The effect of skinfold on frequency of human muscle mechanomyogram

Jaskólska, Anna; Brzenczek, Wioletta; Kisiel-Sajewicz, Katarzyna; Kawczyński, Adam; Marusiak, Jarosław; Jaskólski, Artur

doi:10.1016/j.jelekin.2003.08.001

Cited by 55 publications

(74 citation statements)

References 5 publications

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“…Herda et al (2010) observed differences when smaller and larger ST were related in progressive isometry using linear regression for MMG RMS vs. force relationships. In their study, those who trained endurance had smaller ST than the sedentary ones, in which the ST appear to have acted as a low-pass filter, supporting the work of Jaskólska et al (2003), which confirmed the hypothesis of fat acting as a low-pass filter after correlating ST with age and isometric strength.…”

Section: Introductionsupporting

confidence: 53%

“…The amplitude of the signal generated by the skeletal muscle may be influenced by factors such as number of recruited motor units (MU) (Akataki et al, 2004;Herda and Cooper, 2015), firing rates of the active MUs (Orizio et al, 2003), distance between MUs and sensors (MMG), electrodes (EMG) (Barkhaus and Nandedkar, 1994), and interference of elements such as skin, liquids, and subcutaneous fat (Jaskólska et al, 2003). These events are widely reported in the literature, especially in studies with EMG (Barkhaus and Nandedkar, 1994;Marusiak et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…However, signals generated by the muscle may suffer attenuation when propagated through tissues such as subcutaneous fat, thus hindering signal acquisition (Baars et al, 2007;Herda et al, 2010;Herda et al, 2011;Jaskólska et al, 2003;Yoshitake et al, 2002) and possibly attenuating signals as a low-pass filter (Cooper and Herda, 2014). Interferences in signal acquisition are found in studies that verified the influence of different skinfold thicknesses (ST) on the acquisition of MMG where the MMG signals were attenuated in muscles covered with high percentages of subcutaneous fat (Cooper et al, 2014;Herda et al, 2010;Herda et al, 2011;Trevino and Herda, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Studies with different force levels (Cochrane et al, 2015;Cooper et al, 2014;Jaskólska et al, 2003;Polato et al, 2008) reported significant differences when evaluating different intensities of isometric force with ST in larger and smaller fat layers. 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.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionsupporting

confidence: 53%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…Recently, it has been widely analyzed along with EMG for different purposes [18][19][20], such as control of a prosthesis with 2 degrees of freedom [21]. However, MMG can be affected by many factors, such as muscle temperature [22], skinfold thickness [23], and external mechanical noise [24]. These factors, together with challenges in sensor attachment and low-frequency noise elimination, can affect the stability and reliability of the MMG signal, thus limiting its application in fatigue assessment and prosthesis control.…”

Section: Introductionmentioning

confidence: 99%

Dynamic monitoring of forearm muscles using one-dimensional sonomyography system

Guo

Zheng

Huang

et al. 2008

JRRD

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Abstract-We introduce a method, known as one-dimensional sonomyography (1-D SMG), that uses A-mode ultrasound signals to detect dynamic thickness changes in skeletal muscle during contraction. We custom-designed a 1-D SMG system to collect synchronized A-mode ultrasound, joint angle, and surface electromyography (EMG) signals of forearm muscles during wrist extension. We extracted the 1-D SMG signal from the ultrasound signal by automatically tracking the corresponding echoes, which we then used to calculate muscle thickness changes. We tested the right forearm muscles of nine nondisabled young subjects while they performed wrist extensions at 15.0, 22.5, and 30.0 cycles/min and their largest wrist extension angle ranged from 80° to 90°. We found that the muscle deformation and EMG root mean square signals correlated linearly with wrist extension angle. The ratio of deformation to wrist angle was significantly different among the subjects (p < 0.001) but not among the trials of different extension rates for each subject (p = 0.9). The results demonstrate that 1-D SMG can be reliably performed and that it has the potential for skeletal muscle assessment and prosthesis control.

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Mechanomyography

Orizio

Gobbo

2006

Wiley Encyclopedia of Biomedical Engineering

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This chapter on surface mechanomyography (MMG) is aimed to provide basic information about a relatively new biological signal detectable at the muscle surface during contraction. The text will deal with the definition and terminology; the relationship between the activity of the single motor units and the signal generation process and, as a consequence, on the MMG reliability as a tool to reveal the motor units activation strategy, the relationship between MMG and muscle mechanics to disclose the possible use of this signal to get information about muscle contractile properties; and finally some examples of practical applications in physiological and clinical studies. The goal of this chapter is not to provide an extensive review on the MMG but only to underline some physiological and technical aspects that the spreading of its use may be based on.

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The effect of skinfold on frequency of human muscle mechanomyogram

Cited by 55 publications

References 5 publications

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

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

Dynamic monitoring of forearm muscles using one-dimensional sonomyography system

Mechanomyography

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