Renowned scientist and philosopher Galvani was the first person to discover electrical activity in living organism in the 18th century [1]. And later the celebrated electro physiologist Hans Berger successfully recorded electrical activity from the human brain using electroencephalography (EEG), which measures voltage oscillations due to ions flow in the neurons of the brain [1]. Today, EEG is one of the popular non-invasive techniques to record brain activity in clinical and research settings, and there is a wide range of cheaply accessible applications for the analysis and interpretation of these measurements. EEG data carries an immense potential in its usability in various areas including human computer interaction, psychology, and neurological
…show more content…
EEG signals characterize the result of the neuron activities inside of a human brain. There are five major waves recorded by EEG- alpha, beta, gamma, theta and delta, which correspond to different brain states (Table 1). EEG signals indicate that neural patterns of meanings in each brain occur in trajectories of discrete steps, whist the amplitude modulation in EEG wave is the mode of expressing meanings [4]. Zhou et al have proposed some novel features for EEG signals to be used in brain-computer interface (BCI) system to classify left and right hand motor imagery [5]. The experimental results have shown that based on the proposed features, the classifiers using linear discriminant analysis, support vector machines and neural network achieve better classification performance than the BCI-competition 2003 winner on the same data set in terms of the criteria of either mutual information or misclassification …show more content…
For example, statistics models are built by applying statistical analysis to collected data from meditation practitioners, while micro models try to catch physiological features of the brain state under examination. Current literatures show that both methods are used in the study of complementary and alternative medicine, which includes meditation as one of the methods. One approach is to study finite differences within the minds of those practicing meditation, and those who do not. Such an endeavor is an avenue towards modeling a wide range of brain states [9]. Loizzo et al, performed a 20-week contemplative self-healing program study, which showed that a contemplative self-healing program can be effective in significantly reducing distress and disability among the testers [10]. Habermann et al, on the other hand, performed a long-term (5-20 years) project to investigate the use of complementary and alternative medicine and its effects on the testers’ health [11]. Comparisons across different groups of people are also found. For example, in a 6-week mindfulness-based stress reduction program, subjects assigned to the program demonstrated significant improvements in psychological status and quality of life compared with usual care [12]. Another study where a group of Qigong practitioners were compared to a control group and positive impact on the quality of life
EEG signals characterize the result of the neuron activities inside of a human brain. There are five major waves recorded by EEG- alpha, beta, gamma, theta and delta, which correspond to different brain states (Table 1). EEG signals indicate that neural patterns of meanings in each brain occur in trajectories of discrete steps, whist the amplitude modulation in EEG wave is the mode of expressing meanings [4]. Zhou et al have proposed some novel features for EEG signals to be used in brain-computer interface (BCI) system to classify left and right hand motor imagery [5]. The experimental results have shown that based on the proposed features, the classifiers using linear discriminant analysis, support vector machines and neural network achieve better classification performance than the BCI-competition 2003 winner on the same data set in terms of the criteria of either mutual information or misclassification …show more content…
For example, statistics models are built by applying statistical analysis to collected data from meditation practitioners, while micro models try to catch physiological features of the brain state under examination. Current literatures show that both methods are used in the study of complementary and alternative medicine, which includes meditation as one of the methods. One approach is to study finite differences within the minds of those practicing meditation, and those who do not. Such an endeavor is an avenue towards modeling a wide range of brain states [9]. Loizzo et al, performed a 20-week contemplative self-healing program study, which showed that a contemplative self-healing program can be effective in significantly reducing distress and disability among the testers [10]. Habermann et al, on the other hand, performed a long-term (5-20 years) project to investigate the use of complementary and alternative medicine and its effects on the testers’ health [11]. Comparisons across different groups of people are also found. For example, in a 6-week mindfulness-based stress reduction program, subjects assigned to the program demonstrated significant improvements in psychological status and quality of life compared with usual care [12]. Another study where a group of Qigong practitioners were compared to a control group and positive impact on the quality of life