Analysis of Electroencephalogram Report Using the Wavelet Transform

Introduction The electroencephalography (EEG) is a graphical representation of the electrical activity of the brain, which is recorded through electrodes placed on the scalp and is used as the method of choice for the diagnosis of epilepsy. The appropriate assessment of this report despite valid entries now is able to give a very small number of doctors in this field. Misdiagnosis of epilepsy leads to multiple negative consequences. Using the wavelet transformation can be identified all interictal spikes in this report, which is a big advantage in interpretciji compared with the standard method. The wavelet transform signal is represented with wavelet functions that are generated from the basic functions with the procedures of scaling and translation. This method in the analysis of EEG recording is faster, clearer, more precise, and possibly a cheaper method. This study was done in the Department of Neuropediatricians of the Pediatric Clinic of the University Clinical Centre in Sarajevo, where we analyzed the EEG signals in patients with epilepsy using wavelet transform. The respondents were people aged 1 to 18 years with a diagnosis of epilepsy. These results were verified with conventional method.

Aim Using the wavelet transform greatly contributes to the correct and objective interpretation of the EEG records.

Materials and Methods We presented the mathematical model of the Wavelet transform analysis of EEG records of people diagnosed with epilepsy.

Keywords electroencephalography; wavelet transform; analysis; epilepsy; interictal spikes