Titre :

Detection of signs of Parkinson's disease using dynamical features via an indirect pointing device

Auteur(s) :

Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Casiez, Géry [Auteur]
Technology and knowledge for interaction [LOKI]
Fernandez, Laure [Auteur]
Institut des Sciences du Mouvement Etienne Jules Marey [ISM]
Olsson, Fredrik [Auteur]
Department of Information Technology [DIT-UPPSALA]
Medvedev, Alexander [Auteur]
Department of Information Technology [DIT-UPPSALA]

Titre de la manifestation scientifique :

IFAC 2020 - 21st IFAC World Congress

Ville :

Berlin

Pays :

Allemagne

Date de début de la manifestation scientifique :

2020-07

Mot(s)-clé(s) en anglais :

Quantification of physiological parameters for diagnosis and treatment assessment. Developments in measurement, signal processing. Control of physiological and clinical variables.

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

In this paper, we study the problem of detecting early signs of Parkinson's disease during an indirect human-computer interaction via a computer mouse activated by a user. The experimental setup provides a signal determined ...
Lire la suite >In this paper, we study the problem of detecting early signs of Parkinson's disease during an indirect human-computer interaction via a computer mouse activated by a user. The experimental setup provides a signal determined by the screen pointer position. An appropriate choice of segments in the cursor position raw data provides a filtered signal from which a number of quantifiable criteria can be obtained. These dynamical features are derived based on control theory methods. Thanks to these indicators, a subsequent analysis allows the detection of users with tremor. Real-life data from patients with Parkinson's and healthy controls are used to illustrate our detection method.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL