Deep Optimized Electrodes and Frequency Bands in the Phase Space for Identification of Seizures

Abstract

The electroencephalogram (EEG) has been extensively used to record brain signals for the analysis of neurological<br>diseases over several decades. Epilepsy is the one of the most common neurological disorder in the world. It is associated with seizures, which are a clinical manifestation of abnormal, excessive excitation and synchronisation of a population of cortical neurons, resulting in abrupt changes in consciousness, movement, behaviour, and feelings. Our goal in this letter is to propose a computationally efficient EEG based system that can detect seizures with improved detection performance. To deeply optimize the electrodes and frequency bands, we proposed a fast computational algorithm by finding the critical electrodes and optimal sub-bands of EEG signals. We used wavelet packet decomposition (WPD) to find optimal sub-bands and maximum relevance minimum redundancy (mRMR) method for electrodes selection. It is found that the portrait of the features in the phase space depicted promising discriminating ability to detect seizure efficiently. Experimental results show that the proposed method outperformed the state-of-art methods and provided 100% and 94.79% of detection accuracy on UBonn and CHB-MIT datasets, respectively, at a significantly reduced computational cost. <br>

Evaluation of Genetic Variability within a Collection of Cumin Genotypes Using RAPD, ISSR, SRAP and SCoT Markers and Variability of In Vitro Callus Induced Therefrom

“…To fill the gap in the characterization of cumin germplasm, great effort is necessary from specialists in different regions with widespread cultivation of cumin in order to obtain reliable documentation and characterization of cumin germplasm [5]. Assessments of genetic variability have been reported for several cumin populations using the traditional phenotypic methods, yet they expose environmental interactions with genotypes together with being costly and time-consuming [4,10]. Thus, dominant markers such as RAPD, ISSR and AFLP and simple sequence repeats (SSRs) or microsatellites have been employed by several authors looking for a more reliable, reproducible, informative and effective way of assessing genetic variability [10,11].…”

“…Assessments of genetic variability have been reported for several cumin populations using the traditional phenotypic methods, yet they expose environmental interactions with genotypes together with being costly and time-consuming [4,10]. Thus, dominant markers such as RAPD, ISSR and AFLP and simple sequence repeats (SSRs) or microsatellites have been employed by several authors looking for a more reliable, reproducible, informative and effective way of assessing genetic variability [10,11]. Countless plant species have been subjected to fingerprinting using different DNA markers.…”