• The Korean Nurse
• /
• v.25 no.4 s.137
• /
• pp.22-26
• /
• 1986

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

• Investigative Magnetic Resonance Imaging
• /
• v.18 no.3
• /
• pp.244-252
• /
• 2014

Purpose : We proposed a multi-physiological signals based real-time intelligent triggering system(MITS) for Cardiac MRI. Induced noise of the system was analyzed. Materials and Methods: MITS makes cardiac MR imaging sequence synchronize to the cardiac motion using ECG, respiratory signal and second order derivative of $SPO_2$signal. Abnormal peaks due to arrhythmia or subject's motion are rejected using the average R-R intervals and R-peak values. Induced eddy currents by gradients switching in cardiac MR imaging are analyzed. The induced eddy currents were removed by hardware and software filters. Results: Cardiac MR images that synchronized to the cardiac and respiratory motion are acquired using MITS successfully without artifacts caused by induced eddy currents of gradient switching or subject's motion or arrhythmia. We showed that the second order derivative of the $SPO_2$ signal can be used as a complement to the ECG signals. Conclusion: The proposed system performs cardiac and respiratory gating with multi-physiological signals in real time. During the cardiac gating, induced noise caused by eddy currents is removed. False triggers due to subject's motion or arrhythmia are rejected. The cardiac MR imaging with free breathing is obtained using MITS.

• The Korean Journal of Applied Statistics
• /
• v.32 no.5
• /
• pp.671-681
• /
• 2019

Studies on predicting arrhythmia using machine learning have been actively conducted with increasing number of arrhythmia patients. Existing studies have predicted arrhythmia based on multivariate data of feature variables extracted from RR interval data at a specific time point. In this study, we consider that the pattern of the heart state changes with time can be important information for the arrhythmia prediction. Therefore, we investigate the usefulness of predicting the arrhythmia with multivariate time series data obtained by extracting and accumulating the multivariate vectors of the feature variables at various time points. When considering 1-nearest neighbor classification method and its ensemble for comparison, it is confirmed that the multivariate time series data based method can have better classification performance than the multivariate data based method if we select an appropriate time series distance function.

• Proceedings of the KTCVS Conference
• /
• 1995.10a
• /
• pp.12-12
• /
• 1995

• Journal of Chest Surgery
• /
• v.38 no.6 s.251
• /
• pp.438-440
• /
• 2005

The incidence of primary cardiac tumor is rare, furthermore the cardiac tumor which cause arrhythmia is very rare. We presesent a case of cardiac lipoma combined with paroxysmal atrial tachycardia.

• Journal of Chest Surgery
• /
• v.40 no.3 s.272
• /
• pp.220-224
• /
• 2007

Extracorporeal membrane oxygenation (ECMO) provides mechanical cardiopulmonary support and has been used for children with severe respiratory failure, intractable heart failure, sepsis, pulmonary hypertension, and as a bridge to heart transplantation. There have been few reports of the use of ECMO to provide cardiac support in children with low cardiac output as a result of arrhythmias. We report the case of a 15-year-old female with circulatory collapse due to refractory ventricular arrhythmia after one and a half repair in Ebstein's anomaly, who was successfully resuscitated using ECMO.

• Journal of Yeungnam Medical Science
• /
• v.17 no.1
• /
• pp.49-54
• /
• 2000

Background: Echocardiography is rapidly establishing itself as the primary diagnostic technique for investigation of children with heart diseases, and referrals are increasing to the pediatric cardiology clinic for investigation. However, because there is a lack of analyzed data on the patients referred to the pediatric cardiology clinics, we have proceeded to compare and analyze their characteristics to provide basic data base. Methods: From Oct. 1, 1998 to Jul. 10, 1999, total 443 cases referred to the pediatric cardiology clinic of Yeungnam University Hospital were studied retrospectively by medical records, chest X-ray, EKG and echocardiography, etc. Results: The results were as follows. 1. The proportion of male was 61.0%(261 cases) and that of female was 39.0%(67 cases). The ratio of male to female was 1.6:1. The proportion infants less than 1 year-old was 62.6% (26R cases) of all patients. 2. Cardiac murmur was present in 248 cases(57.9%), which was the most common case of referral ed to the pediatric cardiology clinic. The impression at referral was more congenital heart disease(70.6%) than acquired heart disease(17.8%) and arrhythmia01.6%). 3. The final diagnosis was as follows : congenital heart disease was present in 212 cases(49.5%), acquired heart disease, 59 cases(13.9%); arrhythmia. 13 cases(3.0%); normal heart. 144 cases(33.6%). Conclusion: Among the patients referred to pediatric cardiology clinic, 33.6%(144 cases) had normal hearts and why these patients were referred may be possibly due to more dependence on echocardiography than on auscultation instruction. Therefore, clinical and auscultatory skill should be emphasized to minimize dependence on expensive echocardiography for evaluation of pediatric heart disease.

• Journal of Chest Surgery
• /
• v.40 no.12
• /
• pp.811-816
• /
• 2007

Background: We analyzed our experience of arrhythmia surgery in patients with congenital heart disease. Material and Method: A retrospective review was performed on 43 consecutive patients with congenital heart disease, who underwent arrhythmia surgery between June 1998 and June 2006. Result: The median age at surgery was 52 years ($4{\sim}75$ years). The most frequent cardiac anomaly was an atrial septal defect (23/43, 53.5%). The types of arrhythmias were atrial flutter-fibrillation, intermittent non-sustainable ventricular tachycardia and others in 37, 2 and 4, respectively. Arrhythmia surgery consisted of a bi-atrial maze operation in 18 patients (modified cox maze III procedure in 5 patients, and a right side maze plus pulmonary vein cryo-isolation in 13), right side maze operation in 18 patients, cavo-tricuspid isthmus cryoablation for benign atrial flutter in 4 patients, right ventricular endocardial cryoablation in 2 patients and extranodal cryoablation for atrioventricular node re-entry tachycardia in 1 patient. The median follow-up was 23.8 months ($1{\sim}95.2$ months). There was no early mortality, and one late non-cardiac related death. The overall rates of restored sinus rhythm before discharge and $3{\sim}6$ months after surgery were 79% and 81%, respectively (bi-atrial maze group: 72% and 83%, right-side maze group: 77%, 77%). Conclusion: Arrhythmias associated with congenital heart disease can be safely treated surgically with an excellent intermediate-term outcome.

• Proceeding of EDISON Challenge
• /
• 2017.03a
• /
• pp.662-664
• /
• 2017

심실 내부에 가해지는 수축력에 의해 심실 내부 벽에는 큰 무리가 될 수 있다. 이로 인해 다양한 심장질환인 부정맥, 심실 세동 등을 유발한다. 따라서 본 연구에서는 가상 심장모델을 구축하여 컴퓨터 시뮬레이션을 통한 수축이완시의 심장 상태를 살펴보고자 하였다. 이를 위해서 개 심장 모델을 활용하여 3차원으로 이뤄진 심장모델을 구현하였다. 심장모델의 전기생리학 기전에 기초한 전기전도 해석을 수행하고, 전기전도 해석 시 발생되는 칼슘이온의 농도변화를 활용하였다. 시간에 따른 칼슘 이온의 심장 수축 영향을 바탕으로 비선형 유한요소법을 이용, 3차원 심장의 수축역학을 해석하였다. 이러한 기전으로 심장 근육에 부하되는 응력(tension)를 계산하고, 이렇게 계산된 심근의 응력분포에 대해 관측 및 분석을 진행하였다.