Research on recognition and classification of pulse signal features based on EPNCC
Research on recognition and classification of pulse signal features based on EPNCC
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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To rapidly obtain the complete characterization information of pulse signals and to verify the sensitivity and validity of pulse signals in the clinical diagnosis of related diseases. In this paper, an improved PNCC method is proposed as a supplementary feature to enable the complete characterization of pulse signals. In this paper, the wavelet sca...
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Full title
Research on recognition and classification of pulse signal features based on EPNCC
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TN_cdi_doaj_primary_oai_doaj_org_article_e94f1f966e70471ca33908c6696e5bfc
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e94f1f966e70471ca33908c6696e5bfc
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-10808-6
