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Design of a 0.5 V 1.68mW nose-on-a-chip for rapid screen of chronic obstructive pulmonary disease
- Source :
- BioCAS
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Chronic obstructive pulmonary disease (COPD) still lacks a rapid diagnosis strategy. In this paper, we propose a low-power nose-on-a-chip for rapid COPD screening. This chip is designed for implementation in a personal handheld device that detects patient breath for COPD diagnosis. The chip has 36 on-chip sensors, a 36-channel adaptive interface with an integrated programmable amplifier, a four-channel frequency readout interface, one on-chip temperature sensor, a two-channel successive approximation analog-to-digital converter, a scalable learning kernel cluster, and a reduced instruction set computing core with low-voltage static random-access memory. This chip is fabricated in 90 nm CMOS and consumes 1.68 mW at 0.5 V. In simulation, the system distinguished between undiseased and diseased patients with 90.82% accuracy for a set of diseases including COPD and asthma and exhibited 92.31% accuracy for identifying patients with COPD or asthma. The system classified severity levels of COPD under four labels (normal, mild, moderate, and severe) with 92.00% accuracy. Accordingly, this work provides a promising solution for the unmet medical need of rapid COPD screening.
- Subjects :
- medicine.medical_specialty
COPD
Reduced instruction set computing
business.industry
Interface (computing)
020208 electrical & electronic engineering
Pulmonary disease
02 engineering and technology
021001 nanoscience & nanotechnology
medicine.disease
Chip
respiratory tract diseases
medicine.anatomical_structure
Internal medicine
0202 electrical engineering, electronic engineering, information engineering
medicine
Electronic engineering
Cardiology
0210 nano-technology
business
Nose
Asthma
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)
- Accession number :
- edsair.doi...........8664e11303f3188d6110fe9713ddf861