Difference between revisions of "Electromyography"

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| autore2= Gianni Frisardi
| autore2= Gianni Frisardi
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This chapter explores the intricacies of surface electromyography (sEMG), covering its fundamental principles, noise characteristics, electrode mechanics, and amplifier design, as well as the intricacies of signal processing. sEMG is essential for understanding muscle function, but various factors, such as signal-to-noise ratio, distortion, and interference, can complicate the interpretation of its readings.
'''Abstract:''' This chapter explores the intricacies of surface electromyography (sEMG), covering its fundamental principles, noise characteristics, electrode mechanics, and amplifier design, as well as the intricacies of signal processing. sEMG is essential for understanding muscle function, but various factors, such as signal-to-noise ratio, distortion, and interference, can complicate the interpretation of its readings.


By examining the nature of sEMG signals—random, Gaussian-distributed data affected by external noise sources—this section emphasizes the limitations of traditional Fourier analysis and the importance of precise filtering. Furthermore, the role of electrodes in enabling electrical charge transmission from biological tissues to recording devices is discussed in detail, including the chemical processes at play, the advantages and disadvantages of different electrode materials, and potential challenges with electrode degradation.
By examining the nature of sEMG signals—random, Gaussian-distributed data affected by external noise sources—this section emphasizes the limitations of traditional Fourier analysis and the importance of precise filtering. Furthermore, the role of electrodes in enabling electrical charge transmission from biological tissues to recording devices is discussed in detail, including the chemical processes at play, the advantages and disadvantages of different electrode materials, and potential challenges with electrode degradation.
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