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In this paper, we propose a force estimation model to compute the handgrip force from SEMG signal during fatiguing muscle contraction tasks. The appropriate frequency range was analyzed using various combinations of a wavelet scale, and the highest accuracy was achieved at a range from 242 to 365Hz. After that, eight healthy individuals performed a series of static (70%, 50%, 30%, and 20% MVC) and...
Surface Electromyography (SEMG) analysis of dynamic contraction is becoming more important to understand the muscle condition in real life activities. The objective of the study is to discover the relationship between the changes of amplitude and frequency at high and low frequency bands. Continuous Wavelet Transform (CWT) is utilized in order to process the SEMG data in both time and frequency domain...
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