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 (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
發行者Institute of Electrical and Electronics Engineers Inc.
頁面251-254
頁數4
2015-November
ISBN(電子)9781479976416
DOIs
出版狀態已發佈 - 十一月 25 2015
事件IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 - Phoenix, 美国
持續時間: 五月 17 2015五月 19 2015

其他

其他IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
國家美国
城市Phoenix
期間5/17/155/19/15

指紋

Feature extraction
Radar
Sensors
Scanning
Pulmonary diseases
Pulse generators
Electric power utilization
Monitoring

ASJC Scopus subject areas

  • Engineering(all)

引用此文

Tseng, S. T., Kao, Y. H., Peng, C. C., Liu, J. Y., Chu, S. C., Hong, G. F., ... Chu, T. S. (2015). A 65nm CMOS low power impulse radar for respiratory feature extraction. 於 Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 (卷 2015-November, 頁 251-254). [7337752] 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; 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.

Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 卷 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 251-254 7337752.

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 Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 卷 2015-November, 7337752, 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 Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 卷 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 251-254. 7337752 https://doi.org/10.1109/RFIC.2015.7337752
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 65nm CMOS low power impulse radar for respiratory feature extraction. Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015. 卷 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. 頁 251-254
@inproceedings{bfac1cad2fc240948d692d1b7c0517e4,
title = "A 65nm CMOS low power impulse radar for respiratory feature extraction",
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.",
keywords = "CMOS, DSP, human respiratory feature extraction algorithm, impulse radar, wireless sensor",
author = "Tseng, {Shao Ting} and Kao, {Yu Hsien} and Peng, {Chun Chieh} and Liu, {Jinn Yann} and Chu, {Shao Chang} and Hong, {Guo Feng} and Hsieh, {Chi Hsuan} and Hsu, {Kung Tuo} and Wen-Te Liu and Huang, {Yuan Hao} and Huang, {Shi Yu} and Chu, {Ta Shun}",
year = "2015",
month = "11",
day = "25",
doi = "10.1109/RFIC.2015.7337752",
language = "English",
volume = "2015-November",
pages = "251--254",
booktitle = "Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - A 65nm CMOS low power impulse radar for respiratory feature extraction

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 - 2015/11/25

Y1 - 2015/11/25

N2 - 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.

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.

KW - CMOS

KW - DSP

KW - human respiratory feature extraction algorithm

KW - impulse radar

KW - wireless sensor

UR - http://www.scopus.com/inward/record.url?scp=84975774436&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84975774436&partnerID=8YFLogxK

U2 - 10.1109/RFIC.2015.7337752

DO - 10.1109/RFIC.2015.7337752

M3 - Conference contribution

AN - SCOPUS:84975774436

VL - 2015-November

SP - 251

EP - 254

BT - Proceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -