Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Sumant Kumar Mohapatra"'
Publikováno v:
Measurement: Sensors, Vol 24, Iss , Pp 100519- (2022)
Epilepsy is a complex process and the prediction of seizure is uncertain. Currently, many researchers are exploring different optimization methods to detect the epileptic seizure. Atomic search optimization (ASO) shows a better search capability by u
Externí odkaz:
https://doaj.org/article/ecb31ae1f01a494f950a6714e2c4368e
Publikováno v:
International Journal on Recent and Innovation Trends in Computing and Communication. 11:57-67
Objectives: Electroencephalogram (EEG) signal gives a viable perception about the neurological action of the human brain that aids the detection of epilepsy. The objective of this study is to build an accurate automated hybrid model for epileptic sei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b666780e24a2a93db6518768fdff9d3
https://doi.org/10.17762/ijritcc.v11i4s.6307
https://doi.org/10.17762/ijritcc.v11i4s.6307
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff9904d528d6fcdffb0a29a175ef689
https://doi.org/10.1007/s12652-022-03783-3
https://doi.org/10.1007/s12652-022-03783-3
Publikováno v:
International Journal of Engineering and Advanced Technology. 9:240-246
The main aim of the proposed work is to generate an accurate automated seizure detection model for the performance evaluation of the improvement on epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long durati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c4f5b462b9f15b468135bb73100b75
https://doi.org/10.35940/ijeat.b4571.029320
https://doi.org/10.35940/ijeat.b4571.029320
Publikováno v:
BioMed Research International, Vol 2022 (2022)
BioMed Research International
BioMed Research International
Brain computer interface (BCI) requires an online and real-time processing of EEG signals. Hence, the accuracy of the recording system is improved by nullifying the developed artifacts. The goal of this proposal is to develop a hybrid model for recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b30367b1cedf4ce71d4c045599d87e0d
https://doaj.org/article/972d5d75cb2446ea89e4e1c3fe850321
https://doaj.org/article/972d5d75cb2446ea89e4e1c3fe850321
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811698729
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72276cbca174bea39e243c0d7ec2c46c
https://doi.org/10.1007/978-981-16-9873-6_35
https://doi.org/10.1007/978-981-16-9873-6_35
Publikováno v:
International Journal of Computational Systems Engineering. 5:342-348
Proposed scheme is based on the detection and classification of ictal and pre-ictal electro-encephalogram (EEG) signal of a partially affected epileptic patients. This work helps for the detection of ictal EEG signal as compared to pre-ictal EEG sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c64757f432b95bcb28396d240df349a
https://doi.org/10.1504/ijcsyse.2019.103667
https://doi.org/10.1504/ijcsyse.2019.103667
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811562013
The objective of our work is to develop an accurate automated seizure detection model that objectively evaluates the improvement on epileptic patients. This work used the Bonn University datasets for experimental works. Secondly, three types of featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd7a94a0f2865fe0fbed9fd650032031
https://doi.org/10.1007/978-981-15-6202-0_36
https://doi.org/10.1007/978-981-15-6202-0_36
The main aim of the proposed work is to generate an accurate automated seizure detection model for the performance evaluation of the improvement on epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long durati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::17a426c1807ef8077b0eaca691ff21a7
https://zenodo.org/record/5566552
https://zenodo.org/record/5566552
Publikováno v:
International Journal of Telemedicine and Clinical Practices. 3:302
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62df165ff6452a165c1dc9b565163590
https://doi.org/10.1504/ijtmcp.2022.123137
https://doi.org/10.1504/ijtmcp.2022.123137