Online Pathological Tremor Characterization Using Extended Kalman Filtering

Antonio Bo (1) , Philippe Poignet (2) , Ferdinan Widjaja (3) , Wei Tech Ang (3)

1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 DEMAR - Artificial movement and gait restoration
3 Nayang Technological University - Biorobotics lab

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.

Domaines: Automatique / Robotique

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⟩