Sliding empirical mode decomposition for on-line analysis of biomedical time series
Biomedical signals are in general non-linear and non-stationary. Empirical Mode Decomposition in conjunction with Hilbert-Huang Transform provides a fully adaptive and data-driven technique to extract Intrinsic Mode Functions (IMFs). The latter represent a complete set of orthogonal basis functions...
Main Author: | |
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Other Authors: | , , , , |
Format: | conferenceObject |
Language: | eng |
Published: |
1000
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Online Access: | http://hdl.handle.net/10773/5327 |
Country: | Portugal |
Oai: | oai:ria.ua.pt:10773/5327 |