The analysis of electromyographic signals is applied both to the diagnosis of pathologies and to the recognition of movement patterns.Variables such as force and speed of movement are factors that affect the characteristics of the signals of surface electromyography (SMEG).The naturalness of the movements of the hand are also associated with strength and speed.Current work assessment 96 records of SEMG -Force).The objective was to obtain a linear model that would allow the relation of the force signal with the tone of the forearm SEMG signals.The work results show models at the determination coefficient R 2 -median 0.78.The SEMG signal would contribute to the variation of the strength signal.However, there are appreciable differences in relation to the model in each type of hand movement.