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Poster De Conférence Année : 2018

Automatized assessment of motor function in patients with NMD: MFM-Digital Study

Résumé

Given the progress of research and management in Spinal Muscular Atrophy (SMA), validated tools are needed to assess patients’ motor function. The Motor Function Measure assessment (MFM) is known as principal outcome measure of the motor function with an international recognition. It is a validated tool and sensitive to the change applicable in SMA.Clinicians from the Neuromuscular Diseases Department (Hospices Civils de Lyon, France) are developing the MFM-digital, an automated system to assess SMA patients’ motor function based on MFM. By using a Microsoft Kinect and a digital tablet, the objective is to improve reliability and acceptability of the MFM by lowering the measure’s subjectivity linked to heteroevaluation and by creating a hybrid serious-game.The feasibility study assesses the relevance of the system to capture postures and motions during a MFM test. Due to technological limits of capture by the Kinect sensor, 14 on 32 items may be recognized by the Kinect and 3 items by a tablet. In each case, the therapist scores items in live by referring to the MFM manual. Based on digital data coming from Kinect and tablet records, the principal investigator informs a blind score. The good correlation between items scoring by a therapist and items scoring on captured digital data show the possibility to use an algorithm to propose an automatic score.21 records of MFM were collected with Kinect and Tablet sensors. The first results are encouraging, showing a good concordance between the scores with tracks of improvements of the system in particular concerning the capture for weaker patients. The data supplied by the MFM-digital system bring additional data, in particular the duration of the items’ exercises and kinematic parameters.One interest of this work consists in creating an automatic measurement tool, based on the MFM-items, which has already shown its validity.
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Dates et versions

hal-01925920 , version 1 (18-11-2018)

Identifiants

  • HAL Id : hal-01925920 , version 1

Citer

D. Vincent-Genod, J. Coton, Adriana Gomes Lisboa de Souza, A Daron, L Servais, et al.. Automatized assessment of motor function in patients with NMD: MFM-Digital Study. 12th International Society of Physical and Rehabilitation Medecine World Congress, ISPRM, Jul 2018, Paris, France. ⟨hal-01925920⟩
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