Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases

ObjectiveTo review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by...

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Main Authors: GUO Yixuan, GAO Yi, YAO Yiyang, QIN Zhuoyue, ZHANG Yaofang, JING Jiaqi, XIE Jing, GUO Jian, ZHANG Shuyang
Format: Article
Language:zho
Published: Editorial Office of Journal of Rare Diseases 2025-01-01
Series:罕见病研究
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Online Access:https://jrd.chard.org.cn/article/doi/10.12376/j.issn.2097-0501.2025.01.016
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author GUO Yixuan
GAO Yi
YAO Yiyang
QIN Zhuoyue
ZHANG Yaofang
JING Jiaqi
XIE Jing
GUO Jian
ZHANG Shuyang
author_facet GUO Yixuan
GAO Yi
YAO Yiyang
QIN Zhuoyue
ZHANG Yaofang
JING Jiaqi
XIE Jing
GUO Jian
ZHANG Shuyang
author_sort GUO Yixuan
collection DOAJ
description ObjectiveTo review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases.MethodsWe searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed.ResultsA total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability.ConclusionsDI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.
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publisher Editorial Office of Journal of Rare Diseases
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series 罕见病研究
spelling doaj-art-e218fdc748bf4da8b772b88c5e19ea312025-08-20T03:49:31ZzhoEditorial Office of Journal of Rare Diseases罕见病研究2097-05012025-01-014112213110.12376/j.issn.2097-0501.2025.01.016Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular DiseasesGUO YixuanGAO YiYAO Yiyang0QIN Zhuoyue1ZHANG Yaofang2JING Jiaqi3XIE JingGUO Jian4ZHANG ShuyangSchool of Public Health, Shanxi Medical University, Taiyuan 030001, ChinaSchool of Public Health, Shanxi Medical University, Taiyuan 030001, ChinaSchool of Public Health, Shanxi Medical University, Taiyuan 030001, ChinaSchool of Public Health, Shanxi Medical University, Taiyuan 030001, ChinaState Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, ChinaObjectiveTo review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases.MethodsWe searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed.ResultsA total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability.ConclusionsDI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.https://jrd.chard.org.cn/article/doi/10.12376/j.issn.2097-0501.2025.01.016neuromuscular diseasesrare diseasesdigitizationintelligentizationrehabilitation
spellingShingle GUO Yixuan
GAO Yi
YAO Yiyang
QIN Zhuoyue
ZHANG Yaofang
JING Jiaqi
XIE Jing
GUO Jian
ZHANG Shuyang
Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
罕见病研究
neuromuscular diseases
rare diseases
digitization
intelligentization
rehabilitation
title Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
title_full Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
title_fullStr Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
title_full_unstemmed Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
title_short Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
title_sort current research status of digital technology in the rehabilitation of rare neurological and muscular diseases
topic neuromuscular diseases
rare diseases
digitization
intelligentization
rehabilitation
url https://jrd.chard.org.cn/article/doi/10.12376/j.issn.2097-0501.2025.01.016
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