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A Fully Integrated Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia

机译:快速诊断呼吸机相关性肺炎的全集成片上鼻。

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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.
机译:呼吸机相关性肺炎(VAP)仍缺乏快速诊断策略。这项研究建议在呼吸机的呼气回路的近端安装一个芯片鼻,以在早期监测和检测肺炎的代谢产物。芯片鼻采用90纳米1P9M CMOS技术进行设计和制造,以缩小气体检测系统的尺寸。该芯片具有八个片上传感器,一个自适应接口,一个逐次逼近式模数转换器(SAR ADC),一个连续受限玻尔兹曼机器(CRBM)的学习内核以及一个带有低压SRAM的RISC核。使用临床数据验证了VAP识别的功能。总共收集了76例感染肺炎的样本(19例克雷伯菌,25例铜绿假单胞菌,16例金黄色葡萄球菌和16例念珠菌)和41例未感染的样本作为实验组和对照组。结果显示,VAP识别率非常高,可识别健康和感染患者,为94.06%。实现了从VAP感染患者中鉴定克雷伯菌,铜绿假单胞菌,金黄色葡萄球菌和念珠菌的微生物的100%准确性。该芯片在0.5 V电源电压下仅消耗1.27 mW。这项工作为长期未解决的快速VAP诊断问题提供了有希望的解决方案。

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