 9781424441198 |
ISSN | 1557170X |
e-ISBN | 9781457717871 |
DOI | 10.1109/EMBC.2012.6345978 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-28 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Gas detectors Sensor arrays Gases Real-time systems Sensor systems |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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