Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games
Neurofeedback can be utilized to treat various neuropsychiatric disorders in children. However, therapists primarily set threshold values for neurofeedback training. Thus, the training effect becomes subjective owing to the experience of the therapist. A clinically inexperienced therapist could set...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10273989/ |
| _version_ | 1797657976059723776 |
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| author | Haitao Huang Min-Chul Shin Jieun Lee Seung-Hyun Yoon |
| author_facet | Haitao Huang Min-Chul Shin Jieun Lee Seung-Hyun Yoon |
| author_sort | Haitao Huang |
| collection | DOAJ |
| description | Neurofeedback can be utilized to treat various neuropsychiatric disorders in children. However, therapists primarily set threshold values for neurofeedback training. Thus, the training effect becomes subjective owing to the experience of the therapist. A clinically inexperienced therapist could set inappropriate thresholds, rendering the training ineffective. In this study, an effective neurofeedback system that includes signal processing of large amount of electroencephalogram (EEG) data and auto thresholding and provides various training contents was developed. The system uses a method that determines optimal threshold values, which are significant for an effective neurofeedback system. The success or failure of the activation and inhibition of specific EEG frequencies was determined based on these threshold values. The system determined an optimal threshold value to obtain the target success rate using a numerical optimization technique. The success or failure feedback for the reward and inhibit EEG frequencies was generated using auto thresholding. This feedback was sent to the training contents by the inter-process communication module to control the contents. Most training content was implemented as serious video games by using a commercial game engine. Success feedback on reward EEG frequency leads to game progress. By contrast, failure feedback on inhibiting EEG frequency hinders game progress. Consequently, the user gains the self-regulation ability to enhance the reward EEG frequency and suppress the inhibit EEG frequency. A pilot study involving five children with attention deficiency was conducted to demonstrate the effectiveness of the developed system. The results demonstrated that the childrent’s attention improved after neurofeedback training. |
| first_indexed | 2024-03-11T17:53:32Z |
| format | Article |
| id | doaj.art-cd90e81d5747436f9f77d7c3a6707c20 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T17:53:32Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cd90e81d5747436f9f77d7c3a6707c202023-10-17T23:00:45ZengIEEEIEEE Access2169-35362023-01-011111217511218810.1109/ACCESS.2023.332293210273989Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video GamesHaitao Huang0https://orcid.org/0000-0003-2677-7806Min-Chul Shin1https://orcid.org/0000-0002-6425-6772Jieun Lee2https://orcid.org/0000-0001-5692-9263Seung-Hyun Yoon3https://orcid.org/0000-0002-0015-8305Department of Multimedia Engineering, Dongguk University, Seoul, South KoreaDepartment of Multimedia Engineering, Dongguk University, Seoul, South KoreaDivision of Computer Engineering, Hansung University, Seoul, South KoreaDepartment of Multimedia Engineering, Dongguk University, Seoul, South KoreaNeurofeedback can be utilized to treat various neuropsychiatric disorders in children. However, therapists primarily set threshold values for neurofeedback training. Thus, the training effect becomes subjective owing to the experience of the therapist. A clinically inexperienced therapist could set inappropriate thresholds, rendering the training ineffective. In this study, an effective neurofeedback system that includes signal processing of large amount of electroencephalogram (EEG) data and auto thresholding and provides various training contents was developed. The system uses a method that determines optimal threshold values, which are significant for an effective neurofeedback system. The success or failure of the activation and inhibition of specific EEG frequencies was determined based on these threshold values. The system determined an optimal threshold value to obtain the target success rate using a numerical optimization technique. The success or failure feedback for the reward and inhibit EEG frequencies was generated using auto thresholding. This feedback was sent to the training contents by the inter-process communication module to control the contents. Most training content was implemented as serious video games by using a commercial game engine. Success feedback on reward EEG frequency leads to game progress. By contrast, failure feedback on inhibiting EEG frequency hinders game progress. Consequently, the user gains the self-regulation ability to enhance the reward EEG frequency and suppress the inhibit EEG frequency. A pilot study involving five children with attention deficiency was conducted to demonstrate the effectiveness of the developed system. The results demonstrated that the childrent’s attention improved after neurofeedback training.https://ieeexplore.ieee.org/document/10273989/Neurofeedbackbiofeedbackcomprehensive attention test (CAT)attention deficit hyperactivity disorder (ADHD)auto thresholdingserious video game |
| spellingShingle | Haitao Huang Min-Chul Shin Jieun Lee Seung-Hyun Yoon Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games IEEE Access Neurofeedback biofeedback comprehensive attention test (CAT) attention deficit hyperactivity disorder (ADHD) auto thresholding serious video game |
| title | Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games |
| title_full | Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games |
| title_fullStr | Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games |
| title_full_unstemmed | Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games |
| title_short | Effective Neurofeedback Training of Large Electroencephalogram Signals Using Serious Video Games |
| title_sort | effective neurofeedback training of large electroencephalogram signals using serious video games |
| topic | Neurofeedback biofeedback comprehensive attention test (CAT) attention deficit hyperactivity disorder (ADHD) auto thresholding serious video game |
| url | https://ieeexplore.ieee.org/document/10273989/ |
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