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Machine learning approach for epileptic seizure detection using the tunable-Q wavelet transform based time–frequency features

Sasweta Pattnaik, Nirmal Kumar Rout, Sukanta Sabut

2022International Journal of Information Technology30 citationsDOI

Topics & Concepts

Support vector machineComputer scienceElectroencephalographyEpilepsyArtificial intelligencePattern recognition (psychology)Epileptic seizureRandom forestWavelet transformClassifier (UML)WaveletFeature extractionTime–frequency analysisSpeech recognitionNeurosciencePsychologyComputer visionFilter (signal processing)EEG and Brain-Computer InterfacesBlind Source Separation TechniquesECG Monitoring and Analysis
Machine learning approach for epileptic seizure detection using the tunable-Q wavelet transform based time–frequency features | Litcius