Computational Cognitive Analysis for Intelligent Engineering Using EEG Applications

Abstract

NFT increases EEG's higher alpha band to improve working memory. Five sessions of visual cue feedback instructed patients. Single-channel EEGs collect EEG signals. Each participant's unique alpha frequency band calculated the Higher Alpha band. LabVIEW programme extracted the higher alpha band (10–13hz) signal. The patient was then encouraged to relax by watching the device's nature. Thus, higher alpha waves predominate Relaxation creates alpha waves. Thus, the NFT retrains the brain to make alpha waves on its own and boosts activity. Participants learned and increased alpha band amplitude. Neuro-feedback training using NFT enhanced cognitive processing speed. 60-65-year-olds were selected for this training. This research examined if training improves elderly people's cognitive processing speed. Visual input improves brain control and consistency. Brainwaves were rewarded with visual messages. The training uses Lab View. Finally, mental, physical, and emotional health improves Neuro-feedback system to assess healthy volunteers and the elderly's cognitive performance might be built.