Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface
- First Online:
In this paper, an experiment designed to detect the will to perform several steps forward (as gait initiation) before it occurs using the electroencephalographic (EEG) signals collected from the scalp is presented. In order to detect this movement intention, the Event-Related Desynchronization phenomenon is detected using a SVM-based classifier. The preliminary results from seven users have been presented. In this work, the results obtained in a previous paper are enhance obtaining similar true positive rates (around 66 % in average) but reducing the false positive rates (with an average around 20 %). In the future, this improved Brain-Computer Interface will be used as part of the control system of an exoskeleton attached to the lower limb of people with incomplete and complete spinal cord injury to initiate their gait cycle.
- 1.Dornhege, G., Millán, J., del, R., Hinterberger, T., MacFarland, D.J., Muller, K.R.: Towards Brain-Computer Interfacing. The MIT Press (2007)Google Scholar
- 8.Planelles, D., Hortal, E., Costa, A., Iáñez, E., Azorín, J.M.: First steps in the development of an EEG-based system to detect intention of gait initiation. In: 8th Annual IEEE International Systems Conference, Ottawa, Canada, pp. 167–171 (2014)Google Scholar
- 10.Bracewell, R.N.: The Fourier Transform and Its Applications. McGraw-Hill Electrical and Electronic Engineering Series (1978)Google Scholar
- 11.Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification. http://www.csie.ntu.edu.tw/cjlin/libsvm/
- 12.Wei, L., Yue, H., Jiang, X., He, J.: Brain activity during walking in patient with spinal cord injury. In: International Symposium on Bioelectronics and Bioinformatics, pp. 96–99 (2011)Google Scholar