title: Comparative analysis of classifiers for developing an adaptive computer-assisted EEG analysis system for diagnosing epilepsy.
abstract: Computer-assisted analysis of electroencephalogram (EEG) has a tremendous potential to assist clinicians during the diagnosis of epilepsy. These systems are trained to classify the EEG based on the ground truth provided by the neurologists. So, there should be a mechanism in these systems, using which a system's incorrect markings can be mentioned and the system should improve its classification by learning from them. We have developed a simple mechanism for neurologists to improve classification rate while encountering any false classification. This system is based on taking discrete wavelet transform (DWT) of the signals epochs which are then reduced using principal component analysis, and then they are fed into a classifier. After discussing our approach, we have shown the classification performance of three types of classifiers: support vector machine (SVM), quadratic discriminant analysis, and artificial neural network. We found SVM to be the best working classifier. Our work exhibits the importance and viability of a self-improving and user adapting computer-assisted EEG analysis system for diagnosing epilepsy which processes each channel exclusive to each other, along with the performance comparison of different machine learning techniques in the suggested system.
authors.affiliation: SMME, National University of Sciences & Technology, Islamabad 44000, Pakistan.
authors.forename: Malik Anas
authors.identifier: 0000-0001-6477-4396
authors.initials: MA
authors.lastname: Ahmad
authors.affiliation: SMME, National University of Sciences & Technology, Islamabad 44000, Pakistan.
authors.forename: Yasar
authors.identifier: 0000-0001-8495-5733
authors.initials: Y
authors.lastname: Ayaz
authors.affiliation: SMME, National University of Sciences & Technology, Islamabad 44000, Pakistan.
authors.forename: Mohsin
authors.initials: M
authors.lastname: Jamil
authors.affiliation: SMME, National University of Sciences & Technology, Islamabad 44000, Pakistan.
authors.forename: Syed
authors.initials: S
authors.lastname: Omer Gillani
authors.affiliation: Department of Electrical Engineering, COMSATS Institute of IT, Islamabad 44000, Pakistan.
authors.forename: Muhammad Babar
authors.identifier: 0000-0002-9911-0693
authors.initials: MB
authors.lastname: Rasheed
authors.affiliation: King Saud University, P.O. Box 92144, Riyadh 11543, Saudi Arabia.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Imran
authors.affiliation: Lahore University of Management Sciences, Lahore 54000, Pakistan.
authors.forename: Nadeem Ahmed
authors.initials: NA
authors.lastname: Khan
authors.affiliation: Lahore University of Management Sciences, Lahore 54000, Pakistan.
authors.forename: Waqas
authors.initials: W
authors.lastname: Majeed
authors.affiliation: Department of Electrical Engineering, COMSATS Institute of IT, Islamabad 44000, Pakistan ; Department of Computer Science, COMSATS Institute of IT, Islamabad 44000, Pakistan.
authors.forename: Nadeem
authors.identifier: 0000-0003-3777-8249
authors.initials: N
authors.lastname: Javaid
mesh_terms: D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography / Q000145:classification / Q000379:methods*; D004827:Epilepsy / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology; D006801:Humans; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted; D060388:Support Vector Machine; D014584:User-Computer Interface
references.citation: Circulation. 2000 Jun 13;101(23):E215-20
references.pmid: 10851218
references.citation: J Neurosci Methods. 2003 Feb 15;123(1):69-87
references.pmid: 12581851
references.citation: Epilepsy Behav. 2009 May;15(1):22-33
references.pmid: 19248841
references.citation: IEEE J Biomed Health Inform. 2013 Mar;17(2):312-8
references.pmid: 24235109
references.citation: J Med Syst. 2012 Feb;36(1):347-62
references.pmid: 20703714
references.citation: Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4314-7
references.pmid: 24110687
references.citation: Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4820-3
references.pmid: 22255417