Frequency content analysis of gait — Vertical ground reaction force

This paper addresses the frequency content of Vertical Ground Reaction force (VGRF) signals. Signal processing of such data is crucial in order to characterize the gait itself. The outcome processing can be used to show the presence of disease, to track the rehabilitation or even to detect the possibility of falling. In order to come up with the correct processing, it is important to set up the rules that cover gait VGRF. In this paper, an attention is given to the frequency content of the VGRF underneath different locations of the foot. The extracted information is then used to compare gait between normal and Parkinson's subjects. Results have shown the existence of three dominant frequencies. Furthermore, it was revealed that the power of frequency is high for the second peak in normal gait compared to Parkinson.