A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases

Shao Ting Tseng, Yu Hsien Kao, Chun Chieh Peng, Jinn Yann Liu, Shao Chang Chu, Guo Feng Hong, Chi Hsuan Hsieh, Kung Tuo Hsu, Wen Te Liu, Yuan Hao Huang, Shi Yu Huang, Ta Shun Chu

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish
Article number7432046
Pages (from-to)1029-1041
Number of pages13
JournalIEEE Transactions on Microwave Theory and Techniques
Volume64
Issue number4
DOIs
Publication statusPublished - Apr 1 2016

Fingerprint

respiratory diseases
Pulmonary diseases
Radar systems
pattern recognition
radar
impulses
Feature extraction
CMOS
Radar
Transmitters
chips
transmitters
converters
waveforms
Pulse generators
receivers
Fuzzy inference
Digital to analog conversion
Digital signal processing
pulse generators

Keywords

  • Biomedical applications
  • CMOS
  • digital signal processing (DSP)
  • radar systems
  • Sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics
  • Radiation

Cite this

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.

In: IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No. 4, 7432046, 01.04.2016, p. 1029-1041.

Research output: Contribution to journalArticle

Tseng, ST, Kao, YH, Peng, CC, Liu, JY, Chu, SC, Hong, GF, Hsieh, CH, Hsu, KT, Liu, WT, Huang, YH, Huang, SY & Chu, TS 2016, 'A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases', IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 4, 7432046, pp. 1029-1041. https://doi.org/10.1109/TMTT.2016.2536029
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. / A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases. In: IEEE Transactions on Microwave Theory and Techniques. 2016 ; Vol. 64, No. 4. pp. 1029-1041.
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