New PDF release: Atlas of Muscle Innervation Zones: Understanding Surface

By Marco Barbero, Roberto Merletti, Alberto Rainoldi

ISBN-10: 8847024625

ISBN-13: 9788847024625

ISBN-10: 8847024633

ISBN-13: 9788847024632

Invasive electromyography is a well-established diagnostic instrument that has been used for many years by way of neurologists. lately, new and substitute units have more and more turn into to be had that let analysis with no using needles. This constructing region of technology and the recent instruments haven't, despite the fact that, been sufficiently investigated in educational education. for that reason a spot exists among what technological know-how is making attainable and the competence received in the course of graduate reviews. this convenient quantity has the purpose of filling this hole by way of offering the knowledge required by means of clinical practitioners in rehabilitation, activities, and occupational wellbeing and fitness in addition to via rehabilitation therapists, ergonomists, and game coaches. The ideas which are provided and defined may help in tracking and recording alterations, comparing the effectiveness of remedies and coaching, comparing paintings stations, and fighting and documenting the evolution of occupational issues of the neuromuscular system.

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Extra info for Atlas of Muscle Innervation Zones: Understanding Surface Electromyography and Its Applications

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If the sampling frequency is above this minimal rate (referred to as the “Nyquist rate”) the original signal can be reconstructed without error from its samples. ” To convert a signal from analog to digital form requires that the value of each sample (the length of each vertical line in Fig. 1a) is transformed into a number that can be stored in a computer memory cell in binary format. After this operation has been performed, the original signal is represented by a sequence of numbers corresponding to the black dots of Fig.

11a, b. Each linear array (column) will detect signals similar to those depicted in Fig. 10. Columns that are lateral with respect to the sources will detect smaller signals. The reader is invited to imagine the signals appearing on the grid for a tripole source either very close to the surface or deep (consider Fig. 3 as a guideline). Also, imagine a tripole source propagating along a direction not aligned with the columns of the grid. A full understanding of potential maps evolving in space and time for different sources (monopole, dipole, tripole) propagating in directions not necessarily aligned with the columns of the grid is of great importance for the interpretation of sEMG images and movies.

Again, also for this estimate, the channels affected by the end-of-fiber effect should not be considered. Estimation of the conduction velocity of a MU from a single firing is relatively simple but is considerably more complex for an interferential signal that is the sum of the contributions of many MUs, as discussed in the literature (Farina and Merletti, 2000, 2004). 9 shows 15 differential signals during a 250-ms epoch recorded, with a 16-electrode array, from a contracting biceps brachii muscle at 50% of the maximal voluntary force.

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Atlas of Muscle Innervation Zones: Understanding Surface Electromyography and Its Applications by Marco Barbero, Roberto Merletti, Alberto Rainoldi

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