Title :
Online pathological tremor characterization using extended Kalman filtering
Author :
Bo, Antonio P.L. ; Poignet, Philippe ; Widjaja, Ferdinan ; Ang, Wei T.
Author_Institution :
LIRMM UMR 5506 CNRS UM2, Montpellier, France
Abstract :
This paper describes different algorithms that perform online pathological tremor characterization in terms of acceleration. Two distinct parametricmodels are used, an Auto-Regressive (AR) model and an harmonic model. Both models are recursively estimated with Extended Kalman Filters (EKFs). Experimental data was obtained with low cost sensors and the results are compared in terms of spectrogram estimation and prediction performance.
Keywords :
Accelerometers; Costs; Frequency; Kalman filters; Motion measurement; Pathology; Power harmonic filters; Recursive estimation; Spectrogram; State estimation; Acceleration; Algorithms; Biomedical Engineering; Databases, Factual; Diagnosis, Computer-Assisted; Humans; Models, Biological; Movement; Nonlinear Dynamics; Online Systems; Regression Analysis; Tremor;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649516
