Development of smartphone contents to improve concentration based on EEG

  • Abstract
  • Keywords
  • References
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  • Abstract

    Background/Objectives: In recent years, the importance of concentration has been attracting attention in modern society, and interest in concentration-related diseases is increasing. As ADHD, one of the many diseases associated with concentration, has a great impact on academic and work efficiency and everyday life, so much research is underway on ADHD treatment.

    Methods/Statistical analysis: In this research, we implemented smartphone - based concentration training system which is easy to use in everyday life.NeuroNicle E2 of Laxtha Company was used for EEG measurement and EEG was measured by attaching to FP1 and FP2 of the frontal part according to the international 10-12 electrode arrangement method.EEG data received from the measuring section were extracted as frequency - specific EEG data using FFT and the concentration index was calculated by applying the CI algorithm.

    Findings: The system implemented in this study can control the aim point with the concentration of the user and perform the concentration training by feedback the changed EEG information to the user according to the movement of the aim point. Also, as the concentration of the user increases, the aim point moves to the center and the score of the game increases.Experiments were conducted using implemented EEG system and commercialization EEG system. EEGs were measured by EEG for 5 minutes each before, during, after training by wearing a wireless measuring instrument. The SMR wave, Mid_β wave, and θ wave which are highly correlated with the concentration are indicated before, during, and after experiment, and it can be confirmed that each waveform has a significant change according to the experiment state. Also, it was confirmed that the concentration was the highest when training using this system and the concentration level was maintained even after the training.

    Improvements/Applications: The effectiveness of the system implemented in this research is verified and it can be expected that the user can utilize the portable device instead of the designated place such as the hospital or the professional institution to provide good training results through convenient and continuous concentration training.



  • Keywords

    EEG; Concentration; ADHD; Neurofeedback; Concentration training.

  • References

      [1] Kim, Su-Kyoung, et al. "The effects of neurofeedback training on concentration in children with attention deficit/hyperactivity disorder." International Journal of Bio-Science and Bio-Technology 6.4 (2014): 13-24.

      [2] Kim, Su-Kyoung, et al. "The EEG and behavior changes after neurofeedback training in children with attention deficit hyperactivity disorder." Proceedings of the 3rd 2014 International Workshop on Healthcare and Nursing. 2014.

      [3] Ponomarev, Valery A., et al. "Group independent component analysis (gICA) and current source density (CSD) in the study of EEG in ADHD adults." Clinical Neurophysiology 125.1 (2014): 83-97.

      [4] Jarrett, Matthew A., et al. "An EEG Study of Children with and Without ADHD Symptoms: Between-Group Differences and Associations with Sluggish Cognitive Tempo Symptoms." Journal of Attention Disorders (2017): 1087054717723986.

      [5] Liu, Zhong-Xu, et al. "EEG alpha power during maintenance of information in working memory in adults with ADHD and its plasticity due to working memory training: A randomized controlled trial." Clinical Neurophysiology 127.2 (2016): 1307-1320.

      [6] Lim, Choon Guan, et al. "Effectiveness of a brain-computer interface based programme for the treatment of ADHD: a pilot study." (2017).

      [7] Stroux, D., et al. "Deficient interference control during working memory updating in adults with ADHD: An event-related potential study." Clinical Neurophysiology 127.1 (2016): 452-463.

      [8] Young, Kymberly, et al. "937-EEG Correlates of Real-Time fMRI Neurofeedback Amygdala Training in Depression." Biological Psychiatry 81.10 (2017): S379.

      [9] Gray, Sarah N. "An Overview of the Use of Neurofeedback Biofeedback for the Treatment of Symptoms of Traumatic Brain Injury in Military and Civilian Populations." Medical Acupuncture 29.4 (2017): 215-219.

      [10] Jang, Yun-Seok, and Jae-Woong Han. "Analysis of EEG generated from concentration by visual stimulus task." The Journal of the Korea institute of electronic communication sciences 9.5 (2014): 589-594.




Article ID: 11032
DOI: 10.14419/ijet.v7i2.12.11032

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