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'''Signal Processing:''' Traditional methods like rectification and integration are supplemented by modern techniques, including Root Mean Square (RMS) computation, which provides a robust measure of muscle activity power. Time-domain measurements, such as latency and conduction velocity, are critical for clinical and biomechanical analyses. | '''Signal Processing:''' Traditional methods like rectification and integration are supplemented by modern techniques, including Root Mean Square (RMS) computation, which provides a robust measure of muscle activity power. Time-domain measurements, such as latency and conduction velocity, are critical for clinical and biomechanical analyses. | ||
'''Conclusions:''' This chapter underscores the critical factors affecting sEMG fidelity, from electrode design to amplifier characteristics and signal processing methods. While challenges such as noise and distortion persist, advancements in technology and methodology enable precise muscle activity analysis, fostering enhanced diagnostic and research applications.{{Login or request Member account}} | |||
This chapter underscores the critical factors affecting sEMG fidelity, from electrode design to amplifier characteristics and signal processing methods. While challenges such as noise and distortion persist, advancements in technology and methodology enable precise muscle activity analysis, fostering enhanced diagnostic and research applications. | |||
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