Gennadii E. Sheiko, A. Belova, N. N. Rukina, N. L. Korotkova
{"title":"Possibilities of using biomechanical human motion capture systems in medical rehabilitation (review)","authors":"Gennadii E. Sheiko, A. Belova, N. N. Rukina, N. L. Korotkova","doi":"10.36425/rehab109488","DOIUrl":null,"url":null,"abstract":"Biomechanical motion capture is the most accurate non-contact instrumental method of studying human locomotion and is increasingly being used in the medical rehabilitation of patients with various diseases. Human motion capture systems are promising tools for clinical use to assess and control the correct execution of movements, as well as to identify injury risk factors. Currently, human motion capture systems are mainly used only in scientific research. The development and implementation of biomechanical motion capture systems in clinical practice can help doctors determine the best solution when planning medical rehabilitation and, thereby, reduce the recovery time of patients. This review aims to present up-to-date data on motion capture techniques and features of their application in the medical rehabilitation of patients with diseases of the nervous system. The review provides a brief overview of the existing technologies for the study of locomotor functions. The principles of operation, advantages and disadvantages of optoelectronic, electromagnetic, inertial and ultrasonic measuring systems are presented. The review describes in detail the possibilities of biomechanical motion capture in conducting a personalized diagnostic process, planning and evaluating the results of medical rehabilitation in patients with stroke, Parkinson's disease, cerebral palsy, spinal cord injury and multiple sclerosis. The search was conducted in the databases elibrary, PubMed, Scopus, Web of Science and Google Academy (Google Scholar). The review includes studies in which motion capture systems were used and spatial-temporal, kinematic, kinetic and electromyographic parameters were analyzed.","PeriodicalId":142894,"journal":{"name":"Physical and rehabilitation medicine, medical rehabilitation","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical and rehabilitation medicine, medical rehabilitation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36425/rehab109488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Biomechanical motion capture is the most accurate non-contact instrumental method of studying human locomotion and is increasingly being used in the medical rehabilitation of patients with various diseases. Human motion capture systems are promising tools for clinical use to assess and control the correct execution of movements, as well as to identify injury risk factors. Currently, human motion capture systems are mainly used only in scientific research. The development and implementation of biomechanical motion capture systems in clinical practice can help doctors determine the best solution when planning medical rehabilitation and, thereby, reduce the recovery time of patients. This review aims to present up-to-date data on motion capture techniques and features of their application in the medical rehabilitation of patients with diseases of the nervous system. The review provides a brief overview of the existing technologies for the study of locomotor functions. The principles of operation, advantages and disadvantages of optoelectronic, electromagnetic, inertial and ultrasonic measuring systems are presented. The review describes in detail the possibilities of biomechanical motion capture in conducting a personalized diagnostic process, planning and evaluating the results of medical rehabilitation in patients with stroke, Parkinson's disease, cerebral palsy, spinal cord injury and multiple sclerosis. The search was conducted in the databases elibrary, PubMed, Scopus, Web of Science and Google Academy (Google Scholar). The review includes studies in which motion capture systems were used and spatial-temporal, kinematic, kinetic and electromyographic parameters were analyzed.
生物力学运动捕捉是研究人体运动的最精确的非接触式仪器方法,越来越多地应用于各种疾病患者的医学康复。人体运动捕捉系统是临床应用的有前途的工具,用于评估和控制运动的正确执行,以及识别伤害风险因素。目前,人体动作捕捉系统主要只用于科学研究。在临床实践中,生物力学运动捕捉系统的开发和实施可以帮助医生在制定医疗康复计划时确定最佳解决方案,从而减少患者的恢复时间。本文旨在介绍运动捕捉技术的最新数据及其在神经系统疾病患者医学康复中的应用特点。本文简要介绍了运动功能研究的现有技术。介绍了光电、电磁、惯性和超声波测量系统的工作原理和优缺点。该综述详细描述了生物力学运动捕捉在进行个性化诊断过程、规划和评估中风、帕金森病、脑瘫、脊髓损伤和多发性硬化症患者的医疗康复结果方面的可能性。在数据库library、PubMed、Scopus、Web of Science和Google Academy (Google Scholar)中进行搜索。综述包括运动捕捉系统的研究,并分析了时空、运动学、动力学和肌电图参数。