Bibliometrics Associations between EEG Entropies and Connections between Learning Disabilities and the Human Brain Activity

AUTHOR(S):

Vasileios Stefanidis, Sozon Papavlasopoulos, Marios Poulos

TITLE

Bibliometrics Associations between EEG Entropies and Connections between Learning Disabilities and the Human Brain Activity

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ABSTRACT

In this paper we investigate the bibliometric association and connection between Electroencephalography (EEG) entropies of human brain and learning difficulties and disabilities. Learning disabilities as mathematical ancestry, attention deficit, hyperactivity disorder etc are inhibitory learning factors. In various big data bases as the biomedical databases there is an increasingly amount of data stored in, due to the breakthroughs in biology and bioinformatics. In recent years biomedical information is in the center of research growing the amount of data and thus making efficient information retrieval from scientists more and more challenging. Scientists, needs new tools and applications in order to extract scientifically important data based on experimental results and information provided by papers and journals. In this paper we use a programmable in Python tool in order to observe bibliometrics connections between EEG Entropies, learning difficulties and disabilities and the brain operation and signaling.

KEYWORDS

EEG Entropies, learning disabilities, bibliometrics associations

Cite this paper

Vasileios Stefanidis, Sozon Papavlasopoulos, Marios Poulos. (2018) Bibliometrics Associations between EEG Entropies and Connections between Learning Disabilities and the Human Brain Activity. International Journal of Computers, 3, 177-181