Over the centuries, human aimed to achieve the ability to understand the inner functions of the mind and brain. One of the techniques to understand such functions is the application of neurofeedback. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing self-regulation of brain activities. Several techniques have been used in the application of neurofeedback to improve different kinds of brain-related conditions including attention capacity and other disabilities. However, literature shows that there are still chances of further improvement in this field, since neurofeedback often causes complications anxiety, discontent and discomfort. Therefore in this paper, we proposed a method to detect modulated motor cortex using anodal and cathodal tDCS based neurofeedback to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal using Electroencephalography(EEG) based neurofeedback data for twenty subjects. The accuracy of our proposed method is better than three other existing techniques on neurofeedback application. The experimental results demonstrate that our proposed method is suitable in the application of neurofeedback.
|Title of host publication||The 19th International Conference on Machine Learning and Cybernetics (ICMLC)|
|Publication status||Accepted/In press - 2021|
|Event||19th International Conference on Machine Learning and Cybernetics: ICMLC 2020 - University of Adelaide, Adelaide, Australia|
Duration: 04 Dec 2020 → 06 Dec 2020
http://www.icmlc.com/cfp.html (call for papers)
|Conference||19th International Conference on Machine Learning and Cybernetics|
|Period||04/12/20 → 06/12/20|
|Other||We are sorry to announce that ICMLC and ICWAPR 2020 are now officially postponed to 4th - 6th, December, 2020 due to the current Covid-19 health emergency. The conferences will be held at the same venue, University of Adelaide.|
The submission date is also postponed to 10th September, 2020.