Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel

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. Utili...

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Detalles Bibliográficos
Autores principales: Jia, Danbing, Zhang, Dongyu, Li, Naimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934457/
https://www.ncbi.nlm.nih.gov/pubmed/24660022
http://dx.doi.org/10.1155/2014/947254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934457/
https://www.ncbi.nlm.nih.gov/pubmed/24660022
http://dx.doi.org/10.1155/2014/947254

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