在呼吸道肌肉中实现表面电肌图谱正常化的方法:肌缩性侧面硬化症和健康人之间是否相似?
Thiago Bezerra Wanderley E Lima1,2, Jessica Danielle Medeiros da Fonseca1,2, Ana Aline Marcelino da Silva1,2
1PneumoCardioVascular Lab/Hospital Universitário Onofre Lopes (HUOL), Empresa Brasileira de Serviços Hospitalares (EBSERH), Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
PloS one
|December 20, 2024
概括
正常化呼吸道肌肉信号的最佳方法在健康个体和患有ALS的人之间有所不同. 最大自愿同度收缩 (MVIC) 对于健康人群来说是理想的,而SNIP对于ALS的灵感肌肉来说更好.
科学领域:
- 身体生理学 身体生理学
- 神经肌肉疾病 神经肌肉疾病
- 生物医学工程 生物医学工程
背景情况:
- 表面电肌图 (sEMG) 对于评估呼吸道肌肉功能至关重要.
- 对sEMG信号的正常化对于准确的解释至关重要,特别是在临床人群中,如那些患有骨髓变质侧面硬化症 (ALS) 的人群中.
- 由于疾病特异性神经肌肉变化,健康个体和ALS患者之间的最佳正常化方法可能会有所不同.
研究的目的:
- 为了比较呼吸肌肉sEMG信号的不同规范化方法.
- 为健康受试者和患有ALS的个体确定最有效的正常化方法.
- 在呼吸肌研究和临床实践中提高sEMG分析的可靠性.
主要方法:
- 一项涉及50名健康受试者和17名ALS患者的横截面研究.
- 在关键呼吸道肌肉 (SCM,ESC,DIA,PS,EI,EO,RA) 中分析sEMG活动.
- 评估正常化使用机动,如最大吸入压力 (MIP),SNIP,MEP,和最大自愿同度收缩 (MVIC).
主要成果:
- 在健康受试者中,MVIC机动为吸气和呼气肌肉产生了更高的电活动.
- 在ALS患者中,SNIP操作显示出更高的灵感肌肉活动,而MVIC显示出更高的呼吸肌肉活动.
- 在群体和机动之间观察到肌肉活动模式的显著差异 (p<0.05).
结论:
- 建议在健康人群中进行最大自愿同度收缩 (MVIC),以使呼吸肌的sEMG正常化.
- 建议使用SNIP机动来使ALS患者的启发性肌肉sEMG正常化.
- 为了在健康人群和ALS人群中准确的sEMG分析,需要不同的正常化策略.
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