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The main objective of this study was to develop a hybrid neuro-fuzzy system for estimating the magnitude of EMG responses of 10 trunk muscles based on two lifting task variables (trunk velocity and trunk moment) as model inputs. The input and output variables were represented using the fuzzy membership functions. The initial fuzzy rules were generated by the neural network using true EMG data. Two dierent laboratory-derived EMG data sets were used for model development and validation,doi:10.1080/00140130303520 pmid:12554412 fatcat:bw2xxd72nndntcwpraccovwz2y