Attention enhancement system for college students with brain biofeedback signals based on virtual reality
Autor: | Marwan Kadhim Mohammed Al-shammari, Song Zhou, Rana Kadhim Mohammed, TianHan Gao |
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Rok vydání: | 2021 |
Předmět: |
Computer Networks and Communications
Computer science medicine.medical_treatment Short-term memory 02 engineering and technology Virtual reality Electroencephalography Biofeedback behavioral disciplines and activities mental disorders 0202 electrical engineering electronic engineering information engineering Media Technology medicine Attention deficit hyperactivity disorder Artificial neural network medicine.diagnostic_test Working memory business.industry Deep learning 020207 software engineering medicine.disease Hardware and Architecture Artificial intelligence business Software Cognitive psychology |
Zdroj: | Multimedia Tools and Applications. 81:19097-19112 |
ISSN: | 1573-7721 1380-7501 |
Popis: | Attention Deficit Hyperactivity Disorder (ADHD) is a common and heritable disease that has an environmental influence on brain function. The diseases affects multiple aspects of the lives of college students, not only on their study but also on the relationships with other people. The problem with ADHD attention involves short term memory. The purpose of this paper is to investigate the capability of improving short term working memory for ADHD patients by the aid of technology a proper VR environment is built for ADHD, who are isolated from the real circumference. Electroencephalography (EEG) is taken as biofeedback to read the brain signal from the patient. A deep learning approach and an artificial neural network method, are employed to efficiently and accurately process EEG. The findings of the trial indicate that the virtual reality recommended system will play a greater role in improving the attention to the ADHD patient. |
Databáze: | OpenAIRE |
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