Walking speed measurement technology: A review.

Walking speed measurement technology: A review.
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DOI:
10.1007/s13670-020-00349-z
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发表时间:
2021-03
影响因子:
1.2
通讯作者:
Hirth V
Hirth V
中科院分区:
其他
文献类型:
--
作者:
MejiaCruz Y;Franco J;Hainline G;Fritz S;Jiang Z;Caicedo JM;Davis B;Hirth V

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本文概述了用于估计步态参数的主要技术,重点是步行速度(WS)。在过去的五年里,新的可穿戴和环境技术已经被开发出来。可穿戴技术是指附着在患者身体部位的传感器,它可以捕捉患者行走时的运动学信息。另外,环境技术使用外部仪器捕捉行走模式。在这篇综述中,可穿戴技术和外部技术被包括在内。从所审查的不同工程来看,外部技术面临在受控设施外实施的挑战;这是可穿戴技术所具有的优势,但尚未得到充分开发。此外,还没有开发出可以跟踪日常活动中WS变化的系统,特别是在家评估。步行速度是一种步态参数,可以深入了解个人的健康状况。基于图像、通道、可穿戴和地板振动技术是目前用于估算WS的最常用技术。本文介绍了过去五年的研究,探讨了每种技术在WS估计方面的能力,并对其技术和临床方面进行了评估。
This article presents an overview of the main technologies used to estimate gait parameters, focusing on walking speed (WS). New wearable and environmental technologies to estimate WS have been developed in the last five years. Wearable technologies refer to sensors attached to parts of the patient’s body that capture the kinematics during walking. Alternatively, environmental technologies capture walking patterns using external instrumentation. In this review, wearable and external technologies have been included. From the different works reviewed, external technologies face the challenge of implementation outside controlled facilities; an advantage that wearable technologies have, but have not been fully explored. Additionally, systems that can track WS changes in daily activities, especially at-home assessments, have not been developed. Walking speed is a gait parameter that can provide insight into an individual’s health status. Image-based, walkways, wearable, and floor-vibrations technologies are the most current used technologies for estimating WS. In this paper, research from the last five years that explore each technology’s capabilities on WS estimation and an evaluation of their technical and clinical aspects is presented.
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