AbstractsBiology & Animal Science

Data from surface EMGs located on seven muscles of their symptomatic lower limb was recorded as well as kinematic and ground reaction force data. After post-processing, this data was entered into the ANN model and the model's ability to estimate lower extremity joint moments was evaluated. The ANN was able to accurately map the joint moments of subjects with OA. For the ankle, the mean correlation coefficients between the experimental joint moment and the estimated joint moment were between 0.97 and > 0.99. For the knee, the values ranged between 0.89-0.97, and for the hip, the values were between 0.91 and 0.97. Additionally, the ANN's ability to accurately map the lower extremity joint moments was demonstrated through the evaluation of case-specific joint moment time-series curves. Results have been presented in this study to show that the ANN model is adaptive to a subject group with more diversity than the previously tested group of young, healthy subjects. These findings further support the supposition that the ANN model may provide an alternative to traditional gait analysis methods.