Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel
Joint Authors
Li, Naimin
Zhang, Dongyu
Jia, Danbing
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Advances in signal processing techniques have provided effective tools for quantitative research in traditional Chinese pulse diagnosis.
However, because of the inevitable intraclass variations of pulse patterns, the automatic classification of pulse waveforms has remained a difficult problem.
Utilizing the new elastic metric, that is, time wrap edit distance (TWED), this paper proposes to address the problem under the support vector machines (SVM) framework by using the Gaussian TWED kernel function.
The proposed method, SVM with GTWED kernel (GTWED-SVM), is evaluated on a dataset including 2470 pulse waveforms of five distinct patterns.
The experimental results show that the proposed method achieves a lower average error rate than current pulse waveform classification methods.
American Psychological Association (APA)
Jia, Danbing& Zhang, Dongyu& Li, Naimin. 2014. Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-510460
Modern Language Association (MLA)
Jia, Danbing…[et al.]. Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-510460
American Medical Association (AMA)
Jia, Danbing& Zhang, Dongyu& Li, Naimin. Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-510460
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510460