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一种基于力传感器的紧凑型前臂拐杖用于辅助步态:可靠性与有效性

A Compact Forearm Crutch Based on Force Sensors for Aided Gait: Reliability and Validity.

作者信息

Chamorro-Moriana Gema, Sevillano José Luis, Ridao-Fernández Carmen

机构信息

Department of Physiotherapy, University of Seville, Sevilla 41009, Spain.

Department of Computer Technology and Architecture, University of Seville, Sevilla 41012, Spain.

出版信息

Sensors (Basel). 2016 Jun 21;16(6):925. doi: 10.3390/s16060925.

Abstract

Frequently, patients who suffer injuries in some lower member require forearm crutches in order to partially unload weight-bearing. These lesions cause pain in lower limb unloading and their progression should be controlled objectively to avoid significant errors in accuracy and, consequently, complications and after effects in lesions. The design of a new and feasible tool that allows us to control and improve the accuracy of loads exerted on crutches during aided gait is necessary, so as to unburden the lower limbs. In this paper, we describe such a system based on a force sensor, which we have named the GCH System 2.0. Furthermore, we determine the validity and reliability of measurements obtained using this tool via a comparison with the validated AMTI (Advanced Mechanical Technology, Inc., Watertown, MA, USA) OR6-7-2000 Platform. An intra-class correlation coefficient demonstrated excellent agreement between the AMTI Platform and the GCH System. A regression line to determine the predictive ability of the GCH system towards the AMTI Platform was found, which obtained a precision of 99.3%. A detailed statistical analysis is presented for all the measurements and also segregated for several requested loads on the crutches (10%, 25% and 50% of body weight). Our results show that our system, designed for assessing loads exerted by patients on forearm crutches during assisted gait, provides valid and reliable measurements of loads.

摘要

通常,一些下肢受伤的患者需要使用前臂拐杖来部分减轻负重。这些损伤会导致下肢卸载时疼痛,其进展情况应进行客观控制,以避免在准确性上出现重大误差,进而避免损伤引发并发症和后遗症。设计一种新的可行工具很有必要,它能让我们在辅助步态期间控制并提高施加在前臂拐杖上的负荷的准确性,从而减轻下肢负担。在本文中,我们描述了这样一种基于力传感器的系统,我们将其命名为GCH系统2.0。此外,我们通过与经过验证的美国马萨诸塞州沃特敦市先进机械技术公司(AMTI)的OR6 - 7 - 2000平台进行比较,确定了使用该工具获得的测量结果的有效性和可靠性。组内相关系数表明AMTI平台与GCH系统之间具有极好的一致性。找到了一条回归线来确定GCH系统对AMTI平台的预测能力,其精度达到了99.3%。针对所有测量结果进行了详细的统计分析,并且还按拐杖上的几个要求负荷(体重的10%、25%和50%)进行了分类统计分析。我们的结果表明,我们设计的用于评估患者在辅助步态期间施加在前臂拐杖上的负荷的系统,能够提供有效且可靠的负荷测量结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f4/4934350/1c90ce280232/sensors-16-00925-g001.jpg

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