Name
Title | ||
|---|---|---|
Bibliometrics EEG Metrics Associations and Connections Between Learning Disabilities and the Human Brain Activity. |
Abstract | ||
|---|---|---|
In this paper we investigate the bibliometric association and connection between Electroencephalography (EEG) metrics of human brain and learning difficulties and disabilities. In EEG metrics included various metrics used from scientists in order to map the brain activity. 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 are going to investigate methods in order to find connections between learning difficulties and disabilities and the brain operation and signaling. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-97679-2_11 | Smart Innovation Systems and Technologies |
Field | DocType | Volume |
Data science,Data mining,Computer science,Brain activity and meditation,Human brain,Bibliometrics,Learning disability,Big data,Electroencephalography | Conference | 108 |
ISSN | Citations | PageRank |
2190-3018 | 0 | 0.34 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vasileios Stefanidis | 1 | 0 | 0.34 |
| Marios Poulos | 2 | 109 | 15.71 |
| Sozon Papavlasopoulos | 3 | 21 | 4.79 |