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73 ± .09). Accuracy ranged between 0.65 and 0.93 based on varying repetition rate and duty cycle. Hand posture and force prediction were possible using sEMG and ANNs, though there were important differences in the accuracy of predictions based on task characteristics including duty cycle and repetition rate. The results of this study could be applied to the development of a dosimeter used for distal upper extremity biomechanical exposure measurement, risk assessment, job (re)design, and return to work programs. The results o
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