Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients

Kuanquan Wang; Chao Xu; Dongyu Zhang; Naimin Li

doi:10.1109/CBMS.2008.57

Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients

Kuanquan Wang^*
, Chao Xu
, Dongyu Zhang
, Naimin Li

^*Corresponding author for this work

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

9 Scopus citations

Abstract

Doppler Ultrasound Blood Flow Signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of Traditional Chinese Medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.

Original language	English
Title of host publication	Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Pages	87-89
Number of pages	3
DOIs	https://doi.org/10.1109/CBMS.2008.57
State	Published - 2008
Externally published	Yes
Event	21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland Duration: 17 Jun 2008 → 19 Jun 2008

Publication series

Name	Proceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)	1063-7125

Conference

Conference	21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Country/Territory	Finland
City	Jyvaskyla
Period	17/06/08 → 19/06/08

UN SDGs

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

SDG 3 Good Health and Well-being

Access to Document

10.1109/CBMS.2008.57

Cite this

Wang, K., Xu, C., Zhang, D., & Li, N. (2008). Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients. In Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 (pp. 87-89). Article 4561961 (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2008.57

@inproceedings{d170a9034fa44baeb49f7c59435501ee,

title = "Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients",

abstract = "Doppler Ultrasound Blood Flow Signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of Traditional Chinese Medicine, in this paper, a feature extraction method based on Hilbert\_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert\_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.",

author = "Kuanquan Wang and Chao Xu and Dongyu Zhang and Naimin Li",

year = "2008",

doi = "10.1109/CBMS.2008.57",

language = "英语",

isbn = "9780769531656",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

pages = "87--89",

booktitle = "Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008",

note = "21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 ; Conference date: 17-06-2008 Through 19-06-2008",

}

Wang, K, Xu, C, Zhang, D & Li, N 2008, Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients. in Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008., 4561961, Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 87-89, 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008, Jyvaskyla, Finland, 17/06/08. https://doi.org/10.1109/CBMS.2008.57

Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients. / Wang, Kuanquan; Xu, Chao; Zhang, Dongyu et al.
Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008. 2008. p. 87-89 4561961 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

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

TY - GEN

T1 - Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients

AU - Wang, Kuanquan

AU - Xu, Chao

AU - Zhang, Dongyu

AU - Li, Naimin

PY - 2008

Y1 - 2008

N2 - Doppler Ultrasound Blood Flow Signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of Traditional Chinese Medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.

AB - Doppler Ultrasound Blood Flow Signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of Traditional Chinese Medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.

UR - https://www.scopus.com/pages/publications/51849162472

U2 - 10.1109/CBMS.2008.57

DO - 10.1109/CBMS.2008.57

M3 - 会议稿件

AN - SCOPUS:51849162472

SN - 9780769531656

T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems

SP - 87

EP - 89

BT - Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008

T2 - 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008

Y2 - 17 June 2008 through 19 June 2008

ER -

Wang K, Xu C, Zhang D, Li N. Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients. In Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008. 2008. p. 87-89. 4561961. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). doi: 10.1109/CBMS.2008.57

Analysis of doppler ultrasound blood flow signals of wrist radial artery for discriminating healthy people from 3 kinds of patients

Abstract

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