MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI

Pin Jen Lai; Yu Shun Zhan; Wei Lien Yeh; Meng Lin Ku; Chih Min Yu

doi:10.1109/UEMCON54665.2022.9965699

MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI

Pin Jen Lai, Yu Shun Zhan, Wei Lien Yeh, Meng Lin Ku, Chih Min Yu

Department of Communication Engineering

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

1 Scopus citations

Abstract

Since channel state information (CSI) data can be utilized to sense the subtle changes in the environment, such as chest movement, we provide the analysis of CSI amplitude and phase as a basis for estimating breathing rates. In this paper, a breathing rate monitoring system is proposed, in which CSI data is collected with Intel Wi-Fi Link 5300 wireless network interface card (NIC) and Linux 802.11n CSI Tool [1]. To this end, an antenna and subcarrier selection method is proposed to select those CSIs which are sensitive to respiratory thoracic changes. Furthermore, multiple signal classification (MUSIC) is applied as our research method in the estimation of breathing rates. Extensive experiments are conducted to validate the effectiveness of the proposed system. Our experimental results demonstrate that the proposed system can not only effectively distinguish the breathing state differences of fast, slow, and apnea but also achieve a certain accuracy in the calculation of the breathing rates.

Original language	English
Title of host publication	2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022
Editors	Satyajit Chakrabarti, Rajashree Paul
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	380-384
Number of pages	5
ISBN (Electronic)	9781665492997
DOIs	https://doi.org/10.1109/UEMCON54665.2022.9965699
State	Published - 2022
Event	13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022 - Virtual, Online, United States Duration: 26 Oct 2022 → 29 Oct 2022

Publication series

Name	2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022

Conference

Conference	13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022
Country/Territory	United States
City	Virtual, Online
Period	26/10/22 → 29/10/22

Keywords

Breathing rate
channel state information
multiple signal classification
Wi-Fi

Access to Document

10.1109/UEMCON54665.2022.9965699

6G三維通訊下分波束多重接取之預編碼及資源管理優化研究(3/3)
Ku, M.-L. (PI)
1/08/24 → 31/07/25
Project: Research

Cite this

Lai, P. J., Zhan, Y. S., Yeh, W. L., Ku, M. L., & Yu, C. M. (2022). MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI. In S. Chakrabarti, & R. Paul (Eds.), 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022 (pp. 380-384). (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON54665.2022.9965699

Lai, Pin Jen ; Zhan, Yu Shun ; Yeh, Wei Lien et al. / MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. editor / Satyajit Chakrabarti ; Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 380-384 (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022).

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abstract = "Since channel state information (CSI) data can be utilized to sense the subtle changes in the environment, such as chest movement, we provide the analysis of CSI amplitude and phase as a basis for estimating breathing rates. In this paper, a breathing rate monitoring system is proposed, in which CSI data is collected with Intel Wi-Fi Link 5300 wireless network interface card (NIC) and Linux 802.11n CSI Tool [1]. To this end, an antenna and subcarrier selection method is proposed to select those CSIs which are sensitive to respiratory thoracic changes. Furthermore, multiple signal classification (MUSIC) is applied as our research method in the estimation of breathing rates. Extensive experiments are conducted to validate the effectiveness of the proposed system. Our experimental results demonstrate that the proposed system can not only effectively distinguish the breathing state differences of fast, slow, and apnea but also achieve a certain accuracy in the calculation of the breathing rates.",

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author = "Lai, {Pin Jen} and Zhan, {Yu Shun} and Yeh, {Wei Lien} and Ku, {Meng Lin} and Yu, {Chih Min}",

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Lai, PJ, Zhan, YS, Yeh, WL, Ku, ML & Yu, CM 2022, MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI. in S Chakrabarti & R Paul (eds), 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022, Institute of Electrical and Electronics Engineers Inc., pp. 380-384, 13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022, Virtual, Online, United States, 26/10/22. https://doi.org/10.1109/UEMCON54665.2022.9965699

MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI. / Lai, Pin Jen; Zhan, Yu Shun; Yeh, Wei Lien et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. ed. / Satyajit Chakrabarti; Rajashree Paul. Institute of Electrical and Electronics Engineers Inc., 2022. p. 380-384 (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022).

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

TY - GEN

T1 - MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI

AU - Lai, Pin Jen

AU - Zhan, Yu Shun

AU - Yeh, Wei Lien

AU - Ku, Meng Lin

AU - Yu, Chih Min

PY - 2022

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N2 - Since channel state information (CSI) data can be utilized to sense the subtle changes in the environment, such as chest movement, we provide the analysis of CSI amplitude and phase as a basis for estimating breathing rates. In this paper, a breathing rate monitoring system is proposed, in which CSI data is collected with Intel Wi-Fi Link 5300 wireless network interface card (NIC) and Linux 802.11n CSI Tool [1]. To this end, an antenna and subcarrier selection method is proposed to select those CSIs which are sensitive to respiratory thoracic changes. Furthermore, multiple signal classification (MUSIC) is applied as our research method in the estimation of breathing rates. Extensive experiments are conducted to validate the effectiveness of the proposed system. Our experimental results demonstrate that the proposed system can not only effectively distinguish the breathing state differences of fast, slow, and apnea but also achieve a certain accuracy in the calculation of the breathing rates.

AB - Since channel state information (CSI) data can be utilized to sense the subtle changes in the environment, such as chest movement, we provide the analysis of CSI amplitude and phase as a basis for estimating breathing rates. In this paper, a breathing rate monitoring system is proposed, in which CSI data is collected with Intel Wi-Fi Link 5300 wireless network interface card (NIC) and Linux 802.11n CSI Tool [1]. To this end, an antenna and subcarrier selection method is proposed to select those CSIs which are sensitive to respiratory thoracic changes. Furthermore, multiple signal classification (MUSIC) is applied as our research method in the estimation of breathing rates. Extensive experiments are conducted to validate the effectiveness of the proposed system. Our experimental results demonstrate that the proposed system can not only effectively distinguish the breathing state differences of fast, slow, and apnea but also achieve a certain accuracy in the calculation of the breathing rates.

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022

Y2 - 26 October 2022 through 29 October 2022

ER -

Lai PJ, Zhan YS, Yeh WL, Ku ML, Yu CM. MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI. In Chakrabarti S, Paul R, editors, 2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 380-384. (2022 IEEE 13th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2022). doi: 10.1109/UEMCON54665.2022.9965699

MUSIC-Based Breathing Rate Monitoring Using Wi-Fi CSI

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6G三維通訊下分波束多重接取之預編碼及資源管理優化研究(3/3)

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