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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bonizzi, P. Guillem, M.S. Castells, F. Climent, A.M. Zarzoso, V. Meste, O. |
| Copyright Year | 2009 |
| Description | Author affiliation: Laboratoire I3S UNSA - CNRS, Sophia Antipolis, France (Bonizzi, P.; Zarzoso, V.; Meste, O.) || ITACA - Bioingeniera, Universitat Politecnica de Valencia, España, Spain (Guillem, M.S.; Castells, F.; Climent, A.M.) |
| Abstract | Atrial fibrillation (AF) type classifiers are still hardly accepted in clinical practice due to their invasive approach. In this work a new automated method to assess noninvasively different AF types is presented, based on the high spatial resolution given by body surface potential maps (BSPM). AF organization degree was assessed by its influence on the spatio-temporal pseudo-stationarity and complexity of a principal component analysis mixing matrix repeatedly derived along a BSPM recording. Stationarity was analyzed in terms of ability of the mixing matrix derived for a specific recording segment to retrieve the AA components of subsequent segments, while complexity in terms of its number of significant components. Results show that AF organization is reflected in a greater pseudo-stationarity of the mixing matrix along the recordings and in a lower number of components needed to represent the AA, interpreted as a lower complexity in the underlying AA in patients with organized AF type I. |
| Starting Page | 141 |
| Ending Page | 144 |
| File Size | 152969 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424472819 |
| ISSN | 02766547 |
| e-ISBN | 9781424472826 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Computers in Cardiology(CinC) |
| Subject Keyword | Atrial fibrillation Principal component analysis Spatial resolution Electrocardiography Surface waves Decision making Automatic testing Pathology Terminology Cardiology |
| Content Type | Text |
| Resource Type | Article |
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