Chini Giorgia, Fiori Lorenzo, Tatarelli Antonella, Varrecchia Tiwana, Draicchio Francesco, Ranavolo Alberto
Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL-Istituto Nazionale Assicurazione Infortuni sul Lavoro, Rome, Italy.
Department of Physiology and Pharmacology and PhD Program in Behavioral Neuroscience, Sapienza University of Rome, Rome, Italy.
Front Neurol. 2022 Sep 8;13:968818. doi: 10.3389/fneur.2022.968818. eCollection 2022.
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.
受神经肌肉疾病影响的工作年龄个体经常在就业能力、工作困难和工作提前中断方面遇到问题。然而,由于有针对性的康复以及人体工程学和培训干预措施,残疾个体有可能重返工作岗位。生物力学和生理指标对于评估运动和肌肉表现以及确定工作整合计划的成功与否很重要。因此,有必要确定文献中的哪些指标最适合评估重返工作岗位计划的有效性和效率。为了识别当前和未来有价值的指标,本研究采用系统文献综述方法,从Scopus、科学网和PubMed中筛选2011年至2021年3月30日发表的文章,并检查其合格性和潜在的偏倚风险。对运动表现评估中最常用的指标进行了识别、分类和分析。该综述揭示了动力学、运动学、表面肌电图、姿势以及其他生物力学和生理指标在工作整合/重新整合方面的巨大潜力。事实上,可穿戴微型传感器、基于运动学、动力学和表面肌电图的指标可用于控制协作机器人、对残余运动功能进行分类,以及评估康复前后和人体工程学治疗效果。