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Use of assistive technology to assess distal motor function in subjects with neuromuscular disease

Title: Use of assistive technology to assess distal motor function in subjects with neuromuscular disease
Authors: Vincent-Genod, Dominique; Roche, Sylvain; Barrière, Aurélie; de Lattre, Capucine; Tinat, Marie; Venema, Eelke; Lagrange, Emmeline; Gomes Lisboa de Souza, Adriana; Thomann, Guillaume; Coton, Justine; Gautheron, Vincent; Féasson, Léonard; Rippert, Pascal; Vuillerot, Carole
Contributors: Hospices Civils de Lyon (HCL); Centre Référent Maladies Neuromusculaires Rares Rhône-Alpes; Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE); Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS); Service de Biostatistiques Lyon; Hôpital de la Croix-Rousse CHU - HCL; CHU de Grenoble-Alpes - Centre Hospitalier Universitaire CHU Grenoble (CHUGA); Conception Systémique: Homme, Environnement, Technologies (G-SCOP_COSYS); Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP); Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA); Universidade Federal da Paraiba / Federal University of Paraiba (UFPB); Centre Référent Maladies Neuromusculaires Rares Rhône-Alpes, Unité de Myologie; Centre Hospitalier Universitaire de Saint-Etienne CHU Saint-Etienne (CHU ST-E); Service de Myologie CHU Saint-Etienne; Centre Hospitalier Universitaire de Saint-Etienne CHU Saint-Etienne (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM); Service Recherche et Epidémiologie Cliniques, Pôle Santé Publique, Hospices Civils de Lyon; parent; Laboratoire physiopathologie et génétique du neurone et du muscle CNRS UMR5261–Inserm U1315, université Claude-Bernard Lyon 1, université de Lyon, Lyon, France
Source: EISSN: 2767-3170 ; PLOS Digital Health ; https://hal.science/hal-05286935 ; PLOS Digital Health, 2025, 4 (1), pp.e0000534. ⟨10.1371/journal.pdig.0000534⟩
Publisher Information: CCSD; PLOS
Publication Year: 2025
Collection: Université Jean Monnet – Saint-Etienne: HAL
Subject Terms: Neuromuscular Diseases; Assistive Technology for people with disabilities; Motor function measurement; [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
Description: International audience ; Among the 32 items of the Motor Function Measure scale, 3 concern the assessment of hand function on a paper-based support. Their characteristics make it possible to envisage the use of a tablet instead of the original paper-based support for their completion. This would then make it possible to automate the score to reduce intra-and inter-individual variability. The main objective of the present study was to validate the digital completion of items 18, 19, and 22 by measuring the agreement of the scores obtained using a digital tablet with those obtained using the original paper-based support in children and adults with various neuromuscular diseases (NMD). The secondary objective is to calibrate an algorithm for the automatic items scoring. Design: Prospective, multicentre, non-interventional study. Methods: Ninety-eight subjects aged 5 to 60 years with a confirmed NMD completed MFM items 18, 19, and 22 both on a paper support and a digital tablet. Results: The median age of included subjects was 16.2 years. Agreement between scores as assessed using the weighted Kappa coefficient was almost perfect for the scores of items 18 and 22 (K = 0.93, and 0.95, respectively) and substantial for item 19 (K = 0.70). In all cases of disagreement, the difference was of 1 point. The most frequent disagreement concerned item 19; mainly in the direction of a scoring of 1 point less on the tablet. An automatic analysis algorithm was tested on 82 recordings to suggest improvements. Conclusion: The switch from original paper-based support to the tablet results in minimal and acceptable differences, and maintainsa valid and reproducible measure of the 3 items. The developed algorithm for automaticscoring appears feasible with the perspective to include them in a digital applicationthat will make it easier to monitor patients.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1371/journal.pdig.0000534
Availability: https://hal.science/hal-05286935; https://hal.science/hal-05286935v1/document; https://hal.science/hal-05286935v1/file/pdig.0000534.pdf; https://doi.org/10.1371/journal.pdig.0000534
Rights: https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.CCE31447
Database: BASE