1,721,059 research outputs found
How might differ EMG fluctuations of gastrocnemius muscles between quiet standing and voluntary isometric contractions?
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Trade-off and coactivation between gastrocnemii during a quiet standing test: preliminary results
No full textThe Importance of an Objective Assessment to Identify Functional Constraints of Young Skier Athletes
No full textAssessment of lower limbs symmetry in patients following ACL reconstruction: A work experience.
No full textThe impact of a rehabilitation protocol applied to a young freestyle skier following acl reconstruction
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Aspectos biomecânicos do envelhecimento relacionados com o risco de queda:equilíbrio e marcha
No full textFiltered virtual reference: A new method for the reduction of power line interference with minimal distortion of monopolar surface EMG
No full textGoal: This study tests and validates a new method to remove power line interference from monopolar EMGs detected by multichannel systems: the filtered virtual reference (FVR). FVR is an adaptation of the virtual reference (VR) method, which consists in referencing signals detected by each electrode in a grid to their spatial average. Signals may however be distorted with the VR approach, in particular when the skin region where the detection system is positioned does not cover the entire muscle. Methods: Simulated and experimental EMGs were used to compare the performance of FVR and VR in terms of interference reduction and distortion of monopolar signals referred to a remote reference. Results: Simulated data revealed the monopolar EMG signals processed with FVR were significantly less distorted than those filtered by VR. These results were similarly observed for experimental signals. Moreover, FVR method outperformed VR in removing power line interference when it was distributed unevenly across the signals of the grid. Conclusion: Key results demonstrated that FVR improves the VR method as it reduces interference while preserving the information content of monopolar signals. Significance: Although the actual distribution of motor unit action potential is represented in monopolar EMGs, collecting high quality monopolar signals is challenging. This study presents a possible solution to this issue; FVR provides undistorted monopolar signals with negligible interference and is insensitive to muscle architecture. It is therefore relevant for EMG applications benefiting from a clean monopolar detection (e.g., decomposition, control of prosthetic devices, motor unit number estimation
Identification of motor unit discharge patterns in the gastrocnemii muscles during quiet standing
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