57 research outputs found
The Walking Trail-Making Test is an early detection tool for mild cognitive impairment
No full textAnaick Perrochon, Gilles Kemoun Laboratoire Mobilité, Vieillissement, Exercice (MOVE), EA 6314, Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France; ISIS, Research Institute on Handicap and Aging, Paris, France Background: Executive function impairment (in particular, mental flexibility) in the elderly, and in patients with mild cognitive impairment (MCI), is strongly correlated with difficulties in performing complex walking tasks. The aim of this study was to determine if the adaptation of a neuropsychological test (the Trail-Making Test), to evaluate executive functions during walking, can be an early detection tool for cognitive impairment. Methods: Fifty subjects (15 young, 20 older, presumably healthy, and 15 MCI) were first evaluated for cognitive functions (Mini-Mental State Examination, Frontal Assessment Battery, and Trail-Making Test) and motor functions (10-meter walking test). All subjects then performed a spatial navigation, or a complex walking test (the Walking Trail-Making Test: [WTMT]), and their spatiotemporal walking variables were analyzed using cluster analysis. Results: Following evaluation of WTMT locomotor performance, cluster analysis revealed three groups that were distinctly different in age and cognitive abilities: a group of young subjects, a group of healthy older subjects, MCI subjects with amnestic impairment, and a group of MCI subjects with executive function impairment. The WTMT enabled early detection, (ie, borderline MCI) of dysexecutive impairment, with 78% sensitivity and 90% specificity. Conclusion: The WTMT is of interest in that it can help provide early detection of dysexecutive cognitive impairment. Keywords: spatial navigation, walking, trail making test, detection, mild cognitive impairmen
Les formations en santé : entre universitarisation et professionnalisation
No full textInternational audienceL’intégration universitaire des formations de santé s'est accélérée depuis la fin des années 2010, impliquant l'adaptation des programmes, l'inclusion progressive d'enseignants universitaires dans la formation et la standardisation des diplômes et des méthodes d'évaluation, notamment pour traiter les problèmes posés par des référentiels nationaux jugés trop détaillés, contraignants et en décalage avec les évolutions des métiers. Cet article précise les caractéristiques universitaires des formations paramédicales et leur devenir dans le cadre d’une intégration autant pédagogique qu’organique tout en veillant à bien évaluer les impacts de ces processus.
Relation entre le risque de burn-out et le mode d’exercice de la profession de masseur-kinésithérapeute
No full textInternational audienc
Un exergame personnalisé pour les capacités cognitivo- motrices des séniors : le projet INCOME
No full textInternational audienc
Effet de vidéos 360° immersives personnalisées sur la santé mentale des personnes âgées institutionalisées avec et sans troubles cognitifs
No full textInternational audienc
Les formations en santé : entre universitarisation et professionnalisation
No full textInternational audienceL’intégration universitaire des formations de santé s'est accélérée depuis la fin des années 2010, impliquant l'adaptation des programmes, l'inclusion progressive d'enseignants universitaires dans la formation et la standardisation des diplômes et des méthodes d'évaluation, notamment pour traiter les problèmes posés par des référentiels nationaux jugés trop détaillés, contraignants et en décalage avec les évolutions des métiers. Cet article précise les caractéristiques universitaires des formations paramédicales et leur devenir dans le cadre d’une intégration autant pédagogique qu’organique tout en veillant à bien évaluer les impacts de ces processus.
Compliance with Upper Limb Home-Based Exergaming Interventions for Stroke Patients: A Narrative Review
No full textInternational audienceBackground: Telerehabilitation and follow-up techniques have been developed in recent years to assess the effectiveness of diverse intervention programmes that include exergaming technologies. For patients with upper limb impairment after stroke, motion-gaming technologies can provide effective and amusing training. Beyond efficiency, professionals must analyse patient compliance with the system for self-use at home, because patients may or may not independently perform the exercises prescribed by the therapist. Questions on the sustainable use of this type of home exercise also arise.Objective: This review examines user compliance with exercise programmes, measured according to the training rate (percentage of prescribed sessions and min completed) and completion rate (number of drop-outs and discontinued interventions) reported or calculable according to the data collected.Results and discussion: Rates of compliance with training were relatively high. No group effect on compliance was found. Drop-out and discontinued intervention rates were either due to external causes or directly related to the technologies. Some studies have reported the use of supervision, most of them through home visits and remote support. Few studies performed long-term follow-up, which could provide information to help broaden practices. This narrative review considers how this field of research may evolve in the future
Réentraîner les seniors à faire deux choses à la fois : le projet INCOME à Limoges
No full textInternational audienceAgeing is associated with a decrease of cognitive and motor functions, both being risk of fall factors. We can face this degradation through specific trainings; however, seniors suffer from a lack of motivation to start and pursue physical training programs. A possible solution is the use of video games. The objective of the INCOME project is to assess the effects of a training program using an exergame as support on several parameters in seniors living in Limoges’ autonomy residences. To meet the specific needs of seniors, the HAVAE laboratory and the 3iL engineering school have conceptualised and developed an exergame. A pilot exploratory study is assessing the effects of this exergame amongst 40 seniors, training 30 minutes, 3 times a week for 3 months. Here, we describe the scientific background, the genesis and the content of the project, and preliminary results regarding the seniors’ adhesion to our exergame.Le vieillissement s’accompagne d’une diminution des capacités cognitives et motrices, représentant une augmentation du risque de chutes. Nous pouvons pallier cette dégradation par le biais d’entraînements spécifiques ; toutefois, les seniors peuvent manquer de motivation à entamer, poursuivre et respecter ces programmes d’entraînements. Une solution possible est le passage par les jeux vidéo. L’objectif du projet INCOME est d’évaluer les effets d’un programme d’entraînement ayant pour support un exergame sur différents paramètres chez des personnes âgées vivant en résidence autonomie municipale de la Ville de Limoges. Pour répondre aux besoins spécifiques des seniors, l’unité de recherche HAVAE et l’école 3iL ont conceptualisé et développé un exergame. Une étude pilote exploratoire teste ce jeu auprès de 40 personnes âgées via un entraînement de 30 minutes, 3 fois par semaines durant 3 mois. Ici, nous décrivons le contexte scientifique, la genèse et le contenu du projet, ainsi que des résultats préliminaires concernant la réception de ce jeu par le public
Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis
No full textInternational audienceArtificial intelligence (AI) is transforming personalized rehabilitation by introducing innovative methods to enhance care across diverse medical specialties. Despite its potential, widespread implementation remains limited, largely due to a lack of comprehensive analyses on its benefits and barriers. This mini narrative review examines current applications of AI in personalized rehabilitation and provide a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis AI is already being used to develop personalized treatment plans, support ongoing patient management, and adapt therapy sessions in real-time. One of its key strengths is the capacity to process vast datasets and monitor real-time information, thereby elevating the level of personalization. Automation of certain tasks can reduce human error and alleviate clinician workload, allowing more time for direct patient care. Opportunities for AI lie in leveraging rapidly advancing technologies to meet the rising demand for rehabilitation services, particularly with aging populations. Collaborations with industry can accelerate innovation, while data sharing can promote best practices across institutions. However, notable challenges persist. High implementation costs, ethical concerns such as algorithmic bias, and risks of increasing healthcare disparities remain major barriers. Additionally, threats such as data privacy breaches and security vulnerabilities emphasize the need for robust, balanced regulatory frameworks. In conclusion, AI holds immense promise for transforming personalized rehabilitation. While current applications are largely in early stages or proof-of-concept phases, ongoing research, ethical foresight, and strategic collaboration are essential to maximize benefits and minimize risks for optimal patient outcomes
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