The multimodal parameter enhancement of electroencephalogram signal for music application

• Main Authors: Zarith Liyana, Zahari, Mahfuzah, Mustafa, Rafiuddin, Abdubrani
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/34899/1/The%20multimodal%20parameter%20enhancement%20of%20electroencephalogram%20signal%20for%20music%20application.pdf; http://umpir.ump.edu.my/id/eprint/34899/; https://doi.org/10.11591/ijai.v11.i2.pp414-422; https://doi.org/10.11591/ijai.v11.i2.pp414-422
• Institution: Universiti Malaysia Pahang

Blinding of modality has been influenced decision of multimodal in several circumstances. Sometimes, certain electroencephalogram (EEG) signal is omitted to achieve the highest accuracy of performance. Therefore, the aim for this paper is to enhance the multimodal parameters of EEG signals based on...