• The Journal of the Acoustical Society of Korea
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• v.28 no.2E
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• pp.72-78
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• 2009

Heart sound segmentation into its components, S1, systole, S2 and diastole is the first step of analysis and the most important part in the automatic diagnosis of heart sounds. Conventionally, the Shannon energy envelope peak detection method has been popularly used due to its superior performance in locating S1 and S2. Recently, the HMM has been shown to be quite suitable in modeling the heart sound signal and its use in segmenting the heart sound signal has been suggested with some success. In this paper, we compared the two methods for heart sound segmentation using a common database. Experimental tests carried out on the 4 different types of heart sound signals showed that the segmentation accuracy relative to the manual segmentation was 97.4% in the HMM based method which was larger than 91.5% in the peak detection method.

• The Korean journal of internal medicine
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• v.34 no.1
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• pp.11-43
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• 2019

Heart failure (HF) is an important cardiovascular disease because of its increasing prevalence, significant morbidity, high mortality, and rapidly expanding health care cost. The number of HF patients is increasing worldwide, and Korea is no exception. There have been marked advances in definition, diagnostic modalities, and treatment of HF over the past four decades. There is continuing effort to improve risk stratification of HF using biomarkers, imaging and genetic testing. Newly developed medications and devices for HF have been widely adopted in clinical practice. Furthermore, definitive treatment for end-stage heart failure including left ventricular assist device and heart transplantation are rapidly evolving as well. This review summarizes the current state-of-the-art management for HF and the emerging diagnostic and therapeutic modalities to improve the outcome of HF patients.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.191-198
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• 2020

In this study, we proposed a real-time ECG analytical method for predicting stress and dangerous heart condition using the ECG signal in playing AR/VR device. A real-time diagnosis is used as R-R interval based HRV(:Heart rate variability), BPM(:Beats Per Minitue) and autonomic nervous research with through mapping method of two-dimensional planes. The ECG data were analyzed every 5 minutes and derived from autonomic nervous system diagnosis.

• Journal of Chest Surgery
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• v.11 no.2
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• pp.194-198
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• 1978

Congenital aortic stenosis, a relatively uncommon congenital heart disease, may cause heart failure and may be fatal. In recent years, increased clinical awareness and improved diagnostic and operative technique has made accurate diagnosis and successful treatment possible. Recently we experienced 2 cases of congenital aortic stenosis, and which was corrected surgically. The first case was 9 years old boy, and second case was 16 years male. Preoperative diagnosis was entertained by angiography and cardiac catheterization in both cases. In each case, aortic valve opening was widened by incision along the fused commissure between the combined left and right coronary cusp on one side, and the noncoronary cusp on the other side. Post-op. pressure gradient between the aorta and left ventricle markedly reduced, in the first case, 50mmHg, and in the 2nd case, 55mmHg.Both patients discharged with good results 2 weeks after open heart surgery.

• Clinical and Experimental Pediatrics
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• v.60 no.11
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• pp.344-352
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• 2017

Arrhythmias in the neonatal period are not uncommon, and may occur in neonates with a normal heart or in those with structural heart disease. Neonatal arrhythmias are classified as either benign or nonbenign. Benign arrhythmias include sinus arrhythmia, premature atrial contraction, premature ventricular contraction, and junctional rhythm; these arrhythmias have no clinical significance and do not need therapy. Supraventricular tachycardia, ventricular tachycardia, atrioventricular conduction abnormalities, and genetic arrhythmia such as congenital long-QT syndrome are classified as nonbenign arrhythmias. Although most neonatal arrhythmias are asymptomatic and rarely life-threatening, the prognosis depends on the early recognition and proper management of the condition in some serious cases. Precise diagnosis with risk stratification of patients with nonbenign neonatal arrhythmia is needed to reduce morbidity and mortality. In this article, I review the current understanding of the common clinical presentation, etiology, natural history, and management of neonatal arrhythmias in the absence of an underlying congenital heart disease.

• Journal of Korean Foot and Ankle Society
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• v.20 no.3
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• pp.100-105
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• 2016

Syndesmotic injury can either be isolated or associated with bony or ligamentous ankle injury. When it is not associated with an ankle fracture, it may not be easy to diagnose, especially when there is no franck diastasis on a plain radiograph. Without proper treatment, syndesmotic injury can lead to chronic pain due to impingement of scar tissues and instability. It may further lead to ankle arthritis. Early diagnosis with appropriate management is a prerequisite to avoid these problems. Herein, we review and discuss the mechanism of injury, classification, diagnosis, and treatment of isolated syndesmotic injury.

• Proceedings of the KOSOMBE Conference
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• v.1989 no.05
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• pp.23-26
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• 1989

This paper describes the automatic recognition technique for heart enlargement diagnosis with the chest X-ray films enhanced by digital image processing. The technique measures a maximum transverse of the daiphragm and a maximum transverse of the heart by means of direction signature algorithms, then calculates the desired ratio of these two measured values. This is often refered to a cadiothoracic ratio which gives as useful clue for heart enlargement symptom. The experiment results in this paper show presented method is more efficient than the manual diagnosis method of the symptom.

• Journal of Veterinary Clinics
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• v.18 no.3
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• pp.273-278
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• 2001

Chronic mitral valvular insufficiency (CMVI) is the most common heart disease in dogs. The prevalence of CMVI is age-dependent. CMVI is usually affected to small to medium size breeds. It is more prevalent in males than females. The characteristic lesions of CMVI are caused by an acquired chronic structural degeneration of the mitral valve defined as endocardiosis or myxomatous degeneration. The main clinical signs are cough, respiratory distress, weakness and pleural effusion and ascites by secondary right-sided heart failure. The most prominent clinical finding is a systolic heart murmur. The thoracic radiography and echocardiography are useful methods in diagnosis of CMVI. Thoracic radiographic findings are left atrial enlargement, left main stem bronchial compression and pulmonary edema. Echocardiography is confirmed to increased left atrial and ventricular dimension, mitral regurgitation, mitral valve thickening and abnormal movement. Thoracic radiography and echocardiography are used to obtain a definite diagnosis of CMVI, and then to study the progression of the condition.

• Journal of Yeungnam Medical Science
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• v.38 no.2
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• pp.95-106
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• 2021

Infections involving the heart are becoming increasingly common, and a timely diagnosis of utmost importance, despite its challenges. F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) is a recently introduced diagnostic tool in cardiology. This review focuses on the current evidence for the use of FDG PET/CT in the diagnosis of infective endocarditis, cardiac implantable device infection, left ventricular assist device infection, and secondary complications. The author discusses considerations when using FDG PET/CT in routine clinical practice, patient preparation for reducing physiologic myocardial uptake, acquisition of images, and interpretation of PET/CT findings. This review also functions to highlight the need for a standardized acquisition protocol.

• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.130-138
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• 2023

The selection of the correct examination variables for diagnosing heart disease provides many benefits, including faster diagnosis and lower cost of examination. The selection of inspection variables can be performed by referring to the data of previous examination results so that future investigations can be carried out by referring to these selected variables. This paper proposes a model for selecting examination variables using an Artificial Bee Swarm Optimization method by considering the variables of accuracy and cost of inspection. The proposed feature selection model was evaluated using the performance parameters of accuracy, area under curve (AUC), number of variables, and inspection cost. The test results show that the proposed model can produce 24 examination variables and provide 95.16% accuracy and 97.61% AUC. These results indicate a significant decrease in the number of inspection variables and inspection costs while maintaining performance in the excellent category.