Fatigue analysis of the quadriceps femoris muscle based on mechanomyography

Shin, Isu; Ahn, Sung Jun; Choi, Eun‐Kyoung; Ryu, Jungsu; Son, Jongsang; Kim, Young‐Ho

doi:10.1007/s12541-016-0059-z

Cited by 12 publications

(12 citation statements)

References 28 publications

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“…However, after the pre‐defined 50%PO peak ‘cut‐point’, ECR %TSI behaved differently in relation to a fall of %PO, and these measures of muscle oxygenation and muscle performance were negatively correlated. Our data noted similarities to findings by Muraki et al, wherein during arm cycling, triceps %StO 2 increased along with total hemoglobin and oxyhemoglobin, indicating sufficient oxygen uptake during exercise 40 . These results suggested that the ability of ECR to take up oxygen became limited during FES‐evoked exercise even though there was sufficient oxygen supply as the muscle became fatigued.…”

Section: Discussionsupporting

confidence: 89%

“…Our data noted similarities to findings by Muraki et al, wherein during arm cycling, triceps %StO 2 increased along with total hemoglobin and oxyhemoglobin, indicating sufficient oxygen uptake during exercise. 40 These results suggested that the ability of ECR to take up oxygen became limited during FES-evoked exercise even though there was sufficient oxygen supply as the muscle became fatigued. The general trend of an initial drop followed by a steady increase of %StO 2 throughout the contraction was also reported in healthy subjects.…”

Section: Discussionmentioning

confidence: 91%

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Mechanomyography and tissue oxygen saturation during electrically‐evoked wrist extensor fatigue in people with tetraplegia

et al. 2022

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Background Repetitive electrically‐evoked muscle contractions lead to the early onset of muscle fatigue. This study assessed the relationship between muscle mechanomyography (%RMS‐MMG) and tissue oxygen saturation (%TSI) in extensor carpi radialis (ECR) during electrically‐evoked fatiguing exercise in individuals with tetraplegia. Methods Skin‐surface mechanomyography (MMG) and near‐infrared spectroscopy (NIRS) sensors were placed on the ECR of seven individuals with tetraplegia. All participants performed repetitive electrically‐evoked wrist extension to fatigue while their muscle MMG and NIRS responses were monitored against their power output (PO). Findings: One out of seven participants showed no changes in %TSI throughout the repeated wrist FES‐evoked contraction. The other six participants' %TSI was positively correlated with %PO before fatigue onset. At 50%POpeak, %TSI was negatively correlated (0.489) significantly with declining %PO as the ability of the muscle to take up oxygen became limited. The %RMS‐MMG behaved analogously during pre and post‐fatigue against declining %PO, whereby both displayed positive correlations of 0.443 and 0.214, respectively, (%RMS‐MMG decreased) throughout the exercise session. Regression analysis revealed that %TSI was proportional to pre‐fatigue and inversely proportional to %RMS‐MMG during post‐fatigue. Conclusion The significant changes in muscle mechanomyography and tissue oxygenation correlations after 50%POpeak implied that the muscle contraction mechanical‐and‐physiological behavior association had been altered following FES‐evoked fatigue.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 91%

Mechanomyography and tissue oxygen saturation during electrically‐evoked wrist extensor fatigue in people with tetraplegia

et al. 2022

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“…In applications with comparisons between the MMG signal and the force response the biceps brachii (Orizio et al, 1989) and rectus femoris (Krueger et al, 2016;Shin et al, 2016) are the muscles more used due its easy accessibility and comparison capability.…”

Section: Introductionmentioning

confidence: 99%

“…However, those researchers did not show if there is a trend related to different force levels or if this influence occurs in all (three) accelerometers axes. With the force increase, new motor units located in different places of the muscle are recruited influencing the vibration pattern of each axis (Herda et al, 2010) once the amplitude of MMG for the rectus femoris muscle contraction represents a mechanical 3-axis signal (Shin et al, 2016) and it is generated by the motor units coherence increasing the mechanical wave amplitude (Krueger et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Influence of subcutaneous fat on mechanomyographic signals at three levels of voluntary effort

et al. 2017

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Introduction: This study aims to assess the influence of different skinfold thicknesses (ST) and their relation to the attenuation of the mechanomyographic (MMG) signal at different force levels (maximal voluntary contraction -MVC, 40% of MVC and 70% of MVC) of the rectus femoris muscle. Methods: Fifteen volunteers were divided in two groups: ST lower than 10mm (G<10) (8 participants) and ST higher than 35mm (G>35) (7 participants). Student t tests were employed to investigate differences between G<10 and G>35 regarding MMG analysis parameters (acceleration root mean square -aRMS, zero crossing -ZC, and median frequency -MDF), for the X, Y and Z axes, as well as for the modulus of these three axes.

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“…Several studies have already investigated the applicability of MMG for the assessment of muscle fatigue , mainly from studying the decrease in median frequency (MF) of the power spectral density (PSD) and the increase of the root mean square signal amplitude (RMS). However, nearly all of these studies were conducted in healthy volunteers and without electrical stimulation . As an exception, Decker et al used MMG to assess muscle fatigue in SCI patients during FES cycling and showed the opposite trend of RMS amplitudes.…”

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confidence: 99%

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

2017

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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.

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Fatigue analysis of the quadriceps femoris muscle based on mechanomyography

Cited by 12 publications

References 28 publications

Mechanomyography and tissue oxygen saturation during electrically‐evoked wrist extensor fatigue in people with tetraplegia

Mechanomyography and tissue oxygen saturation during electrically‐evoked wrist extensor fatigue in people with tetraplegia

Influence of subcutaneous fat on mechanomyographic signals at three levels of voluntary effort

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

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