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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2017-01-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.160741 |