Abstract
Ventilator-associated pneumonia (VAP) is the most frequently acquired infection among patients that receive mechanical ventilation in the intensive-care unit (ICU). The mortality rate for VAP lies in the 20-to-50% range and could be even higher in some ICUs. A standard operation procedure to VAP treatment includes a sequence of chest radiography, sputum gram stain, sputum culture, and empiric therapy, initially with antibiotics covering broad pathogens. However, collection of the gram stain and culture of lower respiratory tract specimen is usually not time-efficient (up to 5 days), delaying the initiation of therapy and unacceptable for critically ill patients. A rapid and accurate diagnosis for VAP is therefore crucial, but still unavailable. It is known that microorganisms generate complex metabolites during infection. Fast detection is feasible by examining metabolic wastes in proximal end of the expiratory device, demanding a miniaturized, battery-powered, gas-sensing device. In this work, a fully integrated low-power nose-on-a-chip with a robust learning kernel is developed for such a vital clinical need.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Solid-State Circuits Conference, ISSCC 2014 - Digest of Technical Papers |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 420-421 |
| Number of pages | 2 |
| ISBN (Print) | 9781479909186 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 61st IEEE International Solid-State Circuits Conference, ISSCC 2014 - San Francisco, CA, United States Duration: Feb 9 2014 → Feb 13 2014 |
Publication series
| Name | Digest of Technical Papers - IEEE International Solid-State Circuits Conference |
|---|---|
| Volume | 57 |
| ISSN (Print) | 0193-6530 |
Other
| Other | 2014 61st IEEE International Solid-State Circuits Conference, ISSCC 2014 |
|---|---|
| Country/Territory | United States |
| City | San Francisco, CA |
| Period | 2/9/14 → 2/13/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
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