| Summary: | 碩士 === 國立交通大學 === 電控工程研究所 === 100 === This research conceives a new way of self-rehabilitation which is more helpful for patients, combined with brain waves to approach a new neuro-rehabilitation system. When the user is imaging hand action, the brain will produce a special kind of brain wave, and the system is recognizing the brain wave to control machine to take user’s hand moving, with the principle of neuro-rehabilitation and the enhancement of the bio-feedback method, then this system can make a better rehabilitating effect. The study analyzes the subjects’ event related motor imagery (MI) by using independent component analysis (ICA) and many other brain wave analyzing methods, such as event related spectral perturbation (ERSP), to find the best frequencies and time to recognize, using the sensor to receive brain waves and DSP chip with some algorithms to control the motor to take targets’ hand moving.
Using this method of brain wave analyzing and system architecture, the system can recognize motor imagery brain wave successfully and control the rehabilitation machine quickly, to imitate the self-behaviors of paralyzed or stroke patients. This system is hoped to shorten the rehabilitating time greatly and promote the effect, and even saving many human resources.
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