Moulaei Khadijeh, Bahaadinbeigy Kambiz, Haghdoostd Ali Akbar, Nezhad Mansour Shahabi, Sheikhtaheri Abbas
Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
HIV/STI Surveillance Research Center, WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Arch Public Health. 2023 May 8;81(1):84. doi: 10.1186/s13690-023-01100-8.
Neuromotor rehabilitation and improvement of upper limb functions are necessary to improve the life quality of patients who have experienced injuries or have pathological outcomes. Modern approaches, such as robotic-assisted rehabilitation can help to improve rehabilitation processes and thus improve upper limb functions. Therefore, the aim of this study was to investigate the role of robots in upper limb disability improvement and rehabilitation.
This scoping review was conducted by search in PubMed, Web of Science, Scopus, and IEEE (January 2012- February 2022). Articles related to upper limb rehabilitation robots were selected. The methodological quality of all the included studies will be appraised using the Mixed Methods Appraisal Tool (MMAT). We used an 18-field data extraction form to extract data from articles and extracted the information such as study year, country, type of study, purpose, illness or accident leading to disability, level of disability, assistive technologies, number of participants in the study, sex, age, rehabilitated part of the upper limb using a robot, duration and frequency of treatment, methods of performing rehabilitation exercises, type of evaluation, number of participants in the evaluation process, duration of intervention, study outcomes, and study conclusions. The selection of articles and data extraction was made by three authors based on inclusion and exclusion criteria. Disagreements were resolved through consultation with the fifth author. Inclusion criteria were articles involving upper limb rehabilitation robots, articles about upper limb disability caused by any illness or injury, and articles published in English. Also, articles involving other than upper limb rehabilitation robots, robots related to rehabilitation of diseases other than upper limb, systematic reviews, reviews, and meta-analyses, books, book chapters, letters to the editor, and conference papers were also excluded. Descriptive statistics methods (frequency and percentage) were used to analyses the data.
We finally included 55 relevant articles. Most of the studies were done in Italy (33.82%). Most robots were used to rehabilitate stroke patients (80%). About 60.52% of the studies used games and virtual reality rehabilitate the upper limb disabilities using robots. Among the 14 types of applied evaluation methods, "evaluation and measurement of upper limb function and dexterity" was the most applied evaluation method. "Improvement in musculoskeletal functions", "no adverse effect on patients", and "Safe and reliable treatment" were the most cited outcomes, respectively.
Our findings show that robots can improve musculoskeletal functions (musculoskeletal strength, sensation, perception, vibration, muscle coordination, less spasticity, flexibility, and range of motion) and empower people by providing a variety of rehabilitation capabilities.
神经运动康复及上肢功能的改善对于提高受伤或患有疾病患者的生活质量至关重要。现代方法,如机器人辅助康复,有助于改善康复过程,从而提高上肢功能。因此,本研究旨在探讨机器人在上肢残疾改善及康复中的作用。
本综述通过检索PubMed、科学网、Scopus和IEEE(2012年1月至2022年2月)进行。选取与上肢康复机器人相关的文章。将使用混合方法评估工具(MMAT)对所有纳入研究的方法学质量进行评估。我们使用一份包含18个字段的数据提取表从文章中提取数据,并提取研究年份、国家、研究类型、目的、导致残疾的疾病或事故、残疾程度、辅助技术、研究参与者数量、性别、年龄、使用机器人康复的上肢部位、治疗持续时间和频率、进行康复训练的方法、评估类型、评估过程中的参与者数量、干预持续时间、研究结果和研究结论等信息。文章的筛选和数据提取由三位作者根据纳入和排除标准进行。分歧通过与第五作者协商解决。纳入标准为涉及上肢康复机器人的文章、关于由任何疾病或损伤导致上肢残疾的文章以及以英文发表的文章。此外,涉及上肢康复机器人以外的其他机器人、与上肢以外疾病康复相关的机器人、系统评价、综述和荟萃分析、书籍、书籍章节、给编辑的信件以及会议论文的文章也被排除。使用描述性统计方法(频率和百分比)对数据进行分析。
我们最终纳入了55篇相关文章。大多数研究在意大利进行(33.82%)。大多数机器人用于中风患者的康复(80%)。约60.52%的研究使用游戏和虚拟现实通过机器人来康复上肢残疾。在14种应用的评估方法中,“上肢功能和灵活性的评估与测量”是应用最多的评估方法。“肌肉骨骼功能的改善”、“对患者无不良影响”和“安全可靠的治疗”分别是被引用最多的结果。
我们的研究结果表明,机器人可以改善肌肉骨骼功能(肌肉骨骼力量、感觉、知觉、振动、肌肉协调性、较少痉挛、灵活性和活动范围),并通过提供多种康复能力来增强人们的能力。