Radar-based blood pressure estimation using multiple features

Haotian Shi; Jiasheng Pan; Zhi Zheng; Bo Wang; Cheng Shen; Yongxin Guo

doi:10.1109/IMBioC52515.2022.9790124

Radar-based blood pressure estimation using multiple features

Haotian Shi
, Jiasheng Pan
, Zhi Zheng
, Bo Wang
, Cheng Shen
, Yongxin Guo^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

30 Citations (Scopus)

Abstract

This paper presents a non-contact blood pressure measurement model based on the random forest algorithm and arterial pulse waveform detected by radar. After the radar signal is pre-processed with filtering and smoothing methods, feature parameters of arterial pulse waves are automatically extracted, and correlation analysis is conducted to further explore the relationship between feature parameters and blood pressure. Then, a blood pressure regression model based on the random forest is established. Compared with the reference blood pressure obtained by a sphygmomanometer, the DBP error of this model is 0.22 ± 3.85 mmHg(Mean Difference ± Standard Deviation), and the SBP error is 2.52 ± 6.73mmHg(Mean Difference ± Standard Deviation), which proves this method can effectively measure blood pressure by using a single radar in a non-contact state. © 2022 IEEE.

Original language	English
Title of host publication	2022 IEEE MTT-S International Microwave Biomedical Conference (IEEE IMBioC 2022)
Publisher	IEEE
Pages	183-185
ISBN (Electronic)	9781665423403
ISBN (Print)	9781665423410
DOIs	https://doi.org/10.1109/IMBioC52515.2022.9790124
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022) - Virtual, Suzhou, China Duration: 16 May 2022 → 18 May 2022 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9790154 https://www.nusri.cn/IMBioC2022/index.html

Publication series

Name	IEEE MTT-S International Microwave Biomedical Conference, IMBioC

Conference

Conference	2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022)
Abbreviated title	IEEE IMBioC 2022
Place	China
City	Suzhou
Period	16/05/22 → 18/05/22
Internet address	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9790154 https://www.nusri.cn/IMBioC2022/index.html

Research Keywords

correlation analysis
feature parameters of arterial pulse wave
non-contact blood pressure measurement
single radar

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10.1109/IMBioC52515.2022.9790124

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Cite this

@inproceedings{024b32e0df3b47a88f5a9b9ae905d77b,

title = "Radar-based blood pressure estimation using multiple features",

abstract = "This paper presents a non-contact blood pressure measurement model based on the random forest algorithm and arterial pulse waveform detected by radar. After the radar signal is pre-processed with filtering and smoothing methods, feature parameters of arterial pulse waves are automatically extracted, and correlation analysis is conducted to further explore the relationship between feature parameters and blood pressure. Then, a blood pressure regression model based on the random forest is established. Compared with the reference blood pressure obtained by a sphygmomanometer, the DBP error of this model is 0.22 ± 3.85 mmHg(Mean Difference ± Standard Deviation), and the SBP error is 2.52 ± 6.73mmHg(Mean Difference ± Standard Deviation), which proves this method can effectively measure blood pressure by using a single radar in a non-contact state. {\textcopyright} 2022 IEEE.",

keywords = "correlation analysis, feature parameters of arterial pulse wave, non-contact blood pressure measurement, single radar",

author = "Haotian Shi and Jiasheng Pan and Zhi Zheng and Bo Wang and Cheng Shen and Yongxin Guo",

year = "2022",

doi = "10.1109/IMBioC52515.2022.9790124",

language = "English",

isbn = "9781665423410",

series = "IEEE MTT-S International Microwave Biomedical Conference, IMBioC",

publisher = "IEEE",

pages = "183--185",

booktitle = "2022 IEEE MTT-S International Microwave Biomedical Conference (IEEE IMBioC 2022)",

address = "United States",

note = "2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022), IEEE IMBioC 2022 ; Conference date: 16-05-2022 Through 18-05-2022",

url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=9790154, https://www.nusri.cn/IMBioC2022/index.html",

}

Shi, H, Pan, J, Zheng, Z, Wang, B, Shen, C & Guo, Y 2022, Radar-based blood pressure estimation using multiple features. in 2022 IEEE MTT-S International Microwave Biomedical Conference (IEEE IMBioC 2022). IEEE MTT-S International Microwave Biomedical Conference, IMBioC, IEEE, pp. 183-185, 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022), Suzhou, China, 16/05/22. https://doi.org/10.1109/IMBioC52515.2022.9790124

Radar-based blood pressure estimation using multiple features. / Shi, Haotian; Pan, Jiasheng; Zheng, Zhi et al.
2022 IEEE MTT-S International Microwave Biomedical Conference (IEEE IMBioC 2022). IEEE, 2022. p. 183-185 (IEEE MTT-S International Microwave Biomedical Conference, IMBioC).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Radar-based blood pressure estimation using multiple features

AU - Shi, Haotian

AU - Pan, Jiasheng

AU - Zheng, Zhi

AU - Wang, Bo

AU - Shen, Cheng

AU - Guo, Yongxin

PY - 2022

Y1 - 2022

N2 - This paper presents a non-contact blood pressure measurement model based on the random forest algorithm and arterial pulse waveform detected by radar. After the radar signal is pre-processed with filtering and smoothing methods, feature parameters of arterial pulse waves are automatically extracted, and correlation analysis is conducted to further explore the relationship between feature parameters and blood pressure. Then, a blood pressure regression model based on the random forest is established. Compared with the reference blood pressure obtained by a sphygmomanometer, the DBP error of this model is 0.22 ± 3.85 mmHg(Mean Difference ± Standard Deviation), and the SBP error is 2.52 ± 6.73mmHg(Mean Difference ± Standard Deviation), which proves this method can effectively measure blood pressure by using a single radar in a non-contact state. © 2022 IEEE.

AB - This paper presents a non-contact blood pressure measurement model based on the random forest algorithm and arterial pulse waveform detected by radar. After the radar signal is pre-processed with filtering and smoothing methods, feature parameters of arterial pulse waves are automatically extracted, and correlation analysis is conducted to further explore the relationship between feature parameters and blood pressure. Then, a blood pressure regression model based on the random forest is established. Compared with the reference blood pressure obtained by a sphygmomanometer, the DBP error of this model is 0.22 ± 3.85 mmHg(Mean Difference ± Standard Deviation), and the SBP error is 2.52 ± 6.73mmHg(Mean Difference ± Standard Deviation), which proves this method can effectively measure blood pressure by using a single radar in a non-contact state. © 2022 IEEE.

KW - correlation analysis

KW - feature parameters of arterial pulse wave

KW - non-contact blood pressure measurement

KW - single radar

UR - https://www.scopus.com/pages/publications/85133131595

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85133131595&origin=recordpage

U2 - 10.1109/IMBioC52515.2022.9790124

DO - 10.1109/IMBioC52515.2022.9790124

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781665423410

T3 - IEEE MTT-S International Microwave Biomedical Conference, IMBioC

SP - 183

EP - 185

BT - 2022 IEEE MTT-S International Microwave Biomedical Conference (IEEE IMBioC 2022)

PB - IEEE

T2 - 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC 2022)

Y2 - 16 May 2022 through 18 May 2022

ER -

Radar-based blood pressure estimation using multiple features

Abstract

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Research Keywords

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