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Acti-DM1: monitoring the activity level of people with myotonic dystrophy type 1 through activity and exercise recognition

Chapron Kevin, Lapointe Patrick, Lessard Isabelle, Darsmstadt-Belanger Hans, Bouchard Kevin, Gagnon Cynthia, Lavoie Melissa, Duchesne Elise et Gaboury Sebastien. (2021). Acti-DM1: monitoring the activity level of people with myotonic dystrophy type 1 through activity and exercise recognition. IEEE Access, 9, p. 49960-49973.

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URL officielle: http://dx.doi.org/doi:10.1109/ACCESS.2021.3068877

Résumé

Myotonic dystrophy type 1 (DM1) is a rare disease where the highest prevalence is found in the small geographical region of Saguenay-Lac-St-Jean in Quebec, Canada. This disease impacts the quality of life and the ability of the affected people to pursue their normal day to day activities. To attenuate the impact of DM1, one could suggest that physiotherapists or other health professionals prescribe adapted physical exercise programs to carry out at home. It is, however, unpractical for the professionals to monitor every patient during their program and prohibitive in terms of cost. One alternative solution is to rely on the use of ambient technologies. To do so, in this research, our team developed an assistive system able to recognize simple mobility related activities (MA) and monitor each exercise performed during training sessions. The system can help the person by providing guidance and motivation throughout the training. The system was tested on 10 persons affected by the disease in their home for 10 weeks. The results obtained are encouraging and we discuss them in comparison with our previous work conducted in lab settings. Finally, to help further advances the research, the datasets are openly available online to the community.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2169-3536
Volume:9
Pages:p. 49960-49973
Version évaluée par les pairs:Oui
Date:2021
Identifiant unique:10.1109/ACCESS.2021.3068877
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences de la santé
Sciences de la santé > Sciences de l'activité physique et réadaptation
Sciences de la santé > Sciences de l'activité physique et réadaptation > Physiothérapie
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique > Module d'informatique et de mathématique
Départements et modules > Département des sciences de la santé > Unité d'enseignement en physiothérapie
Mots-clés:activity recognition, exercise recognition, wearable device, health monitoring, assistive technology, myotonic dystrophy type I, reconnaissance d'activité, reconnaissance d'exercice, dispositifs électroniques portables, surveillance de la santé, technologie d'assistance, dystrophie myotonique (Type 1), DM1
Déposé le:19 mai 2021 17:51
Dernière modification:19 mai 2021 17:51
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Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

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