Laboratory for Paediatric Motion Analysis and Biofeedback Rehabilitation, ALYN Paediatric and Adolescent Rehabilitation Research Centre (ALYN PARC), Jerusalem, Israel.
Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Rehabilitation Medicine, Amsterdam UMC, Amsterdam, Netherlands.
J Electromyogr Kinesiol. 2022 Oct;66:102697. doi: 10.1016/j.jelekin.2022.102697. Epub 2022 Aug 17.
To evaluate the influence of the number of muscles and strides on estimating motor control accuracy during treadmill-gait, in individuals with cerebral palsy (CP).
Bilateral lower limb electromyography data were extracted for 44 children/adolescents with CP. The number of synergy solutions required to explain 90 % of the variance (tVAF-threshold) and the total variance accounted for by one synergy (tVAF) were calculated for a different number of strides (between 5 and 50) and muscles both unilaterally (four to seven) and bilaterally (eight to 14). The kappa and intraclass correlation coefficients were used to assess similarities in tVAF-threshold and tVAF between the different number of strides and muscle sets.
In both analyses, the number of muscles influenced the tVAF-threshold. Additionally, using <30 strides led to only substantial-moderate agreement with 50 strides (k < 0.80). In both analyses, the mean tVAF values demonstrated high-agreement between the different number of muscles (intraclass-correlations = 0.88-0.93) and strides (intraclass-correlations = 0.96-0.99); In the group level, it may result in an error of ≤2.3 %. However, in the individual level, using different number of muscles or <40 strides may result in an error of ≥6 %.
Differing numbers of muscles and strides did not influence the group mean tVAF value, but it influenced the tVAF-threshold value. In addition, using different number of muscles or strides can lead to a large measurement error in the individual tVAF value.
评估在脑瘫患者的跑步机步态中,肌肉数量和步伐数对估计运动控制精度的影响。
提取了 44 名脑瘫儿童/青少年的双侧下肢肌电图数据。计算了不同数量的步伐(5-50 步)和肌肉(单侧 4-7 块肌肉,双侧 8-14 块肌肉)所需的协同解数量,以解释 90%的方差(tVAF-阈值)和一个协同解所解释的总方差(tVAF)。使用kappa 和组内相关系数评估不同数量的步伐和肌肉集之间的 tVAF-阈值和 tVAF 的相似性。
在这两种分析中,肌肉数量都会影响 tVAF-阈值。此外,使用<30 步仅与 50 步有实质性中度一致(k < 0.80)。在这两种分析中,不同肌肉数量之间的平均 tVAF 值表现出高度一致性(组内相关系数= 0.88-0.93)和不同步伐数之间的高度一致性(组内相关系数= 0.96-0.99);在群体水平上,可能会导致误差≤2.3%。然而,在个体水平上,使用不同数量的肌肉或<40 步可能会导致个体 tVAF 值的误差≥6%。
不同数量的肌肉和步伐不会影响组平均 tVAF 值,但会影响 tVAF-阈值值。此外,使用不同数量的肌肉或步伐可能会导致个体 tVAF 值的测量误差较大。