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Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy
Non-linear analysis found many applications in biomedicine. Approximate entropy (ApEn) is a popular index of complexity often applied to biomedical data, as it provides quite stable indications when processing short and noisy epochs. However, ApEn strongly depends on parameters, which were chosen in...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004374/ https://www.ncbi.nlm.nih.gov/pubmed/29942263 http://dx.doi.org/10.3389/fphys.2018.00710 |