• Journal of Biomedical Engineering Research
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• v.17 no.2
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• pp.263-273
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• 1996

The time instants, at which QRS complexes are detected, are used in the electrocardioyam rhythm analysis. Hence, it is necessary that all QRS complexes are detected and that no other waves or artifacts are wrongly labeled as such. These time instants are also used in other tasks as an indication of the location of significant events in the ECG. For example, the QRS typification algorithm uses these points to define the region of interest for complex comparison and alignment. When waveform recognition is drone for each complex, these points are used to define search intervals in which the onset and the end of the QRS nmplex have to be found This paper proposes the method for the detection of QRS complexes and decision rule for the classification scheme. The efficiency of the detection is demonstrated with the aid of an internationally validated CSE(Common Standard for Quantitative Electrocardioyaph) data set 3 and 4.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.213-214
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• 2009

무선 센서들의 진보에 따라 환자의 상태를 모니터링 하거나 정보를 저장 후 원거리에 있는 의사들의 진단 제공이 가능하게 되었다. 하지만 환자의 데이터의 양에 비해 의사의 수가 적으므로 환자가 진단을 제공 받는데 시간적인 한계가 있다. 따라서 본 연구에서는 환자의 상태를 1 차적으로 자동 진단하는 시스템을 제안한다. 전체 데이터의 적용을 위해 Circadian rhythm에 기반한 데이터 직접방법을 제안하고 데이터를 효율적으로 분류하기 위해 PSO(Particle Swarm Optimization)을 기반으로 하는 분류화 알고리즘을 적용하여 시스템의 수행속도 향상을 도모하였다.

• International Journal of Control, Automation, and Systems
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• v.3 no.4
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• pp.571-579
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• 2005

In this paper, we proposed an algorithm for arrhythmia classification, which is associated with the reduction of feature dimensions by linear discriminant analysis (LDA) and a support vector machine (SVM) based classifier. Seventeen original input features were extracted from preprocessed signals by wavelet transform, and attempts were then made to reduce these to 4 features, the linear combination of original features, by LDA. The performance of the SVM classifier with reduced features by LDA showed higher than with that by principal component analysis (PCA) and even with original features. For a cross-validation procedure, this SVM classifier was compared with Multilayer Perceptrons (MLP) and Fuzzy Inference System (FIS) classifiers. When all classifiers used the same reduced features, the overall performance of the SVM classifier was comprehensively superior to all others. Especially, the accuracy of discrimination of normal sinus rhythm (NSR), arterial premature contraction (APC), supraventricular tachycardia (SVT), premature ventricular contraction (PVC), ventricular tachycardia (VT) and ventricular fibrillation (VF) were $99.307\%,\;99.274\%,\;99.854\%,\;98.344\%,\;99.441\%\;and\;99.883\%$, respectively. And, even with smaller learning data, the SVM classifier offered better performance than the MLP classifier.

• Journal of KIISE
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• v.41 no.12
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• pp.1050-1057
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• 2014

Electroencephalogram (EEG)-based brain-computer interfaces (BCI) can be used for a number of purposes in a variety of industries, such as to replace body parts like hands and feet or to improve user convenience. In this paper, we propose a method to decompose and extract motor imagery EEG signal using Empirical Mode Decomposition (EMD) and Fast Fourier Transforms (FFT). The EEG signal classification consists of the following three steps. First, during signal decomposition, the EMD is used to generate Intrinsic Mode Functions (IMFs) from the EEG signal. Then during feature extraction, the power spectral density (PSD) is used to identify the frequency band of the IMFs generated. The FFT is used to extract the features for motor imagery from an IMF that includes mu rhythm. Finally, during classification, the Support Vector Machine (SVM) is used to classify the features of the motor imagery EEG signal. 10-fold cross-validation was then used to estimate the generalization capability of the given classifier., and the results show that the proposed method has an accuracy of 84.50% which is higher than that of other methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1490-1499
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• 2022

Arrhythmia is a condition in which the heart has an irregular rhythm or abnormal heart rate, early diagnosis and management is very important because it can cause stroke, cardiac arrest, or even death. In this paper, we propose arrhythmia classification using hybrid combination model of CNN-BLSTM. For this purpose, the QRS features are detected from noise removed signal through pre-processing and a single bit segment was extracted. In this case, the GAN oversampling technique is applied to solve the data imbalance problem. It consisted of CNN layers to extract the patterns of the arrhythmia precisely, used them as the input of the BLSTM. The weights were learned through deep learning and the learning model was evaluated by the validation data. To evaluate the performance of the proposed method, classification accuracy, precision, recall, and F1-score were compared by using the MIT-BIH arrhythmia database. The achieved scores indicate 99.30%, 98.70%, 97.50%, 98.06% in terms of the accuracy, precision, recall, F1 score, respectively.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.2
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• pp.83-93
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• 2017

This study covers pattern differentiation based on Korean medical references, research trend and modern clinical applications about Sleep-Wake disorders of Diagnostic and Statistical Manual of Mental Disorders(DSM-V) published by American Psychiatric Association. Insomnia disorder is mostly caused by yin deficiency of liver-kidney or liver qi depression and main patterns are heart-kidney non-interaction, deficiency-excess complex pattern containing phlegm-heat due to qi stagnation and blood stasis. Hypersomnolence disorder is more due to yang deficiency rather than yin deficiency and it's major pattern is spleen-kidney yang deficiency. Cataplexy is main feature in narcolepsy and corresponds to depressive psychosis or fainting in terms of Korean Medicine and narcolepsy is assumed to be relevant to liver wind. Breathing-related sleep disorders are related with phlegm-fluid retention brought on spleen deficiency with dampness encumbrance. Pattern of circadian rhythm sleep-wake disorders is combined with yin deficiency of liver-kidney or liver qi depression of insomnia disorder and spleen-kidney yang deficiency or dampness-phlegm of hypersomnolence disorder. Yin deficiency with effulgent fire brought on drugs or alcohol is one of main patterns of substance/medication-induced sleep disorder and combined patterns with yin deficiency of liver-kidney and blood stasis or dampness-phlegm-heat are mostly applied clinically. This study drew major and frequently applied patterns of sleep-wake disorders based on Koran medical literature and modern clinical applications. And that can be the groundwork for the task ahead like clinical practice guideline of sleep-wake disorders containing pattern differentiation, diagnosis and prescriptions.

• Journal of Oriental Neuropsychiatry
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• v.29 no.2
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• pp.79-97
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• 2018

Objectives: The purpose of this systematic review was to investigate the clinical effects of neurofeedback training on reducing anxiety. Methods: Eight databases were used to extract clinical reports on neurofeedback intervention for anxiety reduction published until 2016. We analyzed the characteristics of selected studies and evaluated biases using the Risk of Bias (RoB) assessment. Results: A total of 22 clinical trials were extracted for the analysis. The risk of bias in most studies was high or unclear. The Chinese Classification of Mental Disorders-3 (CCMD-3) was the most frequently used diagnostic criteria, the Hamilton Rating Scale for Anxiety (HAMA) was the most frequently used assessment tool, and the alpha wave activity increase, sensorimotor rhythm (SMR), and theta wave training were the most frequently used intervention methods. All papers showed a statistically significant decrease of anxiety symptoms; however, significant adverse events were not reported. Conclusions: Neurofeedback intervention might be beneficial for reducing anxiety. However, the quality of the studies used in the analysis was low, and the heterogeneity of the population and interventions was revealed. Therefore, more scientifically designed clinical studies regarding neurofeedback training are required.

• Journal of Chest Surgery
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• v.28 no.9
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• pp.811-816
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• 1995

Repairs of atrial septal defect utilizing cardiopulmonary bypass were performed in 50 adults, ranging age from 16 to 53 years, since April 1986 up to October 1994. They occupied 38.8% of all adult congenital heart disease operated in the same period. Preoperatively, 16 patients were functional class II, 12 patients class III and 4 patients class IV[New York Heart Association Classification , respectively. Five patients combined with atrial fibrillation and the remainders revealed regular sinus rhythm. Cardiac catheterizations were performed in 43 out of 50 patients, and revealed a systolic pulmonary arterial pressure in excess of 51 mmHg in 4 patients but none had reversed shunt. 40 patients[80% were repaired with patch closure and remainings were repaired with direct closure. 49 patients were followed up for 2 months up to 102 months[average 55 months . A comparison of the preoperative and postoperative functional class demonstrated a mean decrease of one NYHA functional level[2.5$\pm$0.63 to 1.4$\pm$0.56 . There was no operative mortality. One patient died during the follow-up period and the death was unrelated to heart disease. Operative treatment is indicated for repair of atrial septal defect with left to right shunt in the adult patient and a considerable clinical improvement can be anticipitated with low mortality.

• Clinical and Experimental Pediatrics
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• v.52 no.7
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• pp.752-755
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• 2009

It is well known that hemodynamic load is one of the most important determinants of cardiac structure and function. Circadian variations in blood pressure (BP) are usually accompanied by consensual changes in peripheral resistance and/or cardiac output. In recent years, reduction in circadian variations in BP and, in particular, loss of nocturnal decline of BP were observed in hypertensive patients with left ventricular hypertrophy (LVH). The patients with only a slight or no loss of nocturnal decline of BP were considered "non-dippers". Regression of LVH was observed after prolonged antihypertensive therapy. Restoration of the circadian rhythm of BP was also observed. However, the classification of patients into "dippers" and "non-dippers" is arbitrary and poorly standardized and repeatable, and in the recent studies, most hypertensive patients with LVH were "dippers". Therefore, we should be particularly cautious about the conclusions drawn using this index. On the other hand, reduced activity of low-pressure cardiopulmonary baroreceptors and impaired day-to-night modulation of autonomic nervous system activity were observed in patients with only LVH. Therefore, alterations in cardiac structure may impair BP modulation. On the other hand, the reverse can also be trueprimary alterations in BP modulation, through a persistently elevated afterload, can increase cardiac mass. Thus, the interrelationship between cardiac structure and BP modulation is complex. Hence, new and more specific methods of evaluating circadian changes in BP are needed to better clarify the abovementioned reciprocal influences.

• Journal of Chest Surgery
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• v.26 no.2
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• pp.129-134
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• 1993

We compared postoperative results according to the different surgical approach in 180 cases of isolated ventricular septal defects operated at the department of Thoracic and Cardiovascular Surgery in Kyungpook University Hospital from January 1987 to December 1991. Of the 180 cases, 109 were males and 71 females, age ranging from 6 months to 15 years (mean: 5.6 years) and body weight ranging from 6 to 52㎏(mean : 20㎏). According to Soto's classification, perimembranous types were comprised of 119 cases (66％), doubly committed subarterial type 49 cases(27％), and muscular type 12 cases(7％). Patients were divided into three groups according to the incision methods: right atriotomy group (39％), right ventriculotomy group (47％), and pulmonary arteriotomy group (14％). The mean aortic cross clamp time was shorter in right atriotomy group (39 min.) than right ventriculotomy group (79min.) in the cases of large perimembranous VSD (P＜0.001). Spontanous recovery rate of cardiac rhythm after VSD closure was higher in right atriotomy group (51％) than right ventriculotomy group (32％) in the cases of perimembranous VSD (P＜0.05). The incidence of postoperative RBBB was 17.6％ with no statistical differences between right atriotomy group(17.9％) and right ventriculotomy group(19.2％). Overall mortality rate was 5.6％(10 cases) with no significant differences according to surgical approach.