**5. Future directions**

Since these responses are characteristic of neuromuscular fatigue, the test described here may be useful for identifying muscle fatigue in ramp isometric contraction test. With this

Computational Intelligence in Electromyography Analysis – 62 A Perspective on Current Applications and Future Challenges

feature researches, in future studies, propose mathematical models to identify the turning point of the concavity of the sigmoid adjustment for the analysis and identification of the electromyographic fatigue. Therefore, in order to develop a new protocol for the identification of fatigue could be observed electromyographic initial characteristics of the sigmoid curve which is a slow increase over time data, which has an exponential characteristic. With these parameters can ascertain exponential models as the inflection point of the curve for possible identification of neuromuscular fatigue.

Relationships Between Surface Electromyography and Strength During Isometric Ramp Contractions 63

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Understanding the importance of digital signal processing, in this case the surface electromyographic signal, the mathematical adjustment (mathematical modeling), presents itself as a tool to direct future research related to bioengineering, which may direct future investigations from the area of instrumentation to the development of new systems of manmachine synchronization.
