DocumentCode
4864
Title
A Fully Integrated Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia
Author
Shih-Wen Chiu ; Jen-Huo Wang ; Kwuang-Han Chang ; Ting-Hau Chang ; Chia-Min Wang ; Chia-Lin Chang ; Chen-Ting Tang ; Chien-Fu Chen ; Chung-Hung Shih ; Han-Wen Kuo ; Li-Chun Wang ; Hsin Chen ; Chih-Cheng Hsieh ; Meng-Fan Chang ; Yi-Wen Liu ; Tsan-Jieh Chen
Author_Institution
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume
8
Issue
6
fYear
2014
fDate
Dec. 2014
Firstpage
765
Lastpage
778
Abstract
Ventilator-associated pneumonia (VAP) still lacks a rapid diagnostic strategy. This study proposes installing a nose-on-a-chip at the proximal end of an expiratory circuit of a ventilator to monitor and to detect metabolite of pneumonia in the early stage. The nose-on-a-chip was designed and fabricated in a 90-nm 1P9M CMOS technology in order to downsize the gas detection system. The chip has eight on-chip sensors, an adaptive interface, a successive approximation analog-to-digital converter (SAR ADC), a learning kernel of continuous restricted Boltzmann machine (CRBM), and a RISC-core with low-voltage SRAM. The functionality of VAP identification was verified using clinical data. In total, 76 samples infected with pneumonia (19 Klebsiella, 25 Pseudomonas aeruginosa, 16 Staphylococcus aureus, and 16 Candida) and 41 uninfected samples were collected as the experimental group and the control group, respectively. The results revealed a very high VAP identification rate at 94.06% for identifying healthy and infected patients. A 100% accuracy to identify the microorganisms of Klebsiella, Pseudomonas aeruginosa, Staphylococcus aureus, and Candida from VAP infected patients was achieved. This chip only consumes 1.27 mW at a 0.5 V supply voltage. This work provides a promising solution for the long-term unresolved rapid VAP diagnostic problem.
Keywords
Boltzmann machines; CMOS integrated circuits; analogue-digital conversion; diseases; electronic noses; lab-on-a-chip; low-power electronics; medical diagnostic computing; microorganisms; patient diagnosis; patient monitoring; 1P9M CMOS technology; CRBM; Candida; Klebsiella; Pseudomonas aeruginosa; RISC-core; SAR ADC; Staphylococcus aureus; VAP identification functionality; VAP identification rate; adaptive interface; clinical data; continuous restricted Boltzmann machine; expiratory circuit; fully integrated nose-on-a-chip; gas detection system; learning kernel; long-term unresolved rapid VAP diagnostic problem; low-voltage SRAM; metabolite detection; metabolite monitoring; microorganisms; on-chip sensors; power 1.27 mW; rapid diagnostic strategy; successive approximation analog-to-digital converter; ventilator-associated pneumonia; voltage 0.5 V; Gas detectors; Medical diagnosis; Patient monitoring; Continuous restricted Boltzmann machine (CRBM); gas classification; nose-on-a-chip; ventilator-associated pneumonia (VAP);
fLanguage
English
Journal_Title
Biomedical Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
1932-4545
Type
jour
DOI
10.1109/TBCAS.2014.2377754
Filename
7001719
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