4.7 Article

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

期刊

FRACTAL AND FRACTIONAL
卷 7, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/fractalfract7080620

关键词

transverse friction massage; electromyography; mechanomyography; correlation dimension; complexity; electromechanical delay; rectus femoris; vastus medialis

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The study aimed to assess the effects of transverse friction massage (TFM) on electromechanical delay and complexity of surface electromechanical activity in the rectus femoris (RF) and vastus medialis (VM) muscles, and to explore the mechanisms underlying TFM-induced alterations in muscle dynamics. The results showed that TFM increased delay between mechanomyography and force, as well as electromyography and force in the RF, while it decreased delay between electromyography and mechanomyography in the VM. TFM also decreased fractal dimension in the RF and increased it in the VM. These findings suggest that TFM reduces muscle stiffness and duration of electrochemical processes, and indicate the potential use of EMG complexity as a parameter for evaluating intervention effects on quadriceps muscles.
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 (At(EMG-MMG)), MMG and force (At(MMG-Force)), and EMG and force (At(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 At(MMG-Force) and At(EMG-Force) significantly in the RF but decreased At(EMG-MMG) and increased At(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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