Towards a Gait Planning Training Strategy Using Lokomat

The main goal in this study was to investigate how strategies used to perform motor gait planning in an uncontrolled environment affects patterns of neural activity in healthy volunteers during task performance. Materials and Methods A 16-channel EEG system with electrodes and 2 channels of sEMG were used to acquire data from 10 healthy subjects. The data was processed to obtain for each foot the ERD for \(\mu \) and \(\beta \) rhythms; the spectrogram and continuous wavelet transform of the average 5 s segments and the STFT of the motor planning period. Results The results show significant differences in the ERD and FFT between feets that will be used in future works to develop an intervention using Lokomat to aid SCI individuals that cannot voluntarily initiate the gait. Conclusion This study is a preliminary study, it is still possible to draw some initial conclusions about the feasibility of using EEG signals to analyze gait motor planning.