• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2B
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• pp.191-196
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• 2010

To increase heart disease by smoking, diabetes, obesity, stress, etc. is caused by death rate so heart disease has proposed early diagnosis necessity in modem society. Especially, incidence is on the increase rapidly because of ignorance and indifference of people about heart disease. Therefore to solve a social phenomenon about heart disease, this paper would like to design objective output parameter necessary early diagnosis of heart disease based on diagnosis theory about heart condition in the proposed Donguibogam. Specially to prove inaccurate pronunciation by heart disease would like to perform comparison, analysis of experimental group to extract vibration change rate of the vocal cords. This paper is comprised of heart disease patient and healthy people group in adult man speak to standard language then I'd like to propose early diagnosis about heart disease through comparison, analysis of vibration change rate of the vocal cords by acquisition of these voice.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1045-1048
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• 2000

This paper presents the application of the wavelet transform analysis and the neural network method to the phonocardiogram (PCG) signal. Heart sound is a acoustic signal generated by cardiac valves, myocardium and blood flow and is a very complex and nonstationary signal composed of many source. Heart sound can be discriminated normal heart sound and heart murmur. Murmurs have broader frequency bandwidth than the normal ones and can occur at random position of cardiac cycle. In this paper, we classified the group of heart sound as normal heart sound(NO), pre-systolic murmur(PS), early systolic murmur(ES), late systolic murmur(LS), early diastolic murmur(ED). And we used the wavelet transform to shorten artifacts and strengthen the low level signal. The ANN system was trained and tested with the back- propagation algorithm from a large data set of examples-normal and abnormal signals classified by expert. The best ANN configuration occurred with 15 hidden layer neurons. We can get the accuracy of 85.6% by using the proposed algorithm.

• BMB Reports
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• v.43 no.5
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• pp.355-362
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• 2010

The sterile alpha motif (SAM) is a putative protein interaction domain involved in a wide variety of biological processes. Here we report the identification and characterization of a novel gene, SAMD4B, which encodes a putative protein of 694 amino acids with a SAM domain. Northern blot and RT-PCR analysis showed that SAMD4B is widely expressed in human embryonic and adult tissues. Transcriptional activity assays show SAMD4B suppresses transcriptional activity of L8G5-luciferase. Over-expression of SAMD4B in mammalian cells inhibited the transcriptional activities of activator protein-1 (AP-1), p53 and p21, and the inhibitory effects can be relieved by siRNA. Deletion analysis indicates that the SAM domain is the main region for transcriptional suppression. The results suggest that SAMD4B is a widely expressed gene involved in AP-1-, p53- and p21-mediated transcriptional signaling activity.

• BMB Reports
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• v.45 no.3
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• pp.153-158
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• 2012

Geft is a guanine nucleotide exchange factor, which can specifically activate Rho family of small GTPase by catalyzing the exchange of bound GDP for GTP. Geft is highly expressed in the excitable tissue as heart and skeletal muscle and plays important roles in many cellular processes, such as cell proliferation, migration, and cell fate decision. However, the in vivo role of Geft remains unknown. Here, we generated a Geft conditional knockout mouse by flanking exons 5-17 of Geft with loxP sites. Cre-mediated deletion of the Geft gene in heart using Mef2c-Cre transgenic mice resulted in a dramatic decrease of Geft expression. Geft knockout mice develop normally and exhibit no discernable phenotype, suggesting Geft is dispensable for the development of the second heart field in mouse. The Geft conditional knockout mouse will be a valuable genetic tool for uncovering the in vivo roles of Geft during development and in adult homeostasis.

• Journal of Chest Surgery
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• v.20 no.3
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• pp.458-472
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• 1987

A heart supplies bloods of about 15, 000 liters to each human organ in a day. A normal function of heart valves is necessary to this act of heart. The disease of heart valve develops to a narrowness of a closure, resulting in an abnormal circulation of bloods. In an attempt to eliminate the affliction of heart valves, the operation method to repair with artificial heart valves has been developed and saved numerous patients over past 30 years. This replacement operation has been performed since early 1960`s in Korea, but all the artificial heart valves used are imported from abroad with very high costs until recent years. The artificial heart valve using pyrolytic carbon has been developed at KAIST, which was proved to be stable in the mechanical performance and durability. Therefore, the in viva performance of this valve was examined through animal tests. The artificial heart valves used in this study are tilting disc type valves, in which the disc were made of graphite coated with pyrolytic carbon and the cages were made of titanium. In viva testings of these valves were performed in 12 dogs, in which right ventriculo-pulmonary arterial [Croup I] or inter-aortic [Croup IV] valved conduit was implanted using polytetrafluoroethylene conduits containing KAIST valve and aortic valve [Group II] or pulmonary valve [Croup III] was replaced by a KAIST valve with a 21mm or 19mm tissue annulus diameter. In group I and II, pre-and post-operative transvalvular pressure gradient was measured and compared with other prosthetic valves. During post operative period laboratory examination was performed including hemoglobin, hematocrit, red cell count, white cell, lactic acid dehydrogenase and platelet. The eight surviving dogs were sacrificed and autopsy was performed at 2, 6, and 8 weeks. KAIST valve has low transvalvular gradient and relatively high orifice area. Average ventriculo-aortic peak systolic transvalvular gradient was 14 mmHg in 21 mm valve and 19 mmHg in 19 mm valve. The valve has slight intravascular hemolysis effect. Thrombogenic effect of low polishing quality and eddy currents around small orifice is high. The valve has vulnerability of disc movement. These animal tests suggest that the improvement of the heart valve design, surface polishing state and prescription methods.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.641-642
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• 2006

The purpose of this work is to investigate the effect of work load on heart rate variability (HRV) which is widely used marker of the autonomic nervous system activity. Average heart rate, rating of perceived exertion, and the power spectrum of heart rate variability were investigated in seven healthy males during exercise at various work loads. The subjects were divided into two groups according to the average heart rate during exercise, group 1 with lower heart rate and group 2 with higher heart rate. HF component showed decrease followed by increase with workload. Accordingly, the LF/HF ratio showed increase followed by decrease with workload. The peak in LF/HF ratio of group 1 was at the lower workload than that of group 2.

• Journal of Chest Surgery
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• v.20 no.3
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• pp.498-505
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• 1987

From June 1984 to Aug. 1986, 90 cases of open heart surgery were performed at the department of cardiothoracic surgery of Kosin Medical College. There were 63 cases of congenital cardiac anomalies and 27 cases of acquired heart diseases. The sex ratio of congenital and acquired heart diseases were represented as 1.4:1 and 1:1.5 respectively. The age distribution was ranged from 7/12 to 56 years old. Among the 63 congenital cardiac anomalies, 49 cases of acyanotic group and 14 cases of cyanotic group were noted. In 49 cases of acyanotic group, 32 VSD, 15 ASD, 1 PS, and 1 RCA-LV fistula were noticed. In 14 cases of cyanotic group, 7 TOF, 1 TOF (Dextrosardia) combined with IVC interruption, 1 Triology of Fallot, 2 Pentalogy of Fallot. 1 DORV, 1 TA with PDA, VSD, ASD and Left SVC and 1 TAPVC were included. Of the 27 acquired heart diseases, 13 mitral, 3 aortic , 6 bival, 3 triplevalvular diseases and 2 LA myxomas were noted. Overall mortality were 11 cases, which included 2 cases of acyanotic heart diseases, 6 cases of cyanotic heart diseases and 3 cases of acquired hear diseases.

• Journal of Chest Surgery
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• v.17 no.3
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• pp.389-397
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• 1984

Sixty cases of open heart surgery were performed in the Department of Thoracic and Cardiovascular Surgery of Chonbuk National University Hospital from July, 1983 to June, 1984. The patients were consisted of 40 [66%] congenital anomalies containing 26 [43%] patients of acyanotic group and 4 [23%] of cyanotic group, and 20 [34%] acquired heart diseases which involved one or more cardiac valves. The male patients were 42 and the female 18. In 20 valvular heart diseases, open mitral commissurotomy was done in 5 patients, mitral valvular replacement with tissue valve in 6, mitral valvular replacement with mechanical valve in 5, mitral valvular replacement with tricuspid annuloplasty in 2, mitral annuloplasty in 1, and mitral and aortic valvular replacements with mechanical valves in 1. The most frequency complication was low cardiac output syndrome occurred in 9, and the next was urethral stenosis, ARDS, and postoperative bleeding, etc. The perioperative mortality was 21% in congenital cyanotic heart disease, 12% in congenital acyanotic heart disease, and 5% in acquired heart disease.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.77-88
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• 2021

Heart Failure represents a critical pathological case that is challenging to predict and discover at an early age, with a notable increase in morbidity and mortality. Machine Learning and Neural Network techniques play a crucial role in predicting heart attacks, diseases and more. These techniques give valuable perspectives for clinicians who may then adjust their diagnosis for each individual patient. This paper evaluated neural network models for heart attacks predictions. Several online learning methods were investigated to automatically and accurately predict heart attacks. The UCI dataset was used in this work to train and evaluate First Order and Second Order Online Learning methods; namely Backpropagation, Delta bar Delta, Levenberg Marquardt and QuickProp learning methods. An optimizer technique was also used to minimize the random noise in the database. A regularization concept was employed to further improve the generalization of the model. Results show that a three layers' NN model with a Backpropagation algorithm and Nadam optimizer achieved a promising accuracy for the heart attach prediction tasks.

• Journal of Sensor Science and Technology
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• v.20 no.2
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• pp.118-123
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• 2011

Heart related diseases mainly caused by heavy work load and increasing stress in human daily life. Therefore, researches on mobile healthcare monitoring for daily life has been carried out. Notably, wearable healthcare monitoring system which has least restriction has been tried to provide an emergency alert of abnormal heart rate. In this study, we developed chair type unconstrained BCG measurement system which able to perform continuous heart status monitoring at the office and daily life in the unconstrained way. Furthermore, adaptive threshold is used to detect the heart rate from BCG signals. The HRV(heart rate variability) is calculated from heart rate interval. ECG signal measured using conventional method and BCG signal measured using unconstraint system are carried out simultaneously for the purpose of performance evaluation. From the comparison result, BCG signal shows a similar heart beat characteristic as ECG signal. This proves the possibility of practical implementation of unconstraint healthcare monitoring system. In addition, medical examination like valsalva maneuver is performed to observe the changes in HRV due to stress. By performing valsalva maneuver, heart is said to be placed under an artificial physical stress condition. Under this artificial physical stress condition, the time and frequency domain of HRV parameters are evaluated.