Classification of muscle activation patterns of gait during single and dual tasking using artificial neural networks

This study investigated the classification of muscle activation patterns (MAP) during normal walking and while performing a cognitive task using artificial neural networks. The MAPs were successfully classified (average classification rate = 92.2%), indicating a systematic difference between single and dual tasking muscle activity.