• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.387-393
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• 2016

The aim of this study is to analyze the effectiveness of QEEG-based neurofeedback clinical tests on patients diagnosed with anxiety disorder. Researchers tested six patients with anxiety disorder using 32-channel QEEG(Quantitative electroencephalograpy) and neurofeedback training equipment. The study measured anxiety levels of patients using QEEG and BAI physiological psychology tests. Test results found hyperactive beta waves present in all six patients' temporal lobe. The intensity of the wave of the right hemisphere temporal lobe T4(M=31.07) was the higher than that of the left hemisphere temporal lobe 3(M=29.11). Following Neurofeedback training, the beta wave of the right hemisphere lobe was reduced significantly in all patients. The average anxiety level decreased from 23.57 to 12.14 after the neurofeedback training. In addition, among the two patients who were taking medication, one patient reduced his dosage while the other patient discontinued taking medication. This result implies that the QEEG neurofeedback training technique can be effectively applied to patients with anxiety disorder.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.11
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• pp.265-272
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• 2020

In the research of brain computer interface (BCI) technology, one of the big problems encountered is how to deal with some people as called the BCI-illiteracy group who could not control the BCI system. To approach this problem efficiently, we investigated a kind of spectral EEG characteristics in the prior resting state in association with BCI performance in the following BCI tasks. First, spectral powers of EEG signals in the resting state with both eyes-open and eyes-closed conditions were respectively extracted. Second, a convolution neural network (CNN) based binary classifier discriminated the binary motor imagery intention in the BCI task. Both the linear correlation and binary prediction methods confirmed that the spectral EEG characteristics in the prior resting state were highly related to the BCI performance in the following BCI task. Linear regression analysis demonstrated that the relative ratio of the 13 Hz below and above the spectral power in the resting state with only eyes-open, not eyes-closed condition, were significantly correlated with the quantified metrics of the BCI performance (r=0.544). A binary classifier based on the linear regression with L1 regularization method was able to discriminate the high-performance group and low-performance group in the following BCI task by using the spectral-based EEG features in the precedent resting state (AUC=0.817). These results strongly support that the spectral EEG characteristics in the frontal regions during the resting state with eyes-open condition should be used as a good predictor of the following BCI task performance.

• Annals of Clinical Neurophysiology
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• v.2 no.2
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• pp.70-80
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• 2000

Purpose : This study was performed to evaluate the antistress effects of two aromatic blends being composed of synergic essential oils and also to differentiate its effectiveness between two. Methods : The subject were 20(10 for men, 10 for women) for vital factors and another 20(10 for mem, 10 for women) for serum catecholamine. Vital factors(blood pressure, pulse), electroencephalograpy, psychological tests(SACL, STAI) and serum catecholamine were applied to the subjects. Results : 1. All two aromatic synergic blends revealed no significant differnce of vital factors after inhalation but stable conditions generally by lowering pulse and blood pressure after inhalation. 2. Both blends were significantly valuable in antianxiety and antistress effects statistically. There were no statistically difference between two blends. 3. There were no significant difference in all brain waves after inhalation of two blends but generally stable brain waves were seen in all areas. 4. There were antistress effects of both blends in accordance of decreased serum catecholamines after inhalation of both blends. There were no significantly difference between two blends statistically. Conclusion : Both two aromatic synergic blends reached effective antistress and antianxiety states after inhalation of each blends. There were no significant difference between two blends. Further studies about the effectiveness between the amount of aromatic essential oils and the duration of inhalation should be considered. Also clinical applications of these two aromatic synergic blending oils to develop the aromatic products would be affordable in the future.