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In this study, Relative Power Ratio (RPR) technique is used to analyze the Power Spectral Density (PSD) of the EEG signal. RPR technique is used to observe the difference value of power spectral between sub bands for difference level of group for stroke. In this research, more than hundred stroke patients brainwave activity with open eyes (OE) session are used. Then, they are group into Early Group...
This paper presents a non-parametric method to produce stress index using Electroencephalogram (EEG) signals. 180 EEG datasets from healthy subjects were evaluated at two cognitive states; resting state (Eyes Closed) and working state (Eyes Open). In working cognitive state, subjects were asked to answer the Intelligence Quotient (IQ) test questions. The EEG datasets were categorized into 4 groups...
Frontal alpha asymmetry is used as the EEG feature in this study. Total number of 43 students participated in EEG data collections of relax and non-relax conditions. The spectral power of the alpha band for both left and right brain are extracted using data segmentations and then the Asymmetry Score (AS) is computed. Subtractive clustering is used to predetermine the number of cluster center that...
Studies on human body have shown that they radiate frequencies into space. Radiation of the human body has become attractive biometric feature that is based on holistic body information. This study presents a new technique for classification that is used to classify gender of males and females through frequency radiation analysis in torso region. The classification algorithm of k-nearest neighbor...
This paper presents the combination of electroencephalogram (EEG) power spectrum ratio and Spectral Centroids techniques to extract unique features for human stress from EEG signals. The combination of these techniques was able to improve the k-NN (k-Nearest Neighbor) classifier accuracy to detect and classify human stress from two cognitive states, Close-eye (CE) and Open-eye (OE). The EEG power...
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