• Korean Journal of Psychosomatic Medicine
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• v.2 no.1
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• pp.34-45
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• 1994

The author reviewed psychosomatic aspects of bronchial asthma including psychological aspect of bronchial asthma, patients' reactions to illness, reactions of therapists and families, effect of bronchial asthma on mental function, psychotherapy and pharmacotherapy. The therapists' understanding of these aspects is likely to be helpful in their predicting and understanding the type of adaptation their asthmatic patients are making to their illness. Thus, the therapists need to recognize the asthmatics' psychological needs. They also should understand the vicious cycle of anxiety-hyperventilation-panic-fear-avoidance in patients with bronchial asthma and should try to break this cycle. To make it possible, the patients' panic-fear level should be assessed and sometimes it will require psychiatrists' advice. On the other hand, the asthmatics should be trained to be shaped to relate subjective feeling of pulmonary function with objective pulmonary measures, which will enable these patients to perceive their early symptoms and to cope with asthma attack effectively. The therapists need to pay attention to their emotion during evaluation and treatment of patients with bronchial asthma, because they are less likely to perceive stress and express their emotion.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2579-2585
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• 2009

It is an important problem without system breaking. Like this, to make a computer system operate normally, various commercial fault tolerant techniques are used. Almost commercial products of fault tolerant system consume much cost. This paper proposes kernel hardening technique that are reducing panic using DLM modue in Linux USB driver. I experimented the design technique in Linux O.S. By the experiment, the suggesting technique which includes USB module with DLMis working well.

• ETRI Journal
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• v.45 no.1
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• pp.105-118
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• 2023

We tested the feasibility of automated discrimination of patients with panic disorder (PD) from healthy controls (HCs) based on multimodal physiological responses using machine learning. Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and peripheral temperature (PT) of the participants were measured during three experimental phases: rest, stress, and recovery. Eleven physiological features were extracted from each phase and used as input data. Logistic regression (LoR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) algorithms were implemented with nested cross-validation. Linear regression analysis showed that ECG and PT features obtained in the stress and recovery phases were significant predictors of PD. We achieved the highest accuracy (75.61%) with MLP using all 33 features. With the exception of MLP, applying the significant predictors led to a higher accuracy than using 24 ECG features. These results suggest that combining multimodal physiological signals measured during various states of autonomic arousal has the potential to differentiate patients with PD from HCs.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.1
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• pp.19-24
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• 2023

Objectives : Biofeedback is a useful non-pharmacological treatment for panic disorder (PD), but no studies have identified physiological markers related to the treatment response. This study investigated predictors of the treatment response for biofeedback in patients with PD. Methods : A retrospective study based on the electronic medical records of 372 adult patients with PD was performed. Patients received biofeedback treatment at least once, and physiological markers including heart rate, heart rate variability, respiratory rate, skin conductance, skin temperature, and electromyography were collected before the treatment began. The patients were classified as responders or non-responders based on the change in Clinical Global Impression-Severity (CGI-S) score. Results : The response rate to biofeedback treatment was 30.4%. Multivariable logistic regression analysis revealed that a higher CGI-S score at baseline and fewer benzodiazepine prescriptions were associated with a better response to biofeedback treatment. According to subgroup analyses, the baseline CGI-S score, dose of benzodiazepines, and skin conductance are candidate predictors of the response to biofeedback treatment in men, while only baseline disease severity was associated with the treatment response in women. Conclusions : The present results suggest that skin conductance may be target marker and predictor for biofeedback in male patients with PD.

• 대한불안의학회:학술대회논문집
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• 2006.02a
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• pp.5-17
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• 2006

• 대한불안의학회:학술대회논문집
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• 2006.02a
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• pp.28-38
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• 2006

• 대한불안의학회:학술대회논문집
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• 2006.02a
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• pp.51-60
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• 2006

• 대한불안의학회:학술대회논문집
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• 2006.02a
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• pp.61-67
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• 2006

• 대한임상약리학회:학술대회논문집
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• 2006.11a
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• pp.145-146
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• 2006

• 대한불안의학회:학술대회논문집
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• 2004.10a
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• pp.66-74
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• 2004