血流限制能减弱疲劳运动时表面机械肌电图的横向和纵向振荡,但不能减弱横向振荡。

IF 2.3 4区 医学 Q3 BIOPHYSICS
Ethan C Hill, Chris E Proppe, Paola M Rivera, Sean M Lubiak, David H Gonzalez Rojas, John E Lawson, Hwan Choi, Hansen Mansy, Joshua L Keller
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引用次数: 0

摘要

目的:表面机械肌电图(sMMG)可测量激活肌纤维在三个轴(即 X、Y 和 Z 轴)上的振荡,并已被用于描述运动单位激活模式(X 轴)。血流限制(BFR)的应用在运动研究中很常见,但袖带可能会限制肌纤维振荡。因此,本调查的目的是研究女性参与者在进行或不进行 BFR 的亚极限疲劳运动时,sMMG 在 X、Y 和 Z 轴振幅上的急性影响:16 名女性(21±1 岁)分别进行了两次达到意志衰竭的运动,包括单侧、亚极限(50% 最大自主等长收缩 [MVIC])、间歇、等长、有无 BFR 的腿部伸展运动。分别建立了双向重复测量方差分析模型:(条件[BFR、非 BFR])×(时间[20、40、60、80 和 100 %TTE]),以检查 X(sMMG-X)、Y(sMMG-Y)和 Z(sMMG-Z)轴的绝对(m-s-2)和归一化(测试前 MVIC 的百分比)sMMG 振幅:主要结果:相对于非 BFR(0.366±0.199m-s-2,按时间折叠),应用 BFR(平均值±SD= 0.236±0.138m-s-2)时 sMMG-X 振幅的绝对反应减弱;在 TTE 的 60-100% 时,sMMG-Y 振幅的绝对反应减弱(BFR 范围=0.213-0.232m-s-2 vs. 非 BFR=0.313-0.445m-s-2)。将 sMMG 与测试前 MVIC 归一化可消除大部分衰减,但并非所有衰减,BFR(72.9±47.2%)和非 BFR(98.9±53.1%)之间 100%TTE 的 sMMG-Y 振幅仍有明显衰减。有趣的是,sMMG-Z 振幅不受 BFR 应用的影响,并且在不同的 %TTE 条件下逐渐减小(0.332±0.167m-s-2 至 0.219±0.104m-s-2,在不同条件下折叠)。施用溴化阻燃剂会减弱 sMMG-X 和 sMMG-Y 的振幅,尽管将 sMMG 归一化可消除大部分衰减。与 X 轴和 Y 轴不同的是,sMMG-Z 振幅不受 BFR 的影响,并在每次运动中逐渐减小,这可能与肌肉疲劳的发展有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood flow restriction attenuates surface mechanomyography lateral and longitudinal, but not transverse oscillations during fatiguing exercise.

Objective. Surface mechanomyography (sMMG) can measure oscillations of the activated muscle fibers in three axes (i.e.X,Y, andZ-axes) and has been used to describe motor unit activation patterns (X-axis). The application of blood flow restriction (BFR) is common in exercise studies, but the cuff may restrict muscle fiber oscillations. Therefore, the purpose of this investigation was to examine the acute effects of submaximal, fatiguing exercise with and without BFR on sMMG amplitude in theX,Y, andZ-axes among female participants.Approach. Sixteen females (21 ± 1 years) performed two separate exercise bouts to volitional exhaustion that consisted of unilateral, submaximal (50% maximal voluntary isometric contraction [MVIC]) intermittent, isometric, leg extensions with and without BFR. sMMG was recorded and examined across percent time to exhaustion (%TTE) in 20% increments. Separate 2-way repeated measures ANOVA models were constructed: (condition [BFR, non-BFR]) × (time [20, 40, 60, 80, and 100% TTE]) to examine absolute (m·s-2) and normalized (% of pretest MVIC) sMMG amplitude in theX-(sMMG-X),Y-(sMMG-Y), andZ-(sMMG-Z) axes.Main results. The absolute sMMG-X amplitude responses were attenuated with the application of BFR (mean ± SD = 0.236 ± 0.138 m·s-2) relative to non-BFR (0.366 ± 0.199 m·s-2, collapsed across time) and for sMMG-Y amplitude at 60%-100% of TTE (BFR range = 0.213-0.232 m·s-2versus non-BFR = 0.313-0.445 m·s-2). Normalizing sMMG to pretest MVIC removed most, but not all the attenuation which was still evident for sMMG-Y amplitude at 100% of TTE between BFR (72.9 ± 47.2%) and non-BFR (98.9 ± 53.1%). Interestingly, sMMG-Z amplitude was not affected by the application of BFR and progressively decreased across %TTE (0.332 ± 0.167 m·s-2to 0.219 ± 0.104 m·s-2, collapsed across condition.)Significance. The application of BFR attenuated sMMG-X and sMMG-Y amplitude, although normalizing sMMG removed most of this attenuation. Unlike theXandY-axes, sMMG-Z amplitude was not affected by BFR and progressively decreased across each exercise bout potentially tracking the development of muscle fatigue.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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