摘要
原文 | 英語 |
---|---|
文章編號 | 7432046 |
頁(從 - 到) | 1029-1041 |
頁數 | 13 |
期刊 | IEEE Transactions on Microwave Theory and Techniques |
卷 | 64 |
發行號 | 4 |
DOIs | |
出版狀態 | 已發佈 - 四月 1 2016 |
指紋
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Radiation
引用此文
A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases. / Tseng, Shao Ting; Kao, Yu Hsien; Peng, Chun Chieh; Liu, Jinn Yann; Chu, Shao Chang; Hong, Guo Feng; Hsieh, Chi Hsuan; Hsu, Kung Tuo; Liu, Wen Te; Huang, Yuan Hao; Huang, Shi Yu; Chu, Ta Shun.
於: IEEE Transactions on Microwave Theory and Techniques, 卷 64, 編號 4, 7432046, 01.04.2016, p. 1029-1041.研究成果: 雜誌貢獻 › 文章
}
TY - JOUR
T1 - A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases
AU - Tseng, Shao Ting
AU - Kao, Yu Hsien
AU - Peng, Chun Chieh
AU - Liu, Jinn Yann
AU - Chu, Shao Chang
AU - Hong, Guo Feng
AU - Hsieh, Chi Hsuan
AU - Hsu, Kung Tuo
AU - Liu, Wen Te
AU - Huang, Yuan Hao
AU - Huang, Shi Yu
AU - Chu, Ta Shun
PY - 2016/4/1
Y1 - 2016/4/1
N2 - This paper presents a radar system for extracting human respiratory features. The proposed radar chip comprises three major components: a digital-to-time converter (DTC), a transmitter, and a receiver. The all-digital standard cell-based DTC achieves a timing resolution of 10 ps on a 100-ns time scale, supporting a range-gated sensing process. The transmitter is composed of a digital pulse generator. The receiver comprises a direct-sampling passive frontend for achieving high linearity, an integrator for enhancing the signal-to-noise ratio, and a successive approximation register analog-to-digital converter for signal quantization. A fully integrated CMOS impulse radar chip was fabricated using 65-nm CMOS technology, and the total power consumption is 21 mW. In the backend, a real-time digital signal-processing platform captures human respiratory waveforms via the radar chip and processes the waveforms by applying a human respiratory feature extraction algorithm. Furthermore, a clinical trial was conducted for establishing a new diagnosis workflow for identifying respiratory diseases by the proposed wireless sensor system. The proposed system was validated by applying an adaptive network-based fuzzy inference system and support vector machine algorithm to the clinical trial results. These algorithms confirmed the effectiveness of the proposed system in diagnosing respiratory diseases.
AB - This paper presents a radar system for extracting human respiratory features. The proposed radar chip comprises three major components: a digital-to-time converter (DTC), a transmitter, and a receiver. The all-digital standard cell-based DTC achieves a timing resolution of 10 ps on a 100-ns time scale, supporting a range-gated sensing process. The transmitter is composed of a digital pulse generator. The receiver comprises a direct-sampling passive frontend for achieving high linearity, an integrator for enhancing the signal-to-noise ratio, and a successive approximation register analog-to-digital converter for signal quantization. A fully integrated CMOS impulse radar chip was fabricated using 65-nm CMOS technology, and the total power consumption is 21 mW. In the backend, a real-time digital signal-processing platform captures human respiratory waveforms via the radar chip and processes the waveforms by applying a human respiratory feature extraction algorithm. Furthermore, a clinical trial was conducted for establishing a new diagnosis workflow for identifying respiratory diseases by the proposed wireless sensor system. The proposed system was validated by applying an adaptive network-based fuzzy inference system and support vector machine algorithm to the clinical trial results. These algorithms confirmed the effectiveness of the proposed system in diagnosing respiratory diseases.
KW - Biomedical applications
KW - CMOS
KW - digital signal processing (DSP)
KW - radar systems
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=84960540662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960540662&partnerID=8YFLogxK
U2 - 10.1109/TMTT.2016.2536029
DO - 10.1109/TMTT.2016.2536029
M3 - Article
AN - SCOPUS:84960540662
VL - 64
SP - 1029
EP - 1041
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
SN - 0018-9480
IS - 4
M1 - 7432046
ER -