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A Persistent Homology Approach to Heart Rate Variability Analysis With an Application to Sleep-Wake Classification
Persistent homology is a recently developed theory in the field of algebraic topology to study shapes of datasets. It is an effective data analysis tool that is robust to noise and has been widely applied. We demonstrate a general pipeline to apply persistent homology to study time series, particula...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959762/ https://www.ncbi.nlm.nih.gov/pubmed/33732168 http://dx.doi.org/10.3389/fphys.2021.637684 |