Using Mathematical Techniques to Analyse Biomedical Data: A K-complexes EEG Signal Classification Study

Authors

  • Hanan Al-Hadeethi College of Health and Medical Technologies, Uruk University, Baghdad, Iraq.
  • Ikhlas Al-Hadeethi College of Media/ Iraqia University, Baghdad, Iraq.

This paper endeavored to characterize the design, elaboration, and investigation of the execution of the K-complexes classification method in Electroencephalogram (EEG) signals. To solve many-aims optimization issues for the high dimensionality of every database, a mechanism for feature extraction that depends on merging the Discrete Fourier Transform (Discrete-FT) with Covariance Matrix (Cov-matrix) has been suggested. An EEG signal was split into comparatively little intervals and segments as the first step of the model design. For every EEG segment, Discrete-FT was applied. The Cov-matrix were employed to figure out the most efficient input features to represent the EEG signal. As the input to diverse classifiers, for instance, K-means and the Naïve Bayes algorithm, the extracted features were used. The suggested procedure equips a high rate of accuracy, ~94% when the outcomes were compared with current studies. In conclusion, results exhibited that the submitted process can evolve the classification of K-complexes in EEG signals. Compared with other methods, the proposed method supplied the best outcomes. Furthermore, the presented method can have functional applications to assist physicians in classifying transient events in sleep stages more precisely than the current methods. The new procedure can be utilized for several medical data species, such as restless legs syndrome, epilepsy, Focal and Non-Focal, etc.

Keywords:

2 College of Media/ Iraqia University, Baghdad, Iraq., , Classification, K-complexes, Features Extraction, K-means, Naïve Bayes Algorithm

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Using Mathematical Techniques to Analyse Biomedical Data: A K-complexes EEG Signal Classification Study . (2024). Journal Port Science Research, 7(issue), 208-218. https://doi.org/10.36371/port.2024.special.19

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Using Mathematical Techniques to Analyse Biomedical Data: A K-complexes EEG Signal Classification Study . (2024). Journal Port Science Research, 7(issue), 208-218. https://doi.org/10.36371/port.2024.special.19