Evaluation of brain tumor classification techniques on identification of EEG in medical images
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Author |
Swathi dasi, T. Mahalakshmi, K. Srinivasa Rao and Rama Krishna Merugumalli
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e-ISSN |
1819-6608 |
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On Pages
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345-351
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Volume No. |
18
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Issue No. |
04
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Issue Date |
March 31, 2023
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DOI |
https://doi.org/10.59018/022354
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Keywords |
epilepsy, electroencephalogram (EEG), classification, feature extraction, principle component analysis and epileptic seizure detection.
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Abstract
Electroencephalogram (EEG) signal extraction is an arising idea in finding of Epilepsy. Epilepsy is the major neurological problem around shows up in one to 100 people groups experiencing last a long time in Electroencephalogram. A tremendous measure of information delivered by EEG signal observing gadgets and envisions investigation of EEG information portrayal. Anyway, discovery or ID of epilepsy to address EEG waveforms by visual examination, parcel of exploration work on bio-clinical climate. For arrangement and ID of EEG are the significant perspective continuously clinical applications. In this paper, examine about various arrangements related different savvy calculations/techniques for the distinguishing proof of epilepsy in mind or eye-related clinical pictures. Likewise portray the examination of various methodologies/strategies used to recognition or distinguishing proof of bio-clinical pictures.
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