J Sport Rehabil. 2021 Jan 13;30(5):731-736. doi: 10.1123/jsr.2020-0307.
Traditionally, quadriceps activation failure after anterior cruciate ligament reconstruction (ACLR) is estimated using discrete isometric torque values, providing only a snapshot of neuromuscular function. Sample entropy (SampEn) is a mathematical technique that can measure neurologic complexity during the entirety of contraction, elucidating qualities of neuromuscular control not previously captured.
To apply SampEn analyses to quadriceps electromyographic activity in order to more comprehensively characterize neuromuscular deficits after ACLR.
Cross-sectional.
Laboratory.
ACLR: n = 18; controls: n = 24.
All participants underwent synchronized unilateral quadriceps isometric strength, activation, and electromyography testing during a superimposed electrical stimulus.
Group differences in strength, activation, and SampEn were evaluated with t tests. Associations between SampEn and quadriceps function were evaluated with Pearson product-moment correlations and hierarchical linear regressions.
Vastus medialis SampEn was significantly reduced after ACLR compared with controls (P = .032). Vastus medialis and vastus lateralis SampEn predicted significant variance in activation after ACLR (r2 = .444; P = .003).
Loss of neurologic complexity correlates with worse activation after ACLR, particularly in the vastus medialis. Electromyographic SampEn is capable of detecting underlying patterns of variability that are associated with the loss of complexity between key neurophysiologic events after ACLR.
传统上,前交叉韧带重建(ACLR)后股四头肌激活失败是通过离散等长扭矩值来估计的,只能提供神经肌肉功能的快照。样本熵(SampEn)是一种数学技术,可在整个收缩过程中测量神经复杂性,阐明以前未捕获的神经肌肉控制质量。
应用 SampEn 分析股四头肌肌电图活动,以更全面地描述 ACLR 后神经肌肉缺陷。
横截面。
实验室。
ACLR:n = 18;对照组:n = 24。
所有参与者均接受同步单侧股四头肌等长强度、激活和肌电图测试,同时叠加电刺激。
采用 t 检验评估组间力量、激活和 SampEn 的差异。采用 Pearson 积矩相关和层次线性回归评估 SampEn 与股四头肌功能之间的关系。
与对照组相比,ACLR 后股直肌 SampEn 显著降低(P =.032)。股直肌和股外侧肌 SampEn 预测 ACLR 后激活的显著方差(r2 =.444;P =.003)。
神经复杂性的丧失与 ACLR 后激活不良相关,尤其是股直肌。肌电图 SampEn 能够检测到与 ACLR 后关键神经生理事件丧失复杂性相关的潜在变异性模式。