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表面电肌谱用于表征糖尿病外围神经病变中的神经肌肉变化
I Junquera-Godoy1, J L Martinez-De-Juan1, G González Lorente1
1Centro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Poltècnica de València, Valencia, Spain.
概括
表面EMG (sEMG) 可以通过分析运动期间的肌肉信号来检测早期糖尿病神经病变 (DSP). 特定的sEMG参数有效地区分健康个体和DSP患者,有助于早期干预.
科学领域:
- 生物医学工程 生物医学工程
- 神经学 神经学
- 糖尿病学 糖尿病学
背景情况:
- 远距离对称性多神经病变 (DSP) 是糖尿病最常见的并发症,占糖尿病神经病变的75%.
- DSP可能会导致严重的后果,如足部和下肢截肢.
- 早期检测对于及时的治疗干预和改善患者结果至关重要.
研究的目的:
- 调查表面电肌图 (sEMG) 参数的实用性,这些参数来源于同度和动态练习,作为早期DSP检测的潜在生物标志物.
- 评估sEMG在识别患DSP风险的个体和监测疾病进展方面的有效性.
- 评估与DSP相关的肌肉电活动的变化.
主要方法:
- 该研究包括61名参与者:34名对照组和27名患有不同程度的DSP严重性的患者.
- 来自四个下肢肌肉的sEMG信号被记录下来:前肢,中部胃角肌,延伸指骨和指骨.
- 记录的sEMG信号在同度和动态练习期间分析了振幅,频率,复杂性和形状特征.
主要成果:
- 在对照组和糖尿病组之间观察到sEMG参数的显著差异,特别是在伸展肌和 flexor digitorum肌.
- 糖尿病患者的sEMG幅度和复杂性降低,频率,峰值和不对称性增加.
- 这些变化在异度和动态炼方案中都很明显,表明神经肌肉功能受损.
结论:
- 特定的sEMG参数,包括根平均平方和样本,在区分对照组和DSP组方面表现出有效性.
- 这些发现表明,DSP患者的运动单元招募和肌肉质量发生变化.
- sEMG 作为一种有前途的非侵入性工具,用于监测糖尿病中神经肌肉变化,以同度和动态练习提供互补的见解.
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