Classification of epileptic electroencephalogram signals using tunable-Q wavelet transform based filter-bank

Anurag Nishad; Ram Bilas Pachori

doi:10.1007/s12652-020-01722-8

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Classification of epileptic electroencephalogram signals using tunable-Q wavelet transform based filter-bank

Anurag Nishad Ram Bilas Pachori

Year: 2020 Journal: Journal of Ambient Intelligence and Humanized Computing Vol: 15 (1)Pages: 877-891 Publisher: Springer Science+Business Media

DOI: 10.1007/s12652-020-01722-8

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Keywords:

Filter bank Computer science Electroencephalography Filter (signal processing) Pattern recognition (psychology) Epileptic seizure Wavelet Wavelet transform Artificial intelligence Epilepsy Classifier (UML) Signal processing Speech recognition Telecommunications Computer vision Medicine

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Classification of epileptic electroencephalogram signals using tunable-Q wavelet transform based filter-bank

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