Detection of gait events using an F-Scan in-shoe pressure measurement system
Detection of gait events using an F-Scan in-shoe pressure measurement system
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DOI：
10.1016/j.gaitpost.2008.01.019
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发表时间：
2008-10-01
期刊：
影响因子：
2.4
通讯作者：
Ewins, David
中科院分区：
文献类型：
--
作者：
Catalfamo, Paola;Moser, David;Ewins, David
在许多步态分析应用中，能够准确检测初始接触(IC)和脚离开(FO)而不增加对象负担的便携式系统将是非常有用的。测力平台是确定这些事件的黄金标准方法，还提出了包括脚踏开关和运动学数据在内的其他方法。然而，这些方法在每次试验可以分析的步骤数量、户外测量的便携性或预先需要的信息方面存在局限性。本研究的目的是评估F-SCAN(R)移动压力测量系统在检测IC和FO时的性能。使用了两种方法，一种是F-SCAN软件内置的力检测(FD)算法，另一种是利用步态周期中的加载区域进行区域检测(AD)的新方法。这两种方法都在10名健康成年人身上进行了测试，并与动力学检测(KT)算法提供的检测进行了比较。KT与FD的绝对平均差值IC为42+/-11ms，FO为37+/-11ms。KT与AD的绝对平均差值IC为22+/-9ms，FO为10+/-4ms。AD方法仍然接近于所有受试者的KT检测，对这两个事件提供了足够准确的检测，并在便携性、每次试验分析的步数和实用性方面表现出优势，使其成为步态事件检测的首选系统。(C)2008爱思唯尔B.V.保留所有权利。
A portable system capable of accurate detection of initial contact (IC) and foot off (FO) without adding encumbrance to the subject would be extremely useful in many gait analysis applications. Force platforms represent the gold standard method for determining these events and other methods including foot switches and kinematic data have also been proposed. These approaches, however, present limitations in terms of the number of steps that can be analysed per trial, the portability for outdoor measurements or the information needed beforehand. The purpose of this study was to evaluate the F-Scan (R) Mobile pressure measurement system when detecting IC and FO. Two methods were used, one was the force detection (FD) in-built algorithm used by F-Scan software and a new area detection (AD) method using the loaded area during the gait cycle. Both methods were tested in ten healthy adults and compared with the detection provided by a kinetic detection (KT) algorithm. The absolute mean differences between KT and FD were (mean standard deviation) 42 +/- 11 ms for IC and 37 +/- 11 ms for FO. The absolute mean differences between KT and AD were 22 +/- 9 ins for IC and 10 +/- 4 ms for FO. The AD method remained closer to KT detection for all subjects providing sufficiently accurate detection of both events and presenting advantages in terms of portability, number of steps analysed per trial and practicality as to make it a system of choice for gait event detection. (C) 2008 Elsevier B.V. All rights reserved.