Wrist-pulse signal diagnosis using IC pulse

Wankou Yang; Lei Zhang; Dapeng Zhang

doi:10.1109/ICBBE.2009.5163769

Wrist-pulse signal diagnosis using IC pulse

Wankou Yang, Lei Zhang, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

11 Citations (Scopus)

Abstract

Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.

Original language	English
Title of host publication	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs	https://doi.org/10.1109/ICBBE.2009.5163769
Publication status	Published - 31 Dec 2009
Event	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China Duration: 11 Jun 2009 → 13 Jun 2009

Conference

Conference	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Country/Territory	China
City	Beijing
Period	11/06/09 → 13/06/09

Keywords

ICA
Traditional Chinese pulse diagnosis

ASJC Scopus subject areas

Biotechnology
Biomedical Engineering

More information

10.1109/ICBBE.2009.5163769

Cite this

@inproceedings{6c639a52d6004dbcbbe3cc3810d4842a,

title = "Wrist-pulse signal diagnosis using IC pulse",

abstract = "Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.",

keywords = "ICA, Traditional Chinese pulse diagnosis",

author = "Wankou Yang and Lei Zhang and Dapeng Zhang",

year = "2009",

month = dec,

day = "31",

doi = "10.1109/ICBBE.2009.5163769",

language = "English",

isbn = "9781424429028",

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note = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 ; Conference date: 11-06-2009 Through 13-06-2009",

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TY - GEN

T1 - Wrist-pulse signal diagnosis using IC pulse

AU - Yang, Wankou

AU - Zhang, Lei

AU - Zhang, Dapeng

PY - 2009/12/31

Y1 - 2009/12/31

N2 - Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.

AB - Traditional Chinese Pulse Diagnosis (TCPD) is one of the most important diagnostic techniques in Traditional Chinese Medicine (TCM) and computerized analysis of pulse signals is a crucial step for objectifying and standardizing TCPD. This paper presents an automated wrist-pulse signal diagnosis approach by using the independent component analysis (ICA) to extract pulse signal features. A wrist-pulse signal dataset is established, which includes both the samples from healthy people and patients with certain diseases. With the extracted features by ICA, a nearest neighborhood classifier is used to distinguish the unhealthy samples from healthy samples. The experimental results on the established dataset demonstrate the efficiency of the proposed ICA based pulse signal analysis method.

KW - ICA

KW - Traditional Chinese pulse diagnosis

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U2 - 10.1109/ICBBE.2009.5163769

DO - 10.1109/ICBBE.2009.5163769

M3 - Conference article published in proceeding or book

SN - 9781424429028

BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Y2 - 11 June 2009 through 13 June 2009

ER -

Wrist-pulse signal diagnosis using IC pulse

Abstract

Conference

Keywords

ASJC Scopus subject areas

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