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

研究成果: 書貢獻/報告類型 › 會議貢獻

4 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
編輯	Domine Leenaerts
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	251-254
頁數	4
ISBN（電子）	9781479976416
DOIs	https://doi.org/10.1109/RFIC.2015.7337752
出版狀態	已發佈 - 11月 25 2015
事件	IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 - Phoenix, 美国持續時間: 5月 17 2015 → 5月 19 2015

出版系列

名字	Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium
卷	2015-November
ISSN（列印）	1529-2517

其他

其他	IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
國家/地區	美国
城市	Phoenix
期間	5/17/15 → 5/19/15

ASJC Scopus subject areas

工程 (全部)

UN SDG

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存取文件

10.1109/RFIC.2015.7337752

其它文件與鏈接

引用此

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. 於 D. Leenaerts (編輯), Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 (頁 251-254). 文章 7337752 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium; 卷 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 等.
Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 編輯 / Domine Leenaerts. Institute of Electrical and Electronics Engineers Inc., 2015. p. 251-254 7337752 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium; 卷 2015-November).

研究成果: 書貢獻/報告類型 › 會議貢獻

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. 於 D Leenaerts (編輯), Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015., 7337752, Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium, 卷 2015-November, Institute of Electrical and Electronics Engineers Inc., 頁 251-254, IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015, Phoenix, 美国, 5/17/15. https://doi.org/10.1109/RFIC.2015.7337752

Tseng ST, Kao YH, Peng CC, Liu JY, Chu SC, Hong GF 等. A 65nm CMOS low power impulse radar for respiratory feature extraction. 於 Leenaerts D, 編輯, 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 等. / A 65nm CMOS low power impulse radar for respiratory feature extraction. Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 編輯 / Domine Leenaerts. Institute of Electrical and Electronics Engineers Inc., 2015. 頁 251-254 (Digest of Papers - IEEE Radio Frequency Integrated Circuits Symposium).

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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.",

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AU - Chu, Shao Chang

AU - Hong, Guo Feng

AU - Hsieh, Chi Hsuan

AU - Hsu, Kung Tuo

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AU - Huang, Yuan Hao

AU - Huang, Shi Yu

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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

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UN SDG

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