Academic Journal

Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review

التفاصيل البيبلوغرافية
العنوان: Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review
المؤلفون: Giorgia Chini, Lorenzo Fiori, Antonella Tatarelli, Tiwana Varrecchia, Francesco Draicchio, Alberto Ranavolo
المصدر: Frontiers in Neurology, Vol 13 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Neurology. Diseases of the nervous system
مصطلحات موضوعية: indexes, job reintegration, neurological disorders, monitoring, performance, biomechanics, Neurology. Diseases of the nervous system, RC346-429
الوصف: Individuals of working age affected by neuromuscular disorders frequently experience issues with their capacity to get employment, difficulty at work, and premature work interruption. Anyway, individuals with a disability could be able to return to work, thanks to targeted rehabilitation as well as ergonomic and training interventions. Biomechanical and physiological indexes are important for evaluating motor and muscle performance and determining the success of job integration initiatives. Therefore, it is necessary to determinate which indexes from the literature are the most appropriate to evaluate the effectiveness and efficiency of the return-to-work programs. To identify current and future valuable indexes, this study uses a systematic literature review methodology for selecting articles published from 2011 to March 30, 2021 from Scopus, Web of Science, and PubMed and for checking the eligibility and the potential bias risks. The most used indexes for motor performance assessment were identified, categorized, and analyzed. This review revealed a great potential for kinetic, kinematic, surface electromyography, postural, and other biomechanical and physiological indexes to be used for job integration/reintegration. Indeed, wearable miniaturized sensors, kinematic, kinetic, and sEMG-based indexes can be used to control collaborative robots, classify residual motor functions, and assess pre–post-rehabilitation and ergonomic therapies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1664-2295
Relation: https://www.frontiersin.org/articles/10.3389/fneur.2022.968818/full; https://doaj.org/toc/1664-2295
DOI: 10.3389/fneur.2022.968818
URL الوصول: https://doaj.org/article/be8f246997bd40209c24b2183b1046da
رقم الانضمام: edsdoj.be8f246997bd40209c24b2183b1046da
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16642295
DOI:10.3389/fneur.2022.968818