Acute effects of direct inhibitory pressure over the biceps brachii myotendinous junction on skeletal muscle activation and force output

Cè, Emiliano; Longo, Stefano; McCoy, Emily; Bisconti, A.V.; Tironi, Davide; Limonta, Eloisa; Rampichini, Susanna; Rabuffetti, Marco; Esposito, Fabio

doi:10.1016/j.jelekin.2017.08.002

Cited by 3 publications

(4 citation statements)

References 37 publications

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“…On the other hand, in [17], the massage was applied on the hamstring muscle, but the electromechanical delay was measured in the antagonist muscle. In contrast, Cè et al [18] reported that a massage applied on the biceps brachii myotendinous junction increased the electrochemical and biomechanical processes in the elbow flexors. Begovic et al [8] reported that TFM increased the time delays between EMG and ultrasound measurement (US) and between EMG and force in the RF.…”

Section: Discussionmentioning

confidence: 89%

“…Initially, the band-pass filtered EMG signal was full-wave rectified. Following that, the standard deviations (SDs) of the baselines of each signal were calculated for a window of 200 ms. Three times the SD of the baseline was set as the amplitude threshold value for each signal [18,34]. The onset of a signal was computed as the point that the signal passed the amplitude threshold level of that signal the first time and remained above that level for at least 2 ms (time threshold).…”

Section: Signal Processing 251 Time Delaysmentioning

confidence: 99%

“…The time delay between EMG and MMG (∆t(EMG-MMG)) was calculated by subtracting the onset of EMG from the onset of MMG. Similarly, the time delay between MMG and force (∆t(MMG-Force)) was calculated by taking the difference between the onsets of MMG and force, and the time delay between EMG and force (∆t(EMG-Force)) was obtained by taking the difference between the onsets of EMG and force [18,34]. Time delays were computed for each contraction.…”

Section: Signal Processing 251 Time Delaysmentioning

confidence: 99%

“…Also, it was observed that deep TFM applied on the hamstring muscle did not affect the EMD and peak torque in the quadriceps muscles [17]. On the other hand, there are studies demonstrating that the electrochemical and biomechanical components of the EMD were altered with TFM in the rectus femoris muscle [8] or with pressure on the biceps brachii myotendinous junction [18]. As can be seen, there are contradictory observations on the effect of massage on this issue as well.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Transverse Friction Massage on the Electromechanical Delay Components and Fractal Dimension of Surface Electromyography in Quadriceps Muscles

et al. 2023

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The purpose of this study was to assess the effects of transverse friction massage (TFM) on the electromechanical delay components and complexity of the surface electromechanical activity in the rectus femoris (RF) and vastus medialis (VM) muscles and to identify possible mechanisms behind TFM-induced alterations in the dynamics of RF and VM activity. Seven female and five male healthy subjects participated in this study. The subjects generated five maximal voluntary isometric contractions (MVICs) consecutively before and after TFM. Meanwhile, electromyography (EMG), mechanomyography (MMG), and force were recorded. The onset times of the recorded signals were detected offline by setting the threshold to three times the SD of the baseline. The delays between EMG and MMG (Δt(EMG–MMG)), MMG and force (Δt(MMG–Force)), and EMG and force (Δt(EMG–Force)) were computed from the detected onsets. The fractal dimension (FD) of the EMG time series was computed using the correlation dimension method. TFM increased Δt(MMG–Force) and Δt(EMG–Force) significantly in the RF but decreased Δt(EMG–MMG) and increased Δt(MMG–Force) in the VM. TFM decreased the FD in the RF and increased it in the VM. The results imply that TFM decreased the stiffness of both the RF and VM and decreased the duration of the electrochemical processes in the VM. It is proposed that the decrease in EMG complexity in the RF may be associated with the decreased stiffness of the RF, and the increase in EMG complexity in the VM may be associated with the decreased electrochemical processes in this muscle. It is also suggested that the opposite changes in EMG complexity in the RF and VM can be used as a discriminating parameter to search for the effects of an intervention in the quadriceps muscles. The present study also demonstrates how to discriminate the nonlinear dynamics of a complex muscle system from a noisy time series.

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Section: Discussionmentioning

confidence: 89%

Section: Signal Processing 251 Time Delaysmentioning

confidence: 99%

Section: Signal Processing 251 Time Delaysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of Transverse Friction Massage on the Electromechanical Delay Components and Fractal Dimension of Surface Electromyography in Quadriceps Muscles

et al. 2023

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Acute effects of myofascial release and static stretching on handgrip strength in jiu-jitsu fighters

et al. 2021

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Crosstalk in Mechanomyographic Signals From Elbow Flexor Muscles During Submaximal to Maximal Isometric Flexion, Pronation, and Supination Torque Tasks

Talib

Sundaraj

Lam

2020

Journal of Biomechanical Engineering

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This study analysed crosstalk in mechanomyographic (MMG) signals from elbow flexors during isometric muscle actions from 20% to 100% maximum voluntary isometric contraction (MVIC). Twenty-five young, healthy, male participants performed isometric elbow flexion, forearm pronation and supination tasks at an elbow joint angle of 90°. The MMG signals from the biceps brachii (BB), brachialis (BRA) and brachioradialis (BRD) muscles were recorded using accelerometers. Cross-correlation coefficient was used to quantify the crosstalk in MMG signals, recorded in a direction transverse to muscle fibre axis, among the muscle pairs (P1: BB and BRA, P2: BRA and BRD and P3: BB and BRD). In addition, the MMG RMS and MPF were quantified. Mean normalized RMS and mean MPF exhibited increasing (r > 0.900) and decreasing (r < -0.900) trends, respectively, with increases in the effort levels in all three tasks. The magnitude of crosstalk ranged from 0.915 to 21.565% in all muscle pairs. Crosstalk was found to exhibit high positive correlations with submaximal to maximal flexion [P1 (r = 0.970), P2 (r = 0.951), and P3 (r = 0.824)], pronation [P1 (r = 0.811), P2 ( r = 0.763), and P3 (r = 0.901)] and supination [P1 (r = 0.898), P2 (r = 0.838), and P3 (r = 0.852)] torque levels (eight out of nine p-values were < 0.05). Regardless of the high positive correlation between crosstalk and level of effort, the crosstalk remained at a low range (0.915% to 21.565%) with increases in the torque levels.

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Acute effects of direct inhibitory pressure over the biceps brachii myotendinous junction on skeletal muscle activation and force output

Cited by 3 publications

References 37 publications

Effects of Transverse Friction Massage on the Electromechanical Delay Components and Fractal Dimension of Surface Electromyography in Quadriceps Muscles

Effects of Transverse Friction Massage on the Electromechanical Delay Components and Fractal Dimension of Surface Electromyography in Quadriceps Muscles

Acute effects of myofascial release and static stretching on handgrip strength in jiu-jitsu fighters

Crosstalk in Mechanomyographic Signals From Elbow Flexor Muscles During Submaximal to Maximal Isometric Flexion, Pronation, and Supination Torque Tasks

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