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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3934457/ https://ncbi.nlm.nih.gov/pubmed/24660022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/947254 |
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