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

Scheeren, Eduardo Mendonça; Mineiro, Lindomar; Neves, Eduardo Borba; Krueger, Eddy; Neto, Guilherme Nunes Nogueira; Nohama, Percy

doi:10.1590/2446-4740.03615

Cited by 7 publications

(9 citation statements)

References 44 publications

(84 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The higher levels of subcutaneous and intramuscular fibrofatty tissue could have reduced the amplitude of the sEMGs and acted as an additional lowpass filter [ 36 – 38 ]. In the sEMG this would have been visible as reduced variability and a lower power of the higher frequencies in the sEMGs (lower median frequency) [ 31 , 37 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Muscle weakness has a limited effect on motor control of gait in Duchenne muscular dystrophy

et al. 2020

View full text Add to dashboard Cite

Our aim was to determine if synergy weights and activations are altered in Duchenne muscular dystrophy (DMD) and if these alterations could be linked to muscle weakness. Methods In 22 children with DMD and 22 typical developing (TD) children of a similar age, surface electromyography (sEMG) of the gluteus medius, rectus femoris (REF), medial hamstrings, tibialis anterior, and medial gastrocnemius (GAS) were recorded during gait. Muscle weakness was assessed with maximal voluntary isometric contractions (MVIC). Synergies were calculated with non-negative matrix factorization. The number of synergies explaining �90% of the variance in the sEMG signals (N90), were extracted and grouped with k-means cluster analysis. We verified differences in weights with a Mann-Whitney U test. Statistical non-parametric mapping (Hotelling's T 2 test and two-tailed t-test) was used to assess group differences in synergy activations. We used Spearman's rank correlation coefficients and canonical correlation analysis to assess if weakness was related to modifications in weights and activations, respectively. Results For both groups, average N90 was three. In synergy one, characterized by activity at the beginning of stance, the DMDs showed an increased REF weight (p = 0.001) and decreased GAS weight (p = 0.007). Synergy activations were similar, with only a small difference detected in mid-swing in the combined activations (p<0.001). Weakness was not associated with these differences.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Higher levels of subcutaneous fibrofatty tissue as well as in the muscles could act as an additional lowpass filter [ 36 – 38 ], thereby potentially influencing the outcomes of the synergy analysis [ 31 ]. Therefore, we also assessed the frequency distribution of the sEMGs signals with the PWELCH function in MATLAB.…”

Section: Methodsmentioning

confidence: 99%

Muscle weakness has a limited effect on motor control of gait in Duchenne muscular dystrophy

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The current study observed a negligible to moderate positive correlation between RMS and ST, which is consistent with the results obtained by 24 for the BB. A few studies 28–33 have made some general observations on the ST and RMS from the quadriceps and found that these parameters could be related. Consequently, some other researchers 28–30 have investigated and quantified the correlation between ST and RMS.…”

Section: Discussionmentioning

confidence: 99%

“…The ST could be a major issue in some clinical applications of myographic signals 2 because it acts as a low-pass filter that tends to attenuate the signal amplitude 27 . The effect of variations in the ST on the RMS from the quadriceps muscle has been assessed in a few studies 28–33 . Among these studies, only those conducted by 28–30 quantified the correlation between the ST and RMS, and they observed a negative correlation between these two parameters for the quadriceps.…”

Section: Introductionmentioning

confidence: 99%

“…The effect of variations in the ST on the RMS from the quadriceps muscle has been assessed in a few studies 28–33 . Among these studies, only those conducted by 28–30 quantified the correlation between the ST and RMS, and they observed a negative correlation between these two parameters for the quadriceps. The effect of variations in the ST on RMS from the BB has only been assessed in one previous study 24 , and these researchers also quantified the correlation between the ST and RMS and found a weak positive correlation between the two parameters during maximal voluntary contraction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association of anthropometric parameters with amplitude and crosstalk of mechanomyographic signals during forearm flexion, pronation and supination torque tasks

Talib

Sundaraj

Lam

2019

Sci Rep

View full text Add to dashboard Cite

This study aimed to quantify the association of four anthropometric parameters of the human arm, namely, the arm circumference (CA), arm length (LA), skinfold thickness (ST) and inter-sensor distance (ISD), with amplitude (RMS) and crosstalk (CT) of mechanomyography (MMG) signals. Twenty-five young, healthy, male participants were recruited to perform forearm flexion, pronation and supination torque tasks. Three accelerometers were employed to record the MMG signals from the biceps brachii (BB), brachialis (BRA) and brachioradialis (BRD) at 80% maximal voluntary contraction (MVC). Signal RMS was used to quantify the amplitude of the MMG signals from a muscle, and cross-correlation coefficients were used to quantify the magnitude of the CT among muscle pairs (BB & BRA, BRA & BRD, and BB & BRD). For all investigated muscles and pairs, RMS and CT showed negligible to low negative correlations with CA, LA and ISD (r = −0.0001-−0.4611), and negligible to moderate positive correlations with ST (r = 0.004-0.511). However, almost all of these correlations were statistically insignificant (p > 0.05). These findings suggest that RMS and CT values for the elbow flexor muscles recorded and quantified using accelerometers appear invariant to anthropometric parameters. conclusion CA, LA and ISD were found to exhibit negligible to low negative correlations with RMS and CT, whereas ST exhibited negligible to moderate positive correlations with RMS and CT. These findings suggest that the MMG signal parameters and CT acquired using accelerometers appear invariant to the four anthropometric parameters but might depend on other physiological and subject-based factors. The findings obtained in this study might aid our understanding of CT mechanisms in MMG signals, which could be useful in future research for devising techniques for the reduction or removal of CT in MMG.

show abstract

AI‐Enabled Soft Sensing Array for Simultaneous Detection of Muscle Deformation and Mechanomyography for Metaverse Somatosensory Interaction

Suo,

Liu,

Wang

et al. 2024

Advanced Science

View full text Add to dashboard Cite

Motion recognition (MR)‐based somatosensory interaction technology, which interprets user movements as input instructions, presents a natural approach for promoting human‐computer interaction, a critical element for advancing metaverse applications. Herein, this work introduces a non‐intrusive muscle‐sensing wearable device, that in conjunction with machine learning, enables motion‐control‐based somatosensory interaction with metaverse avatars. To facilitate MR, the proposed device simultaneously detects muscle mechanical activities, including dynamic muscle shape changes and vibrational mechanomyogram signals, utilizing a flexible 16‐channel pressure sensor array (weighing ≈0.38 g). Leveraging the rich information from multiple channels, a recognition accuracy of ≈96.06% is achieved by classifying ten lower‐limb motions executed by ten human subjects. In addition, this work demonstrates the practical application of muscle‐sensing‐based somatosensory interaction, using the proposed wearable device, for enabling the real‐time control of avatars in a virtual space. This study provides an alternative approach to traditional rigid inertial measurement units and electromyography‐based methods for achieving accurate human motion capture, which can further broaden the applications of motion‐interactive wearable devices for the coming metaverse age.

show abstract

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

Cited by 7 publications

References 44 publications

Muscle weakness has a limited effect on motor control of gait in Duchenne muscular dystrophy

Muscle weakness has a limited effect on motor control of gait in Duchenne muscular dystrophy

Association of anthropometric parameters with amplitude and crosstalk of mechanomyographic signals during forearm flexion, pronation and supination torque tasks

AI‐Enabled Soft Sensing Array for Simultaneous Detection of Muscle Deformation and Mechanomyography for Metaverse Somatosensory Interaction

Contact Info

Product

Resources

About