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Mechanomyography‐Based Wearable Monitor of Quasi‐Isometric Muscle Fatigue for Motor Neural Prostheses

机译:基于机制的基于机制的耐磨监测器的电机神经假体的准等距肌疲劳

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摘要

Abstract A motor neural prosthesis based on surface functional electrical stimulation (sFES) can restore functional movement (e.g., standing, walking) in patients with a spinal cord injury (SCI). sFES generates muscle contractions in antigravity muscles and allows balance‐assisted standing. This induced standing has several benefits, such as improved cardiovascular function, decreased incidence of urinary infections, reduced joint contractures, and muscle atrophy. The duration of sFES assisted standing is limited due to the quick onset of muscle fatigue. Currently, there is no method available to reliably estimate real‐time muscle fatigue during sFES. Simply monitoring the M‐wave changes is not suitable due to the high signal disturbances that arise during multi‐channel electrical stimulation. Mechanomyography (MMG) is immune to electrical stimulation artifacts and can be used to detect subtle vibrations on the surface of the skin related to activation of the underlying muscle's motor units (MU). The aim of this study was to develop a method for detecting muscle fatigue brought on by sFES. The method was tested in three different heads of the quadriceps muscle in SCI patients during electrically elicited quasi‐isometric contraction. Six spinal cord–injured male volunteers, with no voluntary control of the quadriceps muscle participated in the study. Electrical bursts of voltage‐controlled monophasic square pulses at frequencies of 1 kHz (50% duty cycle) at 50 Hz (15% duty cycle) were used to generate thigh muscle contractions that controlled the knee joint in the sagittal plane. The pulse amplitudes were set to position the knee joint at a 5° angle from the horizontal plane and when the knee angle dropped to 20° (e.g., the quadriceps were unable to hold the lower leg in the desired position), the test was terminated. Two data segments lasting 10 s each, at the beginning and end of each test, were analyzed. The muscle contraction was assessed by MMG sensors positioned on the rectus femoris, vastus lateralis, and vastus medialis muscles. Data segments were decomposed into 11 frequency bands using a Cauchy wavelet transform. In the initial time interval (non‐fatigued muscle), the power peak was concentrated in the 11.31 Hz frequency band. In the final interval (muscle fatigued) this peak shifted to lower frequencies (2 and 6 Hz frequency bands). The decreased frequency was most prominent during the last 4 s of the recordings. It was shown that MMG could be used as a real‐time indicator of muscle fatigue during FES‐induced isometric contraction of quadriceps; hence, MMG could be used in closed‐loop control as a fatigue detector. Subsequent studies for non‐isometric contractions could possibly lead to prediction of muscle fatigue before contractile failure during functional use of the muscle.
机译:摘要基于表面功能电刺激(SFE)的电动机神经假体可以恢复脊髓损伤(SCI)患者的功能运动(例如,站立,行走)。 SFE在肌肉肌肉中产生肌肉收缩,并允许平衡辅助站立。这种诱导的常产具有几种益处,例如改善的心血管功能,降低尿感染的发生率,减少的关节挛缩和肌肉萎缩。由于肌肉疲劳的快速发作,SFE辅助站立的持续时间受到限制。目前,没有方法可用于可靠地估计SFES期间的实时肌肉疲劳。仅仅监视M波变化不适合于多通道电刺激期间出现的高信号干扰。机械学(MMG)对电刺激伪影免疫,并且可用于检测与潜在的肌肉电机单元(MU)的激活相关的皮肤表面上的微妙振动。本研究的目的是开发一种检测SFE带来的肌肉疲劳的方法。在电引发的准等轴承收缩期间,在SCI患者中在SCI患者的三种不同头部测试该方法。六个脊髓损伤的男性志愿者,没有对研究的Quaddriceps肌肉进行自愿控制。在50Hz(15%占空比)的1kHz(50%占空比)的频率下的电压控制单体脉冲的电爆发用于产生控制在矢状平面中的膝关节的大腿肌肉收缩。将脉冲幅度设定为从水平平面5°角地定位膝关节,并且当膝关节落到20°时(例如,Quadriceps无法将下腿保持在所需位置),终止。分析了两个数据段,每个测试的开头和结束持续10 s。通过位于直肠股骨,夸张的侧面和瓦斯杜塞斯肌肉上的MMG传感器评估肌肉收缩。数据段使用Cauchy小波变换分解为11个频段。在初始时间间隔(非疲劳肌)中,功率峰集中在11.31Hz频带中。在最终间隔(肌肉疲劳)中,该峰值移至较低频率(2和6 Hz频带)。在录音的最后4个中,频率下降最为突出。结果表明,MMG可以用作FES诱导的QuadRiceps等距收缩期间肌肉疲劳的实时指示剂;因此,MMG可用于闭环控制作为疲劳检测器。随后的非等距收缩研究可能导致在肌肉功能使用期间收缩失效前预测肌肉疲劳。

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