Analysis of EEG using variational mode decomposition method for diagnosis of epilepsy
- 16 April 2020
- conference paper
- conference paper
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 2222 (1), 030016
- https://doi.org/10.1063/5.0004219
Abstract
EEG represents electrical activity of the brain. Various brain disorders can be analyzed from the information that can be extracted from EEG signal. Extraction of relevant information from EEG is an arduous task due to the highly chaotic nature of EEG signal. Various signal processing techniques can be employed for this process. Variational mode decomposition(VMD) technique involves decomposition of EEG into sub bands characterized by limited bandwidth and characterized by center frequency. The value of center frequency is extracted for the sub bands and the value is analyzed as a parameter for diagnosing normal EEG and diseased EEG.Keywords
This publication has 8 references indexed in Scilit:
- Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stackingBiomedical Signal Processing and Control, 2019
- Adaptive variational mode decomposition method for signal processing based on mode characteristicMechanical Systems and Signal Processing, 2018
- Filter bank property of variational mode decomposition and its applicationsSignal Processing, 2016
- Variational Mode DecompositionIEEE Transactions on Signal Processing, 2013
- A systematic analysis of performance measures for classification tasksInformation Processing & Management, 2009
- EEG Signal Analysis: A SurveyJournal of Medical Systems, 2008
- Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain statePhysical Review E, 2001
- Statistical Power AnalysisCurrent Directions in Psychological Science, 1992