Classification and Comparative Analysis of Control and Migraine Subjects Using EEG Signals
Migraine is an incapacitating neurovascular disorder that disables the brain by a severe headache and dysfunction of the autonomic nervous system. There is no perfect diagnosis of migraine till date. Migraine diagnosis if replaced by electroencephalogram (EEG) modality could help in the diagnosis of the disease. Recent advances in EEG signal processing have led to multi-resolution, processing, and methods of feature extraction. In this study, a nonlinear parametric method is used to acquire EEG features of and are used for the classification of control and migraine subjects. This EEG classification is carried out by classifiers based on supervised classification methods—backpropagation used in artificial neural network (ANN) and the results are compared with a bilinear supervised classifier support vector machine (SVM). The classification results confirm that the methodology has a potential to classify EEG and can be used to detect EEG of migraine subjects and could thus further result in improved diagnosis of migraine.
KeywordsElectroencephalogram Migraine Classification Entropy SVM
We would like to show our sincere gratitude toward SMS Medical College, Jaipur where we could actually collect the data and do the processing of the same. We also thank Dr. Amitabh Dube, Mr. Rajesh Sonania, Dr. Rahul Upadhyay, Dr. R. K Jain, Dr. G. D. Jindal, Dr. Abhishek Saini, Dr. Bhupendra Patel, and Dr. Indoria for their assistance with EEG signal acquisition which has a major role in the present study.
Our project is funded by a government organization and one of the authors from the government organization is mentioned in the author list. We have taken permissions to use the dataset/images and responsible for any kind of issues in future.
- 1.U. Rajendra Acharya, K.C. Chua, V. Chandran, C.M. Lim, Analysis of epileptic EEG signals using higher order spectra. J. Med. Eng. Technol. 33(1), 42–50 (2009)Google Scholar
- 4.E. Niedermeyer, The EEG in migraine and other forms of headache, in Electroencephalography, 4th ed., ed by E. Baltimore F. Niedermeyer, L. da Silva (Williams and Wilkins, 1999), pp. 595–602; T. Sand, Funct. Neurol. 6 (1991) 7; G.S. Gronseth, M.K. Greenberg, Neurology 45 (1995) 1263; J. Schoenen, G.L. Barkely, Neurophysiology, in, The Headaches ed by J. Olesen, P. Tfelt-Hansen, K.M.A. Welch (Lippincott Raven, London, 1994), pp. 199–208Google Scholar