A 65nm CMOS low power impulse radar for respiratory feature extraction

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

doi:10.1109/RFIC.2015.7337752

A 65nm CMOS low power impulse radar for respiratory feature extraction

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: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

This paper presents a wireless sensor system for monitoring human respiratory activities. The sensor is composed of a fully-integrated CMOS impulse radar chip and a DSP platform that is used for human respiratory feature extraction. The proposed and implemented radar chip was fabricated using in the TSMC 65nm CMOS technology. It can achieve the 1.5mm scanning resolution over the 15m scanning range with total 21mW power consumption. Moreover, the timing circuitry supporting range gated sensing and the pulse generator are all digital standard cell-based design which is very favorable to the technology scaling. The real-time DSP platform captures the wireless data via the CMOS radar chip and processes that through a human respiratory feature extraction algorithm. The entire system can fully operate to validate the performance of the wireless sensor system. Furthermore, the clinical trial was carried on and the system was proved helpful in rapid screen for respiratory diseases.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
Editors	Domine Leenaerts
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	251-254
Number of pages	4
ISBN (Electronic)	9781479976416
DOIs	https://doi.org/10.1109/RFIC.2015.7337752
Publication status	Published - Nov 25 2015
Event	IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 - Phoenix, United States Duration: May 17 2015 → May 19 2015

Publication series

Name	Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium
Volume	2015-November
ISSN (Print)	1529-2517

Other

Other	IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
Country/Territory	United States
City	Phoenix
Period	5/17/15 → 5/19/15

Keywords

CMOS
DSP
human respiratory feature extraction algorithm
impulse radar
wireless sensor

ASJC Scopus subject areas

General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/RFIC.2015.7337752

Cite this

Tseng, S. T., Kao, Y. H., Peng, C. C., Liu, J. Y., Chu, S. C., Hong, G. F., Hsieh, C. H., Hsu, K. T., Liu, W.-T., Huang, Y. H., Huang, S. Y., & Chu, T. S. (2015). A 65nm CMOS low power impulse radar for respiratory feature extraction. In D. Leenaerts (Ed.), Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 (pp. 251-254). Article 7337752 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RFIC.2015.7337752

A 65nm CMOS low power impulse radar for respiratory feature extraction. / Tseng, Shao Ting; Kao, Yu Hsien; Peng, Chun Chieh et al.
Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. ed. / Domine Leenaerts. Institute of Electrical and Electronics Engineers Inc., 2015. p. 251-254 7337752 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium; Vol. 2015-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tseng, ST, Kao, YH, Peng, CC, Liu, JY, Chu, SC, Hong, GF, Hsieh, CH, Hsu, KT, Liu, W-T, Huang, YH, Huang, SY & Chu, TS 2015, A 65nm CMOS low power impulse radar for respiratory feature extraction. in D Leenaerts (ed.), Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015., 7337752, Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 251-254, IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015, Phoenix, United States, 5/17/15. https://doi.org/10.1109/RFIC.2015.7337752

Tseng ST, Kao YH, Peng CC, Liu JY, Chu SC, Hong GF et al. A 65nm CMOS low power impulse radar for respiratory feature extraction. In Leenaerts D, editor, Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 251-254. 7337752. (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium). doi: 10.1109/RFIC.2015.7337752

Tseng, Shao Ting ; Kao, Yu Hsien ; Peng, Chun Chieh et al. / A 65nm CMOS low power impulse radar for respiratory feature extraction. Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. editor / Domine Leenaerts. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 251-254 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium).

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AB - This paper presents a wireless sensor system for monitoring human respiratory activities. The sensor is composed of a fully-integrated CMOS impulse radar chip and a DSP platform that is used for human respiratory feature extraction. The proposed and implemented radar chip was fabricated using in the TSMC 65nm CMOS technology. It can achieve the 1.5mm scanning resolution over the 15m scanning range with total 21mW power consumption. Moreover, the timing circuitry supporting range gated sensing and the pulse generator are all digital standard cell-based design which is very favorable to the technology scaling. The real-time DSP platform captures the wireless data via the CMOS radar chip and processes that through a human respiratory feature extraction algorithm. The entire system can fully operate to validate the performance of the wireless sensor system. Furthermore, the clinical trial was carried on and the system was proved helpful in rapid screen for respiratory diseases.

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A 65nm CMOS low power impulse radar for respiratory feature extraction

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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