Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

Md Mursalin; Yuan Zhang; Yuehui Chen; Nitesh V. Chawla

doi:10.1016/j.neucom.2017.02.053

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Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

Md Mursalin Yuan Zhang Yuehui Chen Nitesh V. Chawla

Year: 2017 Journal: Neurocomputing Vol: 241 Pages: 204-214 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2017.02.053

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Keywords:

Random forest Computer science Pattern recognition (psychology) Electroencephalography Artificial intelligence Epileptic seizure Correlation Feature selection Epilepsy Classifier (UML) Entropy (arrow of time) Mathematics Neuroscience

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Gaze Tracking and Assistive Technology

Physical Sciences → Computer Science → Human-Computer Interaction

Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

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