Fig.10 ICA results
5. Conclusions
We developed a neurorehabilitation system for lower limbs. It detects the motor intention, which activates the ankle rehabilitation device. The system did not use the conventional mode of BMI such as detecting specific features i.e. ERS/D or ERP, but adopted Learning of Fuzzy Template Matching to extract the motor intention extremely quickly, within an hour, while requiring no training of participants. As the next stage of research, we expect to evaluate the system's efficiency when applied to brain-damaged patients.
Acknowledgements
This work was supported partially by MEXT(The Ministry of Education, Culture,Sports,Science and Technology)-Supported Program for the Strategic Research Foundation at Private Universities, 2014-2018(Grant No. S1411038).
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