Browsing by Author "Hsieh, Chih-Cheng"

Now showing 1 - 8 of 8

A 0.5V 1.27mW Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia
(2014-01-01)
Tang, Kea-Tiong
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Chiu, Shih-Wen
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Shih, Chung-Hung
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Chang, Chia-Ling
;
Yang, Chia-Min
A 1-V 2.6-mW Environmental Compensated Fully Integrated Nose-on-a-Chip
(2018-10-01)
Chou, Ting-I
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Chang, Kwuang-Han
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Jhang, Jia-Yin
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Chiu, Shih-Wen
;
Wang, Guoxing
Miniature gas detection system is desirable for many applications. In this brief, we propose a fully integrated nose-on-a-chip for mobile phones and wearable devices. 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 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 using the TSMC 180-nm CMOS process and consumes 2.6 mW at 1 V. on-chip temperature and humidity sensors are included in this system for acquiring environmental information. An environmental compensation algorithm based on common principal components analysis is also implemented for high-accuracy odor classification. This fully integrated nose-on-a-chip provides promising results for odor detection and classification for use in mobile and wearable device applications.
A Fully Integrated Nose-on-a-Chip for Rapid Diagnosis of Ventilator-Associated Pneumonia
(2014-12-01)
Chiu, Shih-Wen
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Wang, Jen-Huo
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Chang, Kwuang-Han
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Chang, Ting-Hau
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Wang, Chia-Min
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.
Design of a 0.5V 1.68mW Nose-on-a-Chip for Rapid Screen of Chronic Obstructive Pulmonary Disease
(2016-01-01)
Chou, Ting-I
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Chiu, Shih-Wen
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Chang, Kwuang-Han
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Chen, Yi-Ju
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Tang, Chen-Ting
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.
Development of a Multisite, Closed-loop Neuromodulator for the Theranosis of Neural Degenerative Diseases
(2018-01-01)
Chen, Hsin
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Chang, Yen-Chung
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Yeh, Shih-Rung
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Hsieh, Chih-Cheng
;
Tang, Kea-Tiong
Stimulating specific brain regions has been found useful for treating neural disorders, such as the Parkinson's disease, epilepsy, depression, etc. However, how electrical stimulation modulates neural activities remains not fully understood. As animal models provide the advantage of recording and stimulating different disease-related regions simultaneously, this paper introduces the latest development of a multisite, closed-loop-controlled microsystem for investigating novel treatments on neural degenerative diseases with freely-moving rats. The algorithms for recognizing pathological neural activities automatically are also developed and realized in hardware, so as to control the stimulation in a closed loop and in real time. The pilot studies on the efficacy of treating the Parkinson's disease with closed-loop-controlled stimulation will be presented and discussed. Finally, the feasibility of modelling and probing how neural dynamics and connectivity are modulated by stimulation will be an important topic for future research.
High Definition Image Pre-Processing System for Multi-Stripe Satellites' Image Sensors
(2012-09-01)
Chen, Tsan-Jieh
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Chiueh, Herming
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Hsieh, Chih-Cheng
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Yin, Chin
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Chang, Wen-Hsu
"High-resolution image sensors play an important role in today's satellites' remote sensing applications. This paper presents an image recombination and processing system for one-dimensional multi-strip complementary metal-oxide semiconductor image sensors (CISs.) The proposed system takes advantage of the satellites' linear moving property to control the exposure time of CIS and provides the real-time ability to generate 11 200 x N high-resolution images for satellites' remote sensing. Using hardware accelerators coupled with versatile microprocessors, the architecture is able to offer processing capability as well as long-term maintainability for space-borne platforms. The details of hardware design to meet real-time requirement are presented. The prototype, which contains four strip CISs and field programmable gate array-based prototyping, was implemented to verify functionality and capability of real-time image acquisition and combination. The implementation results show that it is feasible to integrate the proposed system into a single chip."
Live Demonstration: The Prototype of Real-Time Image Pre-Processing System for Satellites' Remote Sensing
(2011)
Chen, Tsan-Jieh
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Weng, Chih-Hui
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Chiueh, Herming
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Hsieh, Chih-Cheng
;
Yeh, Shang-Fu
the live demonstration shows the prototype of image recombination and processing system for one-dimensional multi-strip CMOS image sensors (CISs.) The proposed final system is discussed in the main paper, which takes advantage of the satellites' linear moving property to control the exposure time of CIS and provides the real-time ability to generate 11,200 x N high-resolution image for satellites' remote sensing applications. The prototype, which contains four strip CISs, is implemented to verify functionality and capability of real-time image acquisition and combination. The implementation result shows the proposed system, which demands four times larger throughput than the prototype, is feasible in a chip.
The Prototype of Real-Time Image Pre-Processing System for Satellites' Remote Sensing
(2011)
Chen, Tsan-Jieh
;
Weng, Chih-Hui
;
Chiueh, Herming
;
Hsieh, Chih-Cheng
;
Yeh, Shang-Fu
high resolution image combination and processing plays an important role in today's satellites' remote sensing applications. This paper presents an image recombination and processing system for one-dimensional multi-strip CMOS image sensors (CISs.) The proposed system takes advantage of the satellites' linear moving property to control the exposure time of CIS and provides the real-time ability to generate 11,200 x N high-resolution image for satellites' remote sensing applications. The details of hardware design to meet real-time requirement are given out. The prototype, which contains four strip CISs, is implemented to verify functionality and capability of real-time image acquisition and combination. The implementation results show the proposed system, which demands four times larger throughput than the prototype, is feasible in a chip.