• Korean Chemical Engineering Research
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• v.59 no.4
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• pp.626-631
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• 2021

One of the nonlinear electrokinetic phenomena around ion exchange membrane is electroconvective instability which can be found in various electrokinetic applications such as electrodialysis, electrochemical battery, microfluidic analysis platform, etc. Such instability acts as a positive transport mechanism for the electrodialysis via amplifying mass transport rate. On the other hands, in the electrochemical battery and the microfluidic applications, the instability provokes unwanted mass transport. In this research, to control the electroconvective instability, the onset of the instability was analyzed as a function of confinement effect as well as applied voltage. As a result, we figured out that the dynamic behavior of electroconvective instability transited as a sequence of stable regime - static regime - chaotic regime depending on the applied voltage and confinement effect. Furthermore, stability curves about the dynamic transition were numerically determined as well. Conclusively, the confinement effect on electroconvective instability can be applied for effective means to control the electrokinetic chaos.

• Korean Journal of Biological Psychiatry
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• v.5 no.1
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• pp.95-101
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• 1998

The changes of electroencephalogram(EEG) in patients with dementia of Alzheimer's type are most commonly studied by analyzing power or magnitude in traditionally defined frequency bands. However because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to the chaos theory, irregular signals of EEG can be also resulted from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the largest Lyapunov exponent($L_1$). The authors have analyzed EEG epochs from three patients with dementia of Alzheimer's type and three matched control subjects. The largest $L_1$ is calculated from EEG epochs consisting of 16,384 data points per channel in 15 channels. The results showed that patients with dementia of Alzheimer's type had significantly lower $L_1$ than non-demented controls on 8 channels. Topographic analysis showed that the $L_1$ were significantly lower in patients with Alzheimer's disease on all the frontal, temporal, central, and occipital head regions. These results show that brains of patients with dementia of Alzheimer's type have a decreased chaotic quality of electrophysiological behavior. We conclude that the nonlinear analysis such as calculating the $L_1$ can be a promising tool for detecting relative changes in the complexity of brain dynamics.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.5 s.305
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• pp.27-34
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• 2005

Ventricular fibrillation(VF) is generally caused by chaotic behavior of electrical propagation in heart and may result in sudden cardiac death. In this study, we proposed a ventricular fibrillation detection algorithm based on support vector machine classifier, which could offer benefits to reduce the teaming costs as well as good classification performance. Before the extraction of input features, raw ECG signal was applied to preprocessing procedures, as like wavelet transform based bandpass filtering, R peak detection and segment assignment for feature extraction. We selected input features which of some are related to the rhythm information and of others are related to wavelet coefficients that could describe the morphology of ventricular fibrillation well. Parameters for SVM classifier, C and ${\alpha}$, were chosen as 10 and 1 respectively by trial and error experiments. Each average performance for normal sinus rhythm ventricular tachycardia and VF, was 98.39%, 96.92% and 99.88%. And, when the VF detection performance of SVM classifier was compared to that of multi-layer perceptron and fuzzy inference methods, it showed similar or higher values. Consequently, we could find that the proposed input features and SVM classifier would one of the most useful algorithm for VF detection.

• Korean Journal of Biological Psychiatry
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• v.4 no.1
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• pp.67-73
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• 1997

The changes of electroencephalogram(EEG) in patients with dementia are most commonly studied by analyzing power or magnitude in certain traditionally defined frequency bands. However because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to chaos theory, irregular signals of EEG can also result from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the correlation dimension. The authors have analyzed EEG epochs from three patients with dementia of Alzheimer type and three matched control subjects. The multichannel correlation dimension is calculated from EEG epochs consisting of 15 channels with 16,384 data points per channel. The results showed that patients with dementia of Alzheimer type had significantly lower correlation dimension than non-demented controls on 12 channels. Topographic analysis showed that the correlation dimensions were significantly lower in patients with Alzheimer's disease on frontal, temporal, central, and occipital head regions. These results show that brains of patients with dementia of Alzheimer type have a decreased complexity of electrophysiological behavior. We conclude that the nonlinear analysis such as calculating correlation dimension can be a promising tool for detecting relative changes in the complexity of brain dynamics.

• Journal of Korean Academy of Nursing
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• v.27 no.2
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• pp.444-453
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• 1997

The purpose of this study was to construct a grounded theory as the basis for nursing intervention by describing and analysing the holistic lived experiences of clients receiving long-term hemodialysis. The subjects of this study were fifteen persons receiving regular hemodialysis regimen at artificial kindey treatment centers in two different university hospitals, and who were able to participate in conversation and were available for long and dup interviews. Eight of the subjects were male and seven were female and their ages ranged from 30's to 60's. The length of the hemodialysis experience ranged from two months to six years. The collection and analysis of data were done in accordance with the grounded theory methodology of Strauss & Corbin. The method to collect the data mainly depended. on long and deep interviews, participant observation and focused group interviews and the equipment used to collect data were a portable tape recorder and field notes. The study is summarized as follows : 1. The meaning of holistic lived experiences of clients receiving long -term hemodialysis was found to be uncertainty. which was identified as the core category. 2. The main categories following the core category were found to be shock, ambiguity, social support and quality of life. 3. Through the main category the type of behavior newly formed by clients receiving long-term hemodialysis was found to be as follows. That is to say, in the circumstances of shock caused by the identified fact and the ambiguity of hemodilysis they formed a quality of life based on social support, which was found to be a kind of chaotic phenomenon. 4. The lived experiences of clients receiving long-tern hemodialysis was found to include nine categories : emotional shock, feelings of isolation, burden, unclearness, dependency, help from others, coping strategies, maintenance of self-esteem and transitional life. 5. The intervening factors influencing each category are as follows : 1) The factors influencing 'emetional shock' were found to be set age, the level of knowledge received in advance, locus of control, the period of struggle against the disease before hemodialysis and whether any serious illness existed. 2) The factors influencing 'feelings of isolation' were found to be religion and the length of the hemodialysis experience. 3) The factors influencing 'burden' were found to be sex, economic situation, employment status and the length of the hemodialysis experience. 4) The factors influencing 'unclearness' were found to be sex, age, religion. economic situation, the length of the hemodiaysis experience, whether they had had a transfusion and whether there were any complications. 5) The factors influencing 'help from others' were found to be religion. economic situation, past experiences and whether family members lived together. 6) The factors influencing 'coping strategies' were foung to be age, level of education, experiences of illness and locus of control. 7) The factors influeruing 'maintenance of self-esteem' were found to be the length of the hemodialysis experience and self-actualization. 8) The factors influencing 'transitional life' were found to be age, religion, economic situation, employment status. locus of control. past experiences and whether there was a plan for a kidney transplant.