Cardiac sensing exploiting an ultra-wideband terahertz sensing system

Yu Rong; Panagiotis C. Theofanopoulos; Georgios C. Trichopoulos; Daniel W. Bliss

doi:10.1109/RADAR42522.2020.9114685

Cardiac sensing exploiting an ultra-wideband terahertz sensing system

Yu Rong, Panagiotis C. Theofanopoulos, Georgios C. Trichopoulos, Daniel W. Bliss

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

14 Scopus citations

Abstract

In this paper, we present a novel ultra-wideband (UWB) Terahertz (THz) sensing system for cardiac monitoring and we extract cardiac pulse information from various peripheral body parts by analyzing heartbeat-related skin motions and body motions. Using our system, we demonstrate improved cardiac measurement performance by exploiting unique THz spectral features, narrow focused beam, large signaling bandwidth and superior phase sensitivity, compared to previous results on cardiac measurement. Additionally, we conduct correlation based analysis and show that the Terahertz pulse measure is highly correlated with the contact pulse reference. We compare the estimated heart rates against the reference rates to show accuracy.

Original language	English (US)
Title of host publication	2020 IEEE International Radar Conference, RADAR 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1002-1006
Number of pages	5
ISBN (Electronic)	9781728168128
DOIs	https://doi.org/10.1109/RADAR42522.2020.9114685
State	Published - Apr 2020
Event	2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States Duration: Apr 28 2020 → Apr 30 2020

Publication series

Name	2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference	2020 IEEE International Radar Conference, RADAR 2020
Country/Territory	United States
City	Washington
Period	4/28/20 → 4/30/20

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

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10.1109/RADAR42522.2020.9114685

Cite this

Rong, Y., Theofanopoulos, P. C., Trichopoulos, G. C., & Bliss, D. W. (2020). Cardiac sensing exploiting an ultra-wideband terahertz sensing system. In 2020 IEEE International Radar Conference, RADAR 2020 (pp. 1002-1006). Article 09114685 (2020 IEEE International Radar Conference, RADAR 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR42522.2020.9114685

Cardiac sensing exploiting an ultra-wideband terahertz sensing system. / Rong, Yu; Theofanopoulos, Panagiotis C.; Trichopoulos, Georgios C. et al.
2020 IEEE International Radar Conference, RADAR 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1002-1006 09114685 (2020 IEEE International Radar Conference, RADAR 2020).

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

Rong, Y, Theofanopoulos, PC, Trichopoulos, GC & Bliss, DW 2020, Cardiac sensing exploiting an ultra-wideband terahertz sensing system. in 2020 IEEE International Radar Conference, RADAR 2020., 09114685, 2020 IEEE International Radar Conference, RADAR 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1002-1006, 2020 IEEE International Radar Conference, RADAR 2020, Washington, United States, 4/28/20. https://doi.org/10.1109/RADAR42522.2020.9114685

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title = "Cardiac sensing exploiting an ultra-wideband terahertz sensing system",

abstract = "In this paper, we present a novel ultra-wideband (UWB) Terahertz (THz) sensing system for cardiac monitoring and we extract cardiac pulse information from various peripheral body parts by analyzing heartbeat-related skin motions and body motions. Using our system, we demonstrate improved cardiac measurement performance by exploiting unique THz spectral features, narrow focused beam, large signaling bandwidth and superior phase sensitivity, compared to previous results on cardiac measurement. Additionally, we conduct correlation based analysis and show that the Terahertz pulse measure is highly correlated with the contact pulse reference. We compare the estimated heart rates against the reference rates to show accuracy.",

author = "Yu Rong and Theofanopoulos, {Panagiotis C.} and Trichopoulos, {Georgios C.} and Bliss, {Daniel W.}",

note = "Funding Information: This work was supported in part by Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe. Publisher Copyright: {\textcopyright} 2020 IEEE; 2020 IEEE International Radar Conference, RADAR 2020 ; Conference date: 28-04-2020 Through 30-04-2020",

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language = "English (US)",

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N2 - In this paper, we present a novel ultra-wideband (UWB) Terahertz (THz) sensing system for cardiac monitoring and we extract cardiac pulse information from various peripheral body parts by analyzing heartbeat-related skin motions and body motions. Using our system, we demonstrate improved cardiac measurement performance by exploiting unique THz spectral features, narrow focused beam, large signaling bandwidth and superior phase sensitivity, compared to previous results on cardiac measurement. Additionally, we conduct correlation based analysis and show that the Terahertz pulse measure is highly correlated with the contact pulse reference. We compare the estimated heart rates against the reference rates to show accuracy.

AB - In this paper, we present a novel ultra-wideband (UWB) Terahertz (THz) sensing system for cardiac monitoring and we extract cardiac pulse information from various peripheral body parts by analyzing heartbeat-related skin motions and body motions. Using our system, we demonstrate improved cardiac measurement performance by exploiting unique THz spectral features, narrow focused beam, large signaling bandwidth and superior phase sensitivity, compared to previous results on cardiac measurement. Additionally, we conduct correlation based analysis and show that the Terahertz pulse measure is highly correlated with the contact pulse reference. We compare the estimated heart rates against the reference rates to show accuracy.

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Cardiac sensing exploiting an ultra-wideband terahertz sensing system

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