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Extracting complexity waveforms from one-dimensional signals
BACKGROUND: Nonlinear methods provide a direct way of estimating complexity of one-dimensional sampled signals through calculation of Higuchi's fractal dimension (1<FD<2). In most cases the signal is treated as being characterized by one value of FD and consequently analyzed as one epoch...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2739215/ https://www.ncbi.nlm.nih.gov/pubmed/19682385 http://dx.doi.org/10.1186/1753-4631-3-8 |