A Fully Integrated Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia
| Autor: | Yi-Wen Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Jen-Huo Wang, Chia-Lin Chang, Han-Wen Kuo, Meng-Fan Chang, Herming Chiueh, Kwuang-Han Chang, Tsan-Jieh Chen, Ting-Hau Chang, Chia-Hsiang Yang, Chen-Ting Tang, Chia-Min Wang, C. Shih, Hsin Chen, Li Chun Wang, Shih-Wen Chiu, Chien-Fu Chen, Juyo-Min Shyu |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Klebsiella
Biomedical Engineering medicine.disease_cause Microbiology Pneumonia Bacterial medicine Humans Electrical and Electronic Engineering Electronic Nose Nose biology Pseudomonas aeruginosa business.industry Candidiasis Ventilator-associated pneumonia Pneumonia Ventilator-Associated Successive approximation ADC Chip biology.organism_classification medicine.disease respiratory tract diseases Pneumonia medicine.anatomical_structure Breath Tests Staphylococcus aureus business Computer hardware |
| Zdroj: | IEEE Transactions on Biomedical Circuits and Systems. 8:765-778 |
| ISSN: | 1940-9990 1932-4545 |
| DOI: | 10.1109/tbcas.2014.2377754 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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