1. A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases.
- Author
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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, and Chu, Ta-Shun
- Subjects
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COMPLEMENTARY metal oxide semiconductors , *RESPIRATORY disease diagnosis , *BIOMEDICAL engineering , *DIGITAL signal processing , *RADAR , *DETECTORS - Abstract
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. [ABSTRACT FROM PUBLISHER]
- Published
- 2016
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