Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review

IF 7 2区 医学 Q1 BIOLOGY Computers in biology and medicine Pub Date : 2025-02-03 DOI:10.1016/j.compbiomed.2025.109734
Maykol Santos , Eftim Zdravevski , Carlos Albuquerque , Paulo Jorge Coelho , Ivan Miguel Pires
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Abstract

Objective:

The Ten Meter Walk Test (10MWT) is a vital diagnostic tool for identifying neuromuscular and neurodegenerative conditions. This systematic review explores the potential of wearables, mobile devices, and sensors to enhance the 10MWT’s use in medical gait analysis based on lower limb movements.

Methods:

This systematic review explores the use of wearables, mobile devices, and sensors to improve the 10MWT in medical gait analysis based on lower limb movements. The study uses the PRISMA approach to assess literature from January 2010 to October 2023, highlighting the importance of new technologies like machine learning and artificial intelligence in improving the accuracy and efficiency of the 10MWT.

Results:

The findings demonstrate how technology-enabled 10MWT can help develop specialized treatment strategies and provide a more accurate understanding of disease pathophysiology.

Conclusions:

The paper reviews 17 studies on lower limb movements during the 10MWT, highlighting their importance in assessing medical diseases and gait analysis as a diagnostic tool. It emphasizes the role of technology in rehabilitation and physical therapy, where some studies combine Transcranial Direct Current Stimulation with robotic or wearable technologies.

Significance:

The review comprehensively explains these technologies’ advantages and current use in therapeutic contexts.
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目的:十米步行测试(10MWT)是确定神经肌肉和神经退行性疾病的重要诊断工具。本系统性综述探讨了可穿戴设备、移动设备和传感器在基于下肢运动的医学步态分析中提高 10MWT 使用率的潜力。方法:本系统性综述探讨了可穿戴设备、移动设备和传感器在基于下肢运动的医学步态分析中提高 10MWT 使用率的潜力。研究采用PRISMA方法评估了2010年1月至2023年10月期间的文献,强调了机器学习和人工智能等新技术在提高10MWT准确性和效率方面的重要性。结果:研究结果表明了技术驱动的10MWT如何帮助制定专门的治疗策略,并提供对疾病病理生理学更准确的理解。结论:本文回顾了17项关于10MWT期间下肢运动的研究,强调了其在评估医学疾病和步态分析作为诊断工具方面的重要性。论文强调了技术在康复和物理治疗中的作用,其中一些研究将经颅直流电刺激与机器人或可穿戴技术相结合。
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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
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