An Autoregressive (AR) Model Applied to Eye Tremor Movement, Clinical Application in Schizophrenia

  • Authors:

  • Z. Ramdane-Cherif;A. Naï/t-Ali;J. F. Motsch;M. O. Krebs

  • Affiliations:

  • INSERM E-0117, Service Hospitalo-Universitaire, Hô/pital Ste-Anne, Paris, France. Ingé/nierie des Signaux NeuroSensoriels, Université/ Paris 12, France. Laboratoire d'Etude et de Reche ...;Laboratoire d'Etude et de Recherche en Instrumentation, Signaux et Systè/mes, Traitement du Signal et Instrumentation Mé/dicale, Université/ Paris 12, France/ naitali@univ-pari ...;Ingé/nierie des Signaux NeuroSensoriels, Université/ Paris 12, France;INSERM E-0117, Service Hospitalo-Universitaire, Hô/pital Ste-Anne, Paris, France

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this study, we use a parametric autoregressive (AR) model to obtain descriptive features of eye tremor movement during fixation. The interest consists in analyzing model parameters to determine the information that can be used as indicator of specific pathophysiology underlying cerebral dysfunction in schizophrenic subjects. We have tested healthy volunteers and schizophrenic medicated and unmedicated patients, to evaluate the treatment effect. The AR model is applied to the eye tremor movement extracted from the eye position signal recorded when subjects are fixating a stationary target. The analysis of the model parameters shows distinct classes, corresponding to a population of subjects among the three kinds included in this study.