TY - GEN
T1 - Mining of EEG Signals for Interpretation of Human Brain Related Ailments
T2 - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
AU - Nayak, Geetanjali
AU - Padhy, Neelamadhab
AU - Mishra, Tusar Kanti
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - In this paper, a detailed analysis of several major works related to study and analysis of Electroencephalography (EEG) signals using imaging and data mining techniques have been presented. The state-of-the-arts methods like spatial analysis, wavelet analysis, frequency domain analysis, artificial neural networks, deep neural networks etc have been discussed with associated contributions in the literature. A comprehensive comparison of all such mechanisms have been done and presented in a tabular manner. This paper also discusses about the existing challenges, shortfalls in present techniques, and future demands of EEG analysis through imaging and data mining techniques.
AB - In this paper, a detailed analysis of several major works related to study and analysis of Electroencephalography (EEG) signals using imaging and data mining techniques have been presented. The state-of-the-arts methods like spatial analysis, wavelet analysis, frequency domain analysis, artificial neural networks, deep neural networks etc have been discussed with associated contributions in the literature. A comprehensive comparison of all such mechanisms have been done and presented in a tabular manner. This paper also discusses about the existing challenges, shortfalls in present techniques, and future demands of EEG analysis through imaging and data mining techniques.
UR - https://www.scopus.com/pages/publications/85089775841
UR - https://www.scopus.com/pages/publications/85089775841#tab=citedBy
U2 - 10.1109/ICCSEA49143.2020.9132911
DO - 10.1109/ICCSEA49143.2020.9132911
M3 - Conference contribution
AN - SCOPUS:85089775841
T3 - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
BT - 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 March 2020 through 14 March 2020
ER -