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  • 标题:Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform
  • 本地全文:下载
  • 作者:Hamdi Ben Abdessalem ; Alexie Byrns ; Claude Frasson
  • 期刊名称:International Journal of Intelligence Science
  • 印刷版ISSN:2163-0283
  • 电子版ISSN:2163-0356
  • 出版年度:2021
  • 卷号:11
  • 期号:2
  • 页码:70-96
  • DOI:10.4236/ijis.2021.112006
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Alzheimer’s disease affects millions of persons every year. Negative emotions such as stress and frustration have a negative impact on memory function and Alzheimer's patients experience more negative emotions than healthy adults. Non-pharmacological treatment such as immersion in virtual environments could help Alzheimer patients by reducing their negative emotions, but it has restrictions and requirements. In this work, we present three virtual reality relaxing systems in which the patients are immersed in relaxing environments. We propose to use intelligent agents in order to adapt the relaxing environment to each participant and optimize its relaxation effect. The intelligent agents track the emotions of patients using electroencephalography as input in order to adapt the environments. We designed each system with different levels of intelligence in order to analyze the impact of the adaptation on the patients. Experiments were performed for each system on participants with subjective cognitive decline. Results show that these relaxing systems can reduce negative emotions and improve participants’ memory performance. The positive effects on affective state and memory persisted for a longer period of time and were generally more effective for the systems with more intelligence. We believe that the combination of a relaxing environment, virtual reality, intelligent agents for adapting the environment, and brain assessment is a promising method for helping Alzheimer’s patients.
  • 关键词:EEG;Brain Assessment;Intelligent Agent;Virtual Reality;Alzheimer’s Disease;Subjective Cognitive Decline;Emotions;Adaptation;Emotional Intelligence
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