Characterization of Epileptic Motor Patterns by Tridimensional Analysis of Movement 2

Caractérisation et détection Des Mouvements Durant Les Crises d'épilepsie à Des Fins d'Alarme, Pour un Usage en Institution et en Famille.

CAPAMETRIM 2 aims to characterize epileptic motor patterns by a quantitative three-dimensional analysis of movements.

This is done to obtain a 3-D motor signature of seizures, for a given patient, and allows their detection with an ambulatory monitoring system.

The benefit for patients is to improve the diagnosis of their diseases by better characterizing their seizures.

CAPAMETRIM 2 aims to characterize epileptic motor patterns by a quantitative three-dimensional analysis of movements.

The project is planned in three phases:

• Installation of 3-D accelerometric and magnetic sensors acquisition systems on the hospital (extension of a preceding study CAPAMETRIM).
• Collection of data on epileptic patients. Sensors will be positioned on the right and left hands and on the head. A 3-D analysis of movements will be done according to the collection by tagging data with visual analysis made on video.
• Development of a motor pattern classification system used for seizure detection.

Inclusion Criteria:

• Adult or children (>= 6 years)
• Written inform consented from the patient or its legal representative
• Presurgical investigation of pharmaco-resistant partial epilepsy
• Motor manifestations during seizures

Exclusion Criteria:

• Proved generalized epilepsy
• No motor manifestations during seizures
• Pregnant women
• Subjects deprived of freedom by an administrative or judicial decision