Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
558069 | Biomedical Signal Processing and Control | 2011 | 13 Pages |
Abstract
In this paper, the open issue of prediction of the number of intrinsic mode functions (IMF) extracted from a time series after the application of empirical mode decomposition (EMD) is addressed and a methodology is presented directing towards an a priori prediction model. Parameters related with the time series are measured or calculated and used by the model in order to define a closed set in which the actual total number of IMFs is expected to be included after the application of EMD. The prediction model is verified by a large number of tests on simulated electrocardiogram (ECG) time series and after refinement it is validated using real ECG time series from Physionet MIT-BIH database.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Alexandros Karagiannis, Philip Constantinou,