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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
50
sensors are positioned on the right wrist, the left wrist and on the head.
Grenoble University Hospital Epilepsy Monitoring Unit
Grenoble, France
3-D accelerometric and magnetic sensors
Time frame: continuously during hospitalization recordings (46 Hz from 9 h to 17 h)
Video
Time frame: continuously during hospitalization recordings (25 fps from 9 h to 17 h)
EEG
Time frame: continuously during hospitalization recordings (256-1024 Hz from 9 h to 17 h)
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