• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2757-2760
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• 2003

본 논문에서는 심장 돌연사(sudden cardiac death, SCD)의 주된 원인인 세동(fibrillation)을 낮은 에너지에서 효율적으로 제거할 수 있는 biphasic 자동형 제세동기를 개발하였다. 개발한 제세동기는 고전압 충 방전부와 신호처리부를 포함하는 하드웨어와 세동검출 알고리즘과 시스템 제어 알고리즘의 소프트웨어로 구성하였다. 개발한 시스템의 안정성과 효용성을 검증하기 위하여, 실험실 환경에서 160 번의 연속적인 충 방전 테스트를 통하여 시스템의 안정성을 확인하였으며, ECG simulator 에서 발생되는 6 종의 세동신호를 적용하여 100％의 실시간 검출능력을 확인하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.111-116
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• 2022

In the paper, A prototype Fetal Heart Monitor, mini - size, was designed and produced for pre-mothers to measure the rate and rhythm of their features's heart at home.Pre-mothers could listen fetal heart rhythm through an inner bluetooth speaker ant the monitor. LED colors show the frequency of fetal heart rate variability on the monitor. All measured health information, by ultrasonic resonator and bluetooth speaker, is linked to a mother's smart phone. A test verified this simple measuring device helps users discover the symptoms of fetal health. Patients using at home devices usefully prevent sudden cardiac death and myocardial infraction by discovering symptoms.

• Annual Conference of KIPS
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• 2012.04a
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• pp.896-899
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• 2012

일반적으로 출생 후 1세 전후의 영유아들은 신체의 발달이 온전치 않아 수면중 질식사하는 영유아 돌연사증후군(SIDS)에 이를 수 있어, 보호자의 세심한 관심이 필요하다. 더욱이 보호자가 있더라도 오히려 더 높은 질식에 의한 사망률이 늘어나고 있다. 이를 위해서, 본 논문에서는 수면시 발생할 수 있는 질식사 방지를 위한 하드웨어 장치와 이와 연계된 스마트폰 앱(App) 시스템을 설계하고 구현한다. 제안된 시스템으로써 하드웨어 장치는 초음파 거리 센서(sonsor)를 이용하여 실시간으로 뒤집힘 여부의 정보를 수집하여 무선 통신을 통해 스마트폰 앱(App)에 전달한다. 또한 스마트폰 앱 시스템은 수집된 정보를 분석 판단하여, 비정상적인 상태의 영유아에 대해 긴급 경보와 긴급 전화를 자동 호출한다. 따라서 여러 위험에 노출되어 있는 영유아들의 수면중에 뒤척이다 엎드려 자는 경우, 호흡기를 막거나 가슴압박으로 인한 질식사를 미연에 방지한다. 향후, 본 논문에서 제안된 시스템은 졸음방지나 낙상방지시스템 같은 유비쿼터스 헬스케어(ubiquitous healthcare) 환경 구현에도 적용될 수 있다.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.13 no.2
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• pp.75-80
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• 2013

Specific genetic conditions may lead to sudden unexpected deaths in infancy, such as inborn errors of fatty acid oxidation and genetic disorders of cardiac ion channels. The disease may present dramatically with severe hypoketotic hypoglycemia, Reye syndrome or sudden death, typically with a peak of frequency around 3-6 month, whilst neonatal sudden death is quite rare. When undetected, approximately 20-25% of infants will die or suffer permanent neurologic impairment as a consequence of the first acute metabolic decompensation. Meanwhile, the advent of newborn screening for metabolic diseases has revealed populations of patients with disorders of fatty acid oxidation (FAO), the most frequent of which is medium chain acyl-CoA dehydrogenase (MCAD) deficiency. Without this screening, affected individuals would likely succumb to sudden infant death syndrome (SIDS). Here we describe an overview of sudden infant death syndrome and inherited metabolic disorder.

• Journal of Chest Surgery
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• v.31 no.3
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• pp.304-307
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• 1998

Aneurysm of the sinus of Valsalva on mostly congenital disease that develops more frequently in Orientals, is very low in incidence. In most cases, aneurysm of the sinus of Valsalva extends to intracardiac and results in ruptures into the right ventricle or atrium. The likelihood of extracardiac aneurysm of the sinus of Valsalva is very low. Cases of extracardiac aneurysm are usually accompanied by aortic regurgitation and can cause right ventricle outflow tract obstruction, myocardial ischemia, and myocardial infarction due to compression by aneurysm. Since the aneurysm can rupture in the intrapericardium and cause cardiogenic shock or sudden death, definite diagnosis and management are important. If confirmed, it is preferable operform a surgical correction. We report here, with a literature review, a case where myocardial ischemia and aortic egurgitation caused by aneurysm developed in the left coronary and noncoronary sinus, and were surgically corrected with satisfactory esults.

• Journal of Biomedical Engineering Research
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• v.36 no.2
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• pp.48-53
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• 2015

Sudden infant death syndrome(SIDS) continues to be general cause of infant death. Also, apnea is supposed to be one of the main risk factor of SIDS. Therefore, Infant's respiratory monitoring and real-time apnea detection is very important to prevent SIDS. In this study, we proposed a non-contact home monitoring system for infant's respiration using Doppler radar in order to prevent SIDS. The respiration data were acquired from a commercialized baby simulator(Simbaby$^{TM}$) using a Doppler radar. To evaluate a performance of the proposed system, the simulator was placed in a supine and prone position and the chest belt was used simultaneously as a reference signal. As a result, correlation coefficients between respiration rates of Doppler radar and the chest belt in each position were 0.95(p < 0.001) and 0.98(p < 0.001), respectively. The averages of difference were $-0.29{\pm}5.21(mean{\pm}1.96{\cdot}$ standard deviation) in supine and $-0.12{\pm}3.05$ in prone from Bland-Altman analysis. The results indicated an excellent performance in detecting apnea with a sensitivity of 100% and a positive predictive value of 100% in each posture respectively. These results demonstrated that a proposed Doppler radar system is suitable for non-contact respiratory monitoring in order to prevent SIDS of infant.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.131-135
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• 2018

The heart disease taking the second place of the cause of the death of modern people is a terrible disease that makes sudden death without noticing. To judge the aortic valve disease of heart diseases a name of disease was diagnosed using psychological data provided from physioNet. Aortic valve is a valve of the area that blood is spilled from left ventricle to aorta. Aortic stenosis of heart troubles is a disease when the valve does not open appropriately in contracting the left ventricle to aorta due to narrowed aortic valve. In this paper, 3126 samples of cardiac sound data were used as an experiment data composed of 180 characteristics including normal people and aortic valve stenosis patients. To diagnose normal and aortic valve stenosis patients, NEWFM was utilized. By using an average method of weight as an feature selection method of NEWFM, the result shows 91.0871% accuracy.

• Analytical Science and Technology
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• v.8 no.2
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• pp.117-124
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• 1995

To Purify hemoproteins showing from 218nm absorbance, crude liver extract of human with hepatocirrhosis was treated with Triton N-101. Hemoproteins were purified by modification of Mohamed's method. This crude extract was applied to Octyl-Sepharose CL-4B column and the step elution was performed with 0.06% Lubrol PX and 0.25% Lubrol PX. The absorption of effluents were examined at 418nm and two peaks were appeared(Fig. 2). Hemoproteins were purified from Hyydroxyapatite and DEAE-Sephadex A-25 columns which the first peak was applied to(Fig. 3, 4). In death with suddenly, purified hemoproteins with 62 and 45kDa were obtained from 12.5% SDS-PAGE. In death with hepatocirrhosis, purified hemoprotein with 54kDa was obtainded from 12.5% SDS-PAGE(Fig. 5). Cytochrome P450 was purified to a specific content of 20.8nmol/mg protein with a recovery of about 4.1%. Absorbance maximum of these hemoproteins were 446nm at UV spectruum(Fig. 6).

• Journal of Chest Surgery
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• v.41 no.1
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• pp.98-101
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• 2008

Once it is diagnosed, immediate surgical extirpation is desirable for treating left ventricle myxoma that's accompanied with stenosis of the left ventricle outflow tract. This is because this condition may potentially induce fatal complications such as cerebral infarction or myocardial infarction that's triggered by myxoma embolus, or even sudden death due to coronary malperfusion. An 18-year-old male with the chief complaint of NYHA class II exertional dyspnea was found to have a $4{\times}3\;cm^2$ sized mass on transthoracic ultrasonography, which was shown to move down the left ventricle outflow tract on the systolic phase. The mass was immediately extirpated by incision of the left ventricle; the mass was finally diagnosed as a myxoma. The patient was discharged on at the 10th day postoperatively without any complications. On the 22-month follow-up observation made at the out-patient clinic after discharge, there have been no noticeable, significant changes seen on physical examination or the cardiac ultrasonography.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.151-155
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• 2019

Recently heart attack is 80% of the sudden death of elderly. The causes of a heart attack are complex and sudden, and it is difficult to predict the onset even if prevention or medical examination is performed. Therefore, early diagnosis and proper treatment are the most important. In this paper, we show the accuracy of normal and abnormal classification with neural network using weighted fuzzy function for accurate and rapid diagnosis of myocardial infarction. The data used in the experiment was data from the UCI Machine Learning Repository, which consists of 14 features and 303 sample data. The algorithm for feature selection uses the average of weight method. Two features were selected and removed. Heart attack was classified into normal and abnormal(1-normal, 2-abnormal) using the average of weight method. The test result for the diagnosis of heart attack using a weighted fuzzy neural network showed 87.66% accuracy.