Improve Memory for Alzheimer Patient by Employing Mind Wave on Virtual Reality with Deep Learning
Alzheimer disease is associated with many risks, including the destruction of family morale and the loss of experience of many scientists in different areas. However, little research depending on computer science has been conducted to explore this disease. The purpose of this study is trying to find the possibility of using computer techniques to improve the therapeutic methods of Alzheimer disease. This paper elaborates the approach of using EEG signals on virtual reality environment and introducing them as a patient’s therapeutic program to improve temporary memory. The patient’s memory is rearranging based on a suitable brain signal through the theory of artificial neural network and deep learning technique so that the memory is able to be gradually improved.
KeywordsEEG VR Alzheimer Artificial neural network Deep learning
Northeastern university, China. Support this project with Neurosky and Emotiv headsets, to read EEG signal.
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