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在神经疾病中使用肌肉力量和活动范围测试对机器人物理治疗与传统物理治疗进行比较评估

Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases.

作者信息

Major Zoltán Zsigmond, Vaida Calin, Major Kinga Andrea, Tucan Paul, Brusturean Emanuela, Gherman Bogdan, Birlescu Iosif, Craciunaș Raul, Ulinici Ionut, Simori Gábor, Banica Alexandru, Pop Nicoleta, Burz Alin, Carbone Giuseppe, Pisla Doina

机构信息

Neurophysiology Department, National Center for Spinal Disorders, Királyhágó u. 1, 1126 Budapest, Hungary.

Neurology Department, Municipal Clinical Hospital Cluj-Napoca, 400139 Cluj-Napoca, Romania.

出版信息

J Pers Med. 2021 Sep 25;11(10):953. doi: 10.3390/jpm11100953.

Abstract

The use of robotic systems in physical rehabilitation protocols has become increasingly attractive and has been given more focus in the last decade as a result of the high prevalence of motor deficits in the population, which is linked to an overburdened healthcare system. In accordance with current trends, three robotic devices have been designed, called ParReEx Elbow, ParReEx Wrist, and ASPIRE, which were designed to improve upper-limb medical recovery (shoulder, elbow, forearm, and wrist). The three automated systems were tested in a hospital setting with 23 patients (12 men and 11 women) suffering from motor deficits caused by various neurological diseases such as stroke, Parkinson's disease, and amyotrophic lateral sclerosis (ALS). The patients were divided into three groups based on their pathology (vascular, extrapyramidal, and neuromuscular). Objective clinical measures, such as the Medical Research Council (MRC) scale, goniometry, and dynamometry, were used to compare pre- and post-rehabilitation assessments for both robotic-aided and manual physical rehabilitation therapy. The results of these tests showed that, with the exception of a few minor differences in muscular strength recovery, the robotic-assisted rehabilitation methods performed equally as well as the manual techniques, though only minor improvements were validated during short-term rehabilitation. The greatest achievements were obtained in the goniometric analysis where some rehabilitation amplitudes increased by over 40% in the vascular group, but the same analysis returned regressions in the neuromuscular group. The MRC scale analysis returned no significant differences, with most regressions occurring in the neuromuscular group. The dynamometric analysis mostly returned improvements, but the highest value evolution was 19.07%, which also in the vascular group. While the results were encouraging, more research is needed with a larger sample size and a longer study period in order to provide more information regarding the efficacy of both rehabilitation methods in neurological illnesses.

摘要

在物理康复方案中使用机器人系统已变得越来越有吸引力,并且由于人群中运动功能障碍的高患病率(这与负担过重的医疗系统相关),在过去十年中受到了更多关注。根据当前趋势,设计了三种机器人设备,分别称为ParReEx肘部机器人、ParReEx腕部机器人和ASPIRE,旨在改善上肢医学康复(肩部、肘部、前臂和腕部)。这三种自动化系统在医院环境中对23名患者(12名男性和11名女性)进行了测试,这些患者患有由各种神经系统疾病(如中风、帕金森病和肌萎缩侧索硬化症(ALS))引起的运动功能障碍。根据患者的病理情况(血管性、锥体外系性和神经肌肉性)将他们分为三组。使用客观的临床测量方法,如医学研究委员会(MRC)量表、角度测量法和肌力测量法,来比较机器人辅助和手动物理康复治疗前后的康复评估。这些测试结果表明,除了肌肉力量恢复方面的一些微小差异外,机器人辅助康复方法的效果与手动技术相当,不过在短期康复期间仅验证了微小的改善。在角度测量分析中取得了最大的成果,血管组的一些康复幅度增加了40%以上,但在神经肌肉组中同样的分析结果出现了退步。MRC量表分析没有返回显著差异,大多数退步发生在神经肌肉组。肌力测量分析大多返回了改善结果,但最高值的变化为19.07%,同样也是在血管组。虽然结果令人鼓舞,但需要进行更大样本量和更长研究期的更多研究,以便提供更多关于这两种康复方法在神经系统疾病中疗效的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18c5/8541455/e955fb406ae1/jpm-11-00953-g001.jpg

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