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肌电图和通气测试中的轮椅推进疲劳阈值。

Wheelchair propulsion fatigue thresholds in electromyographic and ventilatory testing.

机构信息

School of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China.

Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, T6G 2G4, Canada.

出版信息

Spinal Cord. 2020 Oct;58(10):1104-1111. doi: 10.1038/s41393-020-0470-2. Epub 2020 May 4.

DOI:10.1038/s41393-020-0470-2
PMID:32367012
Abstract

STUDY DESIGN

Qualitative study.

OBJECTIVE

The objective of the present study are physiological processes occurring when the intensity of manual wheelchair propulsion approaches levels causing muscular fatigue. In particular, we set out to (1) detect the electromyographic (EMG) and ventilatory fatigue threshold during a single wheelchair incremental test, (2) examine the relationship between EMG threshold (EMGT) and ventilatory threshold (VT), and (3) detect the EMG threshold differences between the propulsive and recovery muscle synergies.

SETTING

Biomechanics laboratory at the University of Alberta, Canada.

METHODS

Oxygen uptake and EMG signals from ten wheelchair users (seven males and three females) were recorded as they were each performing an incremental propulsion bout in their own wheelchairs on a wheelchair ergometer. The V-slope method was used to identify the VT, and the EMGT of each of the eight muscles (anterior deltoid, middle deltoid, posterior deltoid, infraspinatus, upper trapezius, sternal head of pectoralis major, biceps brachii, and triceps brachii) was determined using the bisegmental linear regression method.

RESULTS

For each participant, we were able to determine the EMGT and VT from a single incremental wheelchair propulsion bout. EMGT stands in good agreement with VT, and there was a high similarity in EMGT between push and recovery muscles (intraclass correlation coefficient = 0.91).

CONCLUSION

The EMG fatigue threshold method can serve as a valid and reliable tool for identifying the onset of muscular fatigue during wheelchair propulsion, thus providing a foundation for automated muscle fatigue detection/prediction in wearable technology.

摘要

研究设计

定性研究。

目的

本研究的目的是研究当手动轮椅推进强度接近引起肌肉疲劳的水平时发生的生理过程。具体而言,我们旨在(1)在单次轮椅递增测试中检测肌电图(EMG)和通气疲劳阈值,(2)检查 EMG 阈值(EMGT)和通气阈值(VT)之间的关系,以及(3)检测推进和恢复肌肉协同作用之间的 EMG 阈值差异。

设置

加拿大阿尔伯塔大学生物力学实验室。

方法

当十名轮椅使用者(七名男性和三名女性)各自在轮椅测功机上使用自己的轮椅进行递增推进时,记录他们的耗氧量和 EMG 信号。使用 V 斜率法确定 VT,使用双段线性回归法确定每个 8 块肌肉(三角肌前束、三角肌中束、三角肌后束、冈下肌、斜方肌上束、胸骨胸大肌头、肱二头肌和肱三头肌)的 EMGT。

结果

对于每个参与者,我们都能够从单次递增轮椅推进测试中确定 EMGT 和 VT。EMGT 与 VT 非常吻合,并且推和恢复肌肉的 EMGT 非常相似(组内相关系数=0.91)。

结论

EMG 疲劳阈值方法可作为一种有效且可靠的工具,用于识别轮椅推进过程中肌肉疲劳的发生,从而为可穿戴技术中的自动肌肉疲劳检测/预测奠定基础。

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