Shape Evolutions of Poincaré Plots for Electromyograms in Data Acquisition Dynamics

摘要

Poincaré plots (PPs) are a known way of study for complex time series. Such are the majority of medical signals. This method is in use here for the study of verified electromyograms (EMGs). EMGs are records of electrical action of muscular and nervous systems. The shapes of PPs for EM Gs as well as its standard descriptors are sensitive to the diagnosis. These last describe the variability of the signals. We have studied the changes in the shapes of the PPs during the taping of EMGs. The changes of the standard descriptors were studied too. Three EMGs were considered for diverse diagnoses. They have varied duration but the same sampling rates. We have found the common shape of the PPs stabilizes itself during about the first third of each record. These shapes can change even further, but already remaining self-similar like the fractals. Standard descriptors are changing within the data acquisition. Still, these changes are smoother and less weighty in the last two thirds of each record.