DocumentCode
3067957
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
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
1753
Lastpage
1756
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649516
Filename
4649516
Link To Document