Difference between revisions of "Clinic Electromyography"

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{{ArtBy|||autore= Cesare Iani}}
{{ArtBy|||autore= Cesare Iani}}


In this chapter on clinical electromyography (EMG), we explore the fundamental principles and advanced techniques used to assess motor unit (MU) activity. This section offers a detailed examination of the three primary phases of an EMG exam: spontaneous activity, motor unit analysis, and interference pattern (IP) analysis. The motor unit, comprising a motor neuron, its axon, and innervated muscle fibers, is the focal point of the examination. We delve into the nuances of different electrodes—single fiber, macro, concentric, and monopolar—and their respective advantages and applications.
'''Abstract:''' In this chapter on clinical electromyography (EMG), we explore the fundamental principles and advanced techniques used to assess motor unit (MU) activity. This section offers a detailed examination of the three primary phases of an EMG exam: spontaneous activity, motor unit analysis, and interference pattern (IP) analysis. The motor unit, comprising a motor neuron, its axon, and innervated muscle fibers, is the focal point of the examination. We delve into the nuances of different electrodes—single fiber, macro, concentric, and monopolar—and their respective advantages and applications.


The generation and analysis of motor unit potentials (MUPs) are critical for diagnosing neuromuscular disorders. MUP parameters such as duration, amplitude, size index, and jiggle are discussed in relation to normal and pathological conditions. Advances in EMG technology, particularly in signal decomposition and template matching, have allowed for more efficient and accurate analysis of MUPs, contributing to improved diagnostic capabilities in both neuropathic and myopathic disorders.
The generation and analysis of motor unit potentials (MUPs) are critical for diagnosing neuromuscular disorders. MUP parameters such as duration, amplitude, size index, and jiggle are discussed in relation to normal and pathological conditions. Advances in EMG technology, particularly in signal decomposition and template matching, have allowed for more efficient and accurate analysis of MUPs, contributing to improved diagnostic capabilities in both neuropathic and myopathic disorders.
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