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Publication Type : Research
Publisher : Elsevier
Source : Artificial Intelligence in Medicine (2023): 102542. (SCI, Impact Factor-7.011).
Campus : Coimbatore
School : School of Computing
Year : 2023
Abstract : Manual detection and localization of the brain’s epileptogenic areas using electroencephalogram (EEG) signals is time-intensive and error-prone. An automated detection system is, thus, highly desirable for support in clinical diagnosis. A set of relevant and significant non-linear features plays a major role in developing a reliable, automated focal detection system.
Cite this Research Publication : Arti Anuragi, Dilip Singh Sisodia, and Ram Bilas Pachori . " Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms ." Artificial Intelligence in Medicine (2023): 102542. (SCI, Impact Factor-7.011).