Abstract
The aim of this work is to analyze the influence of a method for baseline fluctuation (BLF) cancellation for electromyographic (EMG) signals on automatic methods for measurement of the motor unit action potential (MUAP) duration. These methods include four conventional automatic methods (CAMs) and a recently published wavelet transform method (WTM). A set of 182 MUAPs from 170 EMG recordings were studied. The CAMs and the WTM were applied to the MUAPs before and after applying BLF cancellation to the recordings. A gold standard of duration marker positions (GSP) ws manually established. The accuracy of each algorithm was estimated as the dfference between its positions and the GSP. Accuracies were compared for the 5 methods and for each method before and after BLF cancellation. A significant difference between accuracy preand post-BLF removal was found in two CAMs; markers were closer to the GSP after BLF removal. For all MUAPs, the differences between WTM markers and the GSP were the smallest, and significant differences were not found for the WTM before and after BLF cancellation. The management of BLF is an important issue in EMG signal processing and BLF removal must be considered in extraction and analyse of MUAP waveforms. The BLF removal method improved the performance of two CAMs for MUAP duration measurement. The WTM was the most accurate and was not affected by BLF. Ignacio Rodriguez Carreno Universidad de Navarra Depto. Metodos Cuantitativos Campus Universitario 31080 Pamplona irodriguezc@unav.es Luis Gila Useros Departamento de Neurofisiologia Clinica Hospital Virgen del Camino 31008 Pamplona luis.gila.useros@cfnavarra.es Armando Malanda Trigueros Universidad Publica de Navarra Depto. Ing. Electrica y Electronica 31006 Pamplona malanda@unavarra.es Javier Navallas Irujo Universidad Publica de Navarra Depto. Ing. Electrica y Electronica 31006 Pamplona javier.navallas@unavarra.es Javier Rodriguez Falces Universidad Publica de Navarra Depto. Ing. Electrica y Electronica 31006 Pamplona javier.rodriguez.falces@gmail.com Sagrario Gomez Elvira Universidad Publica de Navarra Depto. Estadistica e Investigacion Operativa 31006 Pamplona sgomez@unavarra.es
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