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Detecting and characterizing high-frequency oscillations in epilepsy: a case study of big data analysis
We develop a framework to uncover and analyse dynamical anomalies from massive, nonlinear and non-stationary time series data. The framework consists of three steps: preprocessing of massive datasets to eliminate erroneous data segments, application of the empirical mode decomposition and Hilbert tr...
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| Publicado no: | R Soc Open Sci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5319343/ https://ncbi.nlm.nih.gov/pubmed/28280577 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.160741 |
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