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Visual Interpretation of Biomedical Time Series Using Parzen Window-Based Density-Amplitude Domain Transformation
This study proposes a new method suitable for the visual analysis of biomedical time series that is based on the examination of biomedical signals in the density-amplitude domain. Toward this goal, we employed two publicly available datasets. In the first stage of the study, density coefficients wer...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5040451/ https://www.ncbi.nlm.nih.gov/pubmed/27683252 http://dx.doi.org/10.1371/journal.pone.0163569 |