The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents human stress pattern for alpha and beta waves obtained from EEG Power Spectrum analysis. The EEG stress evaluation conducted between human Cohen's PSS-10 Stress Questionnaires with EEG Power Spectrum. The EEG recording had been carried out among 86 volunteers as soon as they finished answering the stress questionnaires. The scores from questionnaires were computed immediately right...
The body earthing technique is a kind of method that can neutralize our positive charge and negative charge in our body by connecting to the earth. It is believed that body earthing gives a positive effect on human body. There is a possibility that EEG signals can verify the positive effect of body earthing. The experiment of body earthing is done by attaching the patched kit to the hand of the subjects...
This study presents a small part of the major study, involved in categorizing EEG calmness. The kNN classifier was used to classify EEG features named as asymmetry index (AsI) which was extracted during relaxed state and non-relaxed state. Results from the previous study showed that the EEG behaviour during both states appear to have more than two groups. The group of four EEG behaviours and three...
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...
The term intelligence is associated in many areas such as linguistic, mathematical, music and art. In this paper, Intelligence Quotient (IQ) is measured using Electroencephalogram (EEG) from the human brain. The EEG signals are then used to form the spectrogram images, from which a large data of Gray Level Co-occurrence Matrix (GLCM) texture features were extracted. Then, Principal Component Analysis...
The aim of this research is study the effects of mobile phone radiations on left and right sides of human brain. High frequency group of brainwave signals (beta and alpha will be compared in term of correlation and brainwaves pattern after being exposed to the radio frequency. The brainwave signals of alpha and beta frequency bands were recorded using electroencephalograph (EEG) for three states which...
Students Learning Style (LS) and Personality Traits have been considered as a major components in education domain. The success of teaching and learning could be enhanced by considering the learners' preferred LS. On the other hand, Neuroticism is one of the traits that could shed some light on the learners' well-being. In this study, the participants' LS and Neuroticism attribute were investigated...
This paper investigates the difference between the left and the right brainwaves for delta and theta frequency band after horizontal rotation (HR) intervention using electroencephalography (EEG). The EEG signals were captured from the samples before and after under-going HR. The artifact of the EEG signals was removed automatically by means of a program designed to eliminate data above 100 micro volts...
In this research, Wireless EEG equipment via Bluetooth technology named g-Mobilab was used to measure the brainwave signals in the right and left frontal area of the brain. The recorded EEG signals were channelled into an automatic artifact removal analysis whereby signals above values of 100 micro-volts were removed by means of a program using Matlab. Consequently, Power Spectral Density techniques...
This paper presents a results of designing an intelligent system to evaluate human stress level using Electroencephalogram (EEG) signals and Psychoanalysis tests. The questionnaires for Psychoanalysis tests were created based on Cohen's Perceived Stress Scale (PSS). EEG signals were captured using wireless EEG equipment. The Graphical User Interface (GUI) for the Psychoanalysis tests and EEG signals...
Learning style had become an importance researched subject for understanding how individual learns. Apart from that, personality traits such as emotions, moods and self-motivation of the learners were also being actively studied. In this research, the learners' learning style and their personality traits were investigated by Electroencephalogram (EEG) Frontal Asymmetry. First, The participants (N=41)...
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...
This paper presents EEG Asymmetry and Spectral Centroids techniques in extracting unique features for human stress. The study involved 51 subjects (27 males and 24 females) for Close-eye state(do nothing) and 50 subjects (21 males and 29 females) for Open-eye state (perform IQ test). The subjects then were categorized into 2 groups for all EEG frequency bands (Delta, Theta, Alpha and Beta) by using...
Over the past century, time based and frequency based is used for analyzing Electroencephalography (EEG) signals. EEG is a scientific tool for measure signal from human brain. This paper proposes a time-frequency approach or spectrogram image processing technique for analyzing EEG signals. Gray Level Co-occurrence Matrix (GLCM) texture feature were extracted from spectrogram image and then Principal...
This paper presents a results of a study to investigate the relationship between Intelligence Quotient (IQ) of humans with their Electroencephalogram (EEG) Spectrum Power in term of the correlation of Beta and Alpha band power. The EEG was recorded from 50 subjects with 21 males and 29 females (mean of age = 23.16, SD = 3.8) for two tasks; closed-eyes (doing nothing in relax state) and IQ test. The...
Several studies had shown that frontal alpha-asymmetry is closely related to emotions and motivation. The present study is to investigate the frontal alpha asymmetry during listening to the therapy musical piece. Electroencephalograph (EEG) was used to investigate the emotions states of relax, tense, sad or not focus. 10 participants were involved in this study. Mean power of both hemispheres was...
This paper presents an investigation of a new technique to measure and indicate the level of human physical stress by studying and evaluating the pattern of the brainwaves using Electroencephalogram (EEG). The EEG data is analyzed using an intelligent signal processing techniques in order to indicate the level of the physical stress.
Recently computer hardware and signal processing have made possible the use of Electroencephalographic (EEG) to measure brainwaves which gives information about brain activity. This paper presents an initial investigation of EEG analysis using topography. The proposed method look at the possibility of imaging the EEG signals to provide various colors or contrast representing different amplitude measurements...
The main focus of this research is to analyze EEG signal of smokers after undergoing Horizontal Rotation (HR) treatment. 21 male smokers were sampled in this study. EEG data was captured before and after HR for 5 sessions. In addition, some demographic data were gathered from the samples to check their smoking habits. It was found that, HR significantly improves the Alpha band that could reduce the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.