Online Pathological Tremor Characterization Using Extended Kalman Filtering - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Communication Dans Un Congrès Année : 2008

Online Pathological Tremor Characterization Using Extended Kalman Filtering

Résumé

This paper describes different algorithms that perform online pathological tremor characterization. Two distinct nonstationary parametric models are used, an Auto-Regressive (AR) model and an harmonic model. The models are recursively estimated with Extended Kalman Filters (EKFs). Experimental data was obtained with low cost accelerometers and the results are compared in terms of spectrogram estimation and prediction performance.
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Dates et versions

lirmm-00288836 , version 1 (18-06-2008)

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Antonio Bo, Philippe Poignet, Ferdinan Widjaja, Wei Tech Ang. Online Pathological Tremor Characterization Using Extended Kalman Filtering. EMBC: Engineering in Medicine and Biology Conference, Aug 2008, Vancouver, BC, Canada. pp.1753-1756, ⟨10.1109/IEMBS.2008.4649516⟩. ⟨lirmm-00288836⟩
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