Hilbert-Huang transform based doppler blood flow signals analysis

Dongyu Zhang; Kuanquan Wang; Xiangqian Wu; Bo Huang; Naimin Li

doi:10.1109/BMEI.2009.5305274

Hilbert-Huang transform based doppler blood flow signals analysis

Dongyu Zhang
, Kuanquan Wang
, Xiangqian Wu
, Bo Huang
, Naimin Li

Division of Science, Engineering and Health Studies (SEHS)

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

5 Citations (Scopus)

Abstract

In this paper a feature extraction method based on Hilbert-Huang transform (HHT) is proposed in order to investigate the relationship between Doppler ultrasound blood flow signal (DUBFS) of wrist radial artery and the pathological changes of internal organs of human body. Two kinds of empirical model decomposition (EMD) based de-noising methods were compared in data preprocessing progress, and finally EMD interval thresholding (EMD-IT) method was selected to remove the noise of blood flow signal. Then the extracted features based on HHT were applied to classify healthy people from cholecystitis patients and nephritis patients, respectively. Experiment results showed that HHT was an effective method for blood flow signal analysis. Also, the extracted features had promising discriminating ability between the healthy people and different kinds of patients.

Original language	English
Title of host publication	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOIs	https://doi.org/10.1109/BMEI.2009.5305274
Publication status	Published - 2009
Event	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009

Publication series

Name	Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Conference

Conference	2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
Country/Territory	China
City	Tianjin
Period	17/10/09 → 19/10/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Hilbert-Huang
Signal analysis
Ultrasound blood flow

Access to Document

10.1109/BMEI.2009.5305274

Cite this

Zhang, D., Wang, K., Wu, X., Huang, B., & Li, N. (2009). Hilbert-Huang transform based doppler blood flow signals analysis. In Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 Article 5305274 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5305274

@inproceedings{2e1159465e7b4795954e93d93b3c388e,

title = "Hilbert-Huang transform based doppler blood flow signals analysis",

abstract = "In this paper a feature extraction method based on Hilbert-Huang transform (HHT) is proposed in order to investigate the relationship between Doppler ultrasound blood flow signal (DUBFS) of wrist radial artery and the pathological changes of internal organs of human body. Two kinds of empirical model decomposition (EMD) based de-noising methods were compared in data preprocessing progress, and finally EMD interval thresholding (EMD-IT) method was selected to remove the noise of blood flow signal. Then the extracted features based on HHT were applied to classify healthy people from cholecystitis patients and nephritis patients, respectively. Experiment results showed that HHT was an effective method for blood flow signal analysis. Also, the extracted features had promising discriminating ability between the healthy people and different kinds of patients.",

keywords = "Hilbert-Huang, Signal analysis, Ultrasound blood flow",

author = "Dongyu Zhang and Kuanquan Wang and Xiangqian Wu and Bo Huang and Naimin Li",

year = "2009",

doi = "10.1109/BMEI.2009.5305274",

language = "English",

isbn = "9781424441341",

series = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

booktitle = "Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009",

note = "2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Zhang, D, Wang, K, Wu, X, Huang, B & Li, N 2009, Hilbert-Huang transform based doppler blood flow signals analysis. in Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009., 5305274, Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009, Tianjin, China, 17/10/09. https://doi.org/10.1109/BMEI.2009.5305274

Hilbert-Huang transform based doppler blood flow signals analysis. / Zhang, Dongyu; Wang, Kuanquan; Wu, Xiangqian et al.
Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009. 2009. 5305274 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009).

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

TY - GEN

T1 - Hilbert-Huang transform based doppler blood flow signals analysis

AU - Zhang, Dongyu

AU - Wang, Kuanquan

AU - Wu, Xiangqian

AU - Huang, Bo

AU - Li, Naimin

PY - 2009

Y1 - 2009

N2 - In this paper a feature extraction method based on Hilbert-Huang transform (HHT) is proposed in order to investigate the relationship between Doppler ultrasound blood flow signal (DUBFS) of wrist radial artery and the pathological changes of internal organs of human body. Two kinds of empirical model decomposition (EMD) based de-noising methods were compared in data preprocessing progress, and finally EMD interval thresholding (EMD-IT) method was selected to remove the noise of blood flow signal. Then the extracted features based on HHT were applied to classify healthy people from cholecystitis patients and nephritis patients, respectively. Experiment results showed that HHT was an effective method for blood flow signal analysis. Also, the extracted features had promising discriminating ability between the healthy people and different kinds of patients.

AB - In this paper a feature extraction method based on Hilbert-Huang transform (HHT) is proposed in order to investigate the relationship between Doppler ultrasound blood flow signal (DUBFS) of wrist radial artery and the pathological changes of internal organs of human body. Two kinds of empirical model decomposition (EMD) based de-noising methods were compared in data preprocessing progress, and finally EMD interval thresholding (EMD-IT) method was selected to remove the noise of blood flow signal. Then the extracted features based on HHT were applied to classify healthy people from cholecystitis patients and nephritis patients, respectively. Experiment results showed that HHT was an effective method for blood flow signal analysis. Also, the extracted features had promising discriminating ability between the healthy people and different kinds of patients.

KW - Hilbert-Huang

KW - Signal analysis

KW - Ultrasound blood flow

UR - https://www.scopus.com/pages/publications/74049083812

U2 - 10.1109/BMEI.2009.5305274

DO - 10.1109/BMEI.2009.5305274

M3 - Conference contribution

AN - SCOPUS:74049083812

SN - 9781424441341

T3 - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

BT - Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

T2 - 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

Y2 - 17 October 2009 through 19 October 2009

ER -

Hilbert-Huang transform based doppler blood flow signals analysis

Abstract

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UN SDGs

Keywords

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