Exploration of functional connectivity of brain to assess cognitive and physical health parameters using brain-computer interface

The advancement of brain-computer interface (BCI) innovations has increasingly become an important field among researchers due to the numerous intriguing applications. BCI involves acquiring the neural activity, retrieving appropriate features from the raw electroencephalography (EEG), and translating this data into representations that can improve signal classification. The neural brain activations are triggered or stimulated by predetermined external influences, including music, videos, audio, meditation and several others. The impact of diverse stimuli on the brain is the core investigation purpose of this research. The response of the participants is evaluated in different frequency bands, such as beta, delta, alpha, and theta, and also in various brain regions like temporal, frontal, occipital, and parietal lobes, to better understand the impact. A total of 65 peer-reviewed publications were examined, with the articles being divided into six categories depending on stimuli: yoga and meditation, music, taste, scent, emotion, imagery and movement. The various types of stimuli, existing EEG databases, EEG equipment models, pre-processing techniques, feature extraction and classification approaches have been examined from the published literature on EEG-based investigations. Comprehensive research has been undertaken to describe stimuli and their effects on brain functional connectivity (FC). The proposed method describes the importance of the infinity walk, their effect on changes in humans’ cognitive and physical health parameters. This study aims to investigate the impact of the infinity walk and its effects on human mental health and perhaps to identify the active brain region in people who have practiced the infinity walk for months/years. This technique assists in the identification and justification of the truth behind the infinity walk.

This is an accepted version of author's manuscript, accepted for publication in International Journal of Biomedical Engineering and Technology, it is included in this repository in accordance with the publisher's green open policy https://www.inderscience.com/mobile/inauthors/index.php?pid=74