Scoring People With Spinal Muscular Atrophy on the Motor Function Measure Using the Microsoft Kinect.

Pediatr Phys Ther

Service de Médecine Physique et de Réadaptation Pédiatrique l'Escale (Mss Vincent-Genod, Barriere, Berruyer, Bernard, Garde, and Gutierrez-Garcia and Drs Le Goff and Vuillerot), Hôpital Femme-Mère-Enfant, Hospices Civils de Lyon, France; Pôle Santé Publique (Dr Rippert), Service Recherche Epidémiologie Cliniques, Hospices Civils de Lyon, France; Univ. Grenoble Alpes (Drs Coton, Gomes-Lisboade-Souza, and Thomann), CNRS, Grenoble INP, Institute of Engineering Univ. Grenoble Alpes, G-SCOP, Grenoble, France; Centre de Référence des Maladies Neuromusculaires (Ms Barriere), Hôpital de la Croix Rousse, Hospices Civils de Lyon, France; Institut de Myologie (Ms Gilabert and Dr Servais), GH Pitié Salpêtrière, Paris, France; Centre de Référence des Maladies Neuromusculaires (Drs Daron and Servais), CHU de Liège, Belgium; Université de Lyon (Dr Vuillerot), and CNRS UMR 5310-INSERM U1217, Université Claude Bernard Lyon 1, France.

Published: January 2023

AI Article Synopsis

  • The study aimed to evaluate the Kinect's effectiveness in capturing the movement and posture of individuals with spinal muscular atrophy (SMA) while they performed tasks from the Motor Function Measure rating scale.
  • A multicenter feasibility study involved scoring participants' performances both by in-person therapists (Score-T) and through digital data visualization with Kinect (Score-D), to compare their agreements and disagreements.
  • Results showed only 31.7% agreement for SMA type 2 participants and 76.2% for type 3, suggesting that while Kinect can't reliably automate scoring, it may help identify compensatory movements in patients.

Article Abstract

Purpose: Assess the ability of the Kinect to capture movement and posture of people with spinal muscular atrophy (SMA) during completion of 14 items of the Motor Function Measure, a validated functional rating scale for people with neuromuscular diseases.

Methods: Multicenter feasibility study in which Motor Function Measure items were scored as usual by the participant's therapist during the completion (Score-T) while another therapist scored items based only on the visualization of digital data collected using the Kinect (Score-D). Agreement and disagreement were investigated.

Results: Twenty people with SMA type 2 or 3 were participants; 142 items were recorded and analyzed. There was 31.7% agreement between Score-T and Score-D for participants with SMA type 2, and 76.2% for those with SMA type 3.

Conclusions: The results prevent us from considering the use of Kinect capture to deduce an automated scoring, but this device may be of interest to highlight potential compensations.

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Source
http://dx.doi.org/10.1097/PEP.0000000000000968DOI Listing

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