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Electromyographic (EMG) signal analysis is the process of resolving a composite EMG signal into its constituent motor unit potential trains (classes) and it can be configured as a classification problem. An EMG signal detected by the tip of an inserted needle electrode is the superposition of the individual electrical contributions of the different motor units that are active, during a muscle contraction, and background interference.
This book addresses the process of EMG signal decomposition by developing an interactive classification system, which uses multiple classifier fusion techniques in order to achieve improved classification performance. The developed system combines heterogeneous sets of base classifier ensembles of different kinds and employs both a one level classifier fusion scheme and a hybrid classifier fusion approach. Performance of the developed system was evaluated using synthetic simulated signals of known properties and real signals and compared with the performance of the constituent base classifiers.
This book is directed toward graduate students and researchers in the area of electromyography and professionals in electromyography clinics.
Detailangaben zum Buch - Diversity-Based Hybrid Classifier Fusion
EAN (ISBN-13): 9783836435338 ISBN (ISBN-10): 3836435330 Taschenbuch Erscheinungsjahr: 2008 Herausgeber: VDM Verlag 216 Seiten Gewicht: 0,418 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2009-01-29T07:42:03+01:00 (Berlin) Detailseite zuletzt geändert am 2021-12-31T00:48:11+01:00 (Berlin) ISBN/EAN: 9783836435338
ISBN - alternative Schreibweisen: 3-8364-3533-0, 978-3-8364-3533-8 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: fusion, hybrid
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