Physical Therapy Department, Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, MG, Brazil.
Graduate Program in Rehabilitation Sciences, School of Physical Education, Physical Therapy and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Braz J Phys Ther. 2020 Sep-Oct;24(5):392-398. doi: 10.1016/j.bjpt.2019.05.007. Epub 2019 Jun 12.
To compare the gait event identification of five algorithms recommended in the literature with those provided by force plate (gold standard) in children with unilateral or bilateral spastic cerebral palsy (SCP).
This was a cross-sectional study of the gait of three girls and four boys with a mean age of 8.6±4.7 years. Four children had unilateral SCP with an equinus gait pattern, and the remaining three children exhibited bilateral SCP with a slide/drag gait pattern. Kinematic and kinetic gait data were collected during barefoot walking at a comfortable speed. From a total of 202 steps, the detection of 202 foot-strike (FS) and 194 toe-off (TO) events by each algorithm was compared with the detection of these same events by the force plate. The error between the events detected by the algorithms and those detected by the force plate was determined in milliseconds. Repeated measures ANOVA was used to compare the errors among the algorithms.
The algorithm reported by Ghoussayni et al. showed the best performance in all situations, except for the identification of FS events on the unaffected side in children with unilateral SCP. For these events, the algorithms reported by Desailly et al. and Zeni et al. showed the best performance.
Ghoussayni et al.'s algorithm can be used to detect gait events in children with SCP when a force plate is not available.
比较文献中推荐的 5 种算法与足底力平板(金标准)在单侧或双侧痉挛性脑瘫(SCP)儿童中的步态事件识别结果。
这是一项对 3 名女孩和 4 名男孩的步态进行的横断面研究,平均年龄为 8.6±4.7 岁。4 名儿童患有单侧 SCP,表现为马蹄内翻足步态模式,其余 3 名儿童患有双侧 SCP,表现为滑动/拖拉步态模式。在以舒适速度赤脚行走时,采集运动学和动力学步态数据。在总共 202 步中,每个算法对 202 个足触地(FS)和 194 个足离地(TO)事件的检测与力板的检测进行了比较。算法检测到的事件与力板检测到的事件之间的误差以毫秒为单位确定。重复测量方差分析用于比较算法之间的误差。
Ghoussayni 等人报告的算法在所有情况下表现最好,除了单侧 SCP 儿童的未受影响侧 FS 事件的识别。对于这些事件,Desailly 等人和 Zeni 等人报告的算法表现最好。
当没有足底力平板时,Ghoussayni 等人的算法可用于检测 SCP 儿童的步态事件。