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Improve Memory for Alzheimer Patient by Employing Mind Wave on Virtual Reality with Deep Learning

  • Marwan Kadhim Mohammed Al-shammariEmail author
  • Gao Tian Han
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 773)

Abstract

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.

Keywords

EEG VR Alzheimer Artificial neural network Deep learning 

Notes

Acknowledgments

Northeastern university, China. Support this project with Neurosky and Emotiv headsets, to read EEG signal.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Marwan Kadhim Mohammed Al-shammari
    • 1
    Email author
  • Gao Tian Han
    • 1
  1. 1.Northeastern UniversityShenyangChina

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