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不同肌电图(EMG)标准化方法评估盆底肌的可靠性。

Reliability of different electromyographic normalization methods for pelvic floor muscles assessment.

机构信息

Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.

Physical Therapy Department, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.

出版信息

Neurourol Urodyn. 2020 Apr;39(4):1145-1151. doi: 10.1002/nau.24332. Epub 2020 Mar 2.

Abstract

AIMS

To evaluate the reliability of different methods to normalize pelvic floor muscles (PFM) electromyography (EMG).

METHODS

Thirty nulliparous women (23.9 ± 3.2 years), free from PFM dysfunction, completed two test sessions 7 days apart. For EMG normalization, signals were acquired during four different tasks using a vaginal probe in situ: PFM maximal voluntary contraction (MVC) and three daily activities with increased intra-abdominal pressure (coughing, Valsalva maneuver, and abdominal contraction). The intraclass correlation coefficients (ICC), standard error of measurement (SEM), relative standard error of measurement (%SEM), and minimal detectable change (MDC) were calculated for each variable.

RESULTS

ICC values for test-retest reliability of normalization methods ranged from 0.61 to 0.95. The highest values were obtained for mean root mean square (RMS) of the abdominal contraction and peak RMS of PFM-MVC. Normalization using RMS of PFM-MVC showed the lowest values of SEM and MDC.

CONCLUSIONS

The normalization of EMG data is considered a fundamental part of EMG investigations. These findings suggest that the normalization of PFM-EMG by either peak RMS of PFM-MVC or mean and peak RMS of abdominal contraction has excellent reliability and it can be applied in studies involving the evaluation of young women.

摘要

目的

评估不同方法对盆底肌肌电图(PFM-EMG)进行归一化的可靠性。

方法

30 名无生育史的女性(23.9±3.2 岁),无盆底肌功能障碍,在 7 天内完成了两次测试。对于 EMG 归一化,使用阴道探头原位采集了四种不同任务下的信号:PFM 最大自主收缩(MVC)和三种增加腹内压的日常活动(咳嗽、瓦尔萨尔手法和腹部收缩)。计算了每个变量的组内相关系数(ICC)、测量标准误差(SEM)、相对测量标准误差(%SEM)和最小可检测变化(MDC)。

结果

归一化方法的测试-重测可靠性的 ICC 值范围为 0.61 至 0.95。腹收缩的 RMS 平均值和 PFM-MVC 的 RMS 峰值的归一化值最高。使用 PFM-MVC 的 RMS 进行归一化显示出最小的 SEM 和 MDC 值。

结论

EMG 数据的归一化被认为是 EMG 研究的基本部分。这些发现表明,通过 PFM-MVC 的 RMS 峰值或腹部收缩的 RMS 平均值和峰值对 PFM-EMG 进行归一化具有极好的可靠性,可应用于评估年轻女性的研究。

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