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Gerardo Bilotto

Bio: Gerardo Bilotto is an academic researcher from Boston University. The author has an hindex of 1, co-authored 1 publications receiving 134 citations.

Papers
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Journal ArticleDOI
TL;DR: Average muscle action potential conduction velocity values were obtained during isometric constant-force contractions by a cross-correlation technique to minimize the bias introduced by nondelayed activity appearing on the two myoelectric derivations.
Abstract: Average muscle action potential conduction velocity values were obtained during isometric constant-force contractions by a cross-correlation technique. To minimize the bias introduced by nondelayed activity appearing on the two myoelectric derivations, the signals were doubly differentiated. This arrangement effectively reduced the nondelayed activity and increased the accuracy of the estimate.

137 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors explored the various uses of surface electromyography in the field of biomechanics, including those involving the activation timing of muscles, the force/EMG signal relationship, and the use of the EMG signal as a fatigue index.
Abstract: This lecture explores the various uses of surface electromyography in the field of biomechanics. Three groups of applications are considered: those involving the activation timing of muscles, the force/EMG signal relationship, and the use of the EMG signal as a fatigue index. Technical considerations for recording the EMG signal with maximal fidelity are reviewed, and a compendium of all known factors that affect the information contained in the EMG signal is presented. Questions are posed to guide the practitioner in the proper use of surface electromyography. Sixteen recommendations are made regarding the proper detection, analysis, and interpretation of the EMG signal and measured force. Sixteen outstanding problems that present the greatest challenges to the advancement of surface electromyography are put forward for consideration. Finally, a plea is made for arriving at an international agreement on procedures commonly used in electromyography and biomechanics.

2,864 citations

Journal ArticleDOI
TL;DR: The main findings of this work are 1) myoelectric signal variables obtained from electrically elicited contractions show fluctuations smaller than those observed in voluntary contractions, 2) spectral variables are more sensitive to fatigue than conduction velocity and the average rectified value is more sensitiveto fatigue than the root-mean-square value.
Abstract: The time course of muscle fiber conduction velocity and surface myoelectric signal spectral (mean and median frequency of the power spectrum) and amplitude (average rectified and root-mean-square value) parameters was studied in 20 experiments on the tibialis anterior muscle of 10 healthy human subjects during sustained isometric voluntary or electrically elicited contractions. Voluntary contractions at 20% maximal voluntary contraction (MVC) and at 80% MVC with duration of 20 s were performed at the beginning of each experiment. Tetanic electrical stimulation was then applied to the main muscle motor point for 20 s with surface electrodes at five stimulation frequencies (20, 25, 30, 35, and 40 Hz). All subjects showed myoelectric manifestations of muscle fatigue consisting of negative trends of spectral variables and conduction velocity and positive trends of amplitude variables. The main findings of this work are 1) myoelectric signal variables obtained from electrically elicited contractions show fluctuations smaller than those observed in voluntary contractions, 2) spectral variables are more sensitive to fatigue than conduction velocity and the average rectified value is more sensitive to fatigue than the root-mean-square value, 3) conduction velocity is not the only physiological factor affecting spectral variables, and 4) contractions elicited at supramaximal stimulation and frequencies greater than 30 Hz demonstrate myoelectric manifestations of muscle fatigue greater than those observed at 80% MVC sustained for the same time.

623 citations

Journal ArticleDOI
TL;DR: The purpose of this paper is to briefly review the most frequently used algorithms for EMG variable estimation, compare them using computer generated as well as real signals and outline the advantages and drawbacks of each.

340 citations

Journal ArticleDOI
TL;DR: It is concluded that a surface myoelectric signal detected on the skin above a leg muscle and having a peak-to-peak amplitude of up to 16.6% of a signal detected above a neighboring muscle may be due to cross-talk rather than to activation of the muscle below the electrode.

328 citations

Journal ArticleDOI
TL;DR: The aim of this review is to present the state of the art of the technology of detection and conditioning systems for surface electromyography (sEMG) in terms of electrode classification, impedance, noise, transfer function, and the spatial filtering effect of surface electrode configurations on the recorded sEMG signal.

321 citations