• Information and Communications Magazine
• /
• v.30 no.10
• /
• pp.70-78
• /
• 2013

최근 고령화 사회로 진입함에 따라 건강 상태 상시 모니터링에 대한 관심이 높아졌으며, 이에 편승하여 부정맥을 탐지하는 기법에 대한 연구도 활발히 진행되고 있다. 원격심전도 모니터링을 통해 병원 방문 없이도 진료 및 진단이 가능해 질 것으로 예측된다. 이러한 원격심전도 모니터링은 사이버물리시스템의 대표적인 응용사례에 해당된다. 본 고를 통해 우리는 원격심전도 모니터링 응용 사례를 물리시스템과 사이버시스템의 상호작용 관점에서 살펴보고, 이를 통하여 효율적인 시스템 설계 방안에 대하여 논한다.

• Proceedings of the KIEE Conference
• /
• 2008.04a
• /
• pp.127-128
• /
• 2008

현대인의 생활 습관 및 고령화 사회의 도래에 따라 심장질환자의 수는 기하급수적으로 늘어가고 있으며 특히 정맥 환자는 그 중에서 가장 큰 분포를 차지하고 있다. 따라서 심장질환의 검출 및 치료를 위한 기기의 개발 및 발전이 시급하다고 볼 수 있다. 그 중 본 고에서는 인체 이식형/삽입형 Pacemaker인 ICD(Implantable Cardioverter Defibrillator)의 알고리즘을 소개하고자 한다. 본 고의 전체적인 구조는 ICD 기술의 필요성을 제시하고 본론에서는 부정맥(Arrhythmia) 소개 및 구현 대상, ICD 알고리즘 관련 국내외 현황, 빈맥의 검출 및 치료, 서맥의 검출 및 치료, 시뮬레이터 구현의 내용을 담았다 또한 알고리즘의 모듈 단위 구성도와 시뮬레이터(Simulator) UI(User Interface)를 제시하였다.

• Journal of Chest Surgery
• /
• v.36 no.4
• /
• pp.277-279
• /
• 2003

A 15 year-old boy was referred to us because of mild dyspnea on exertion and incidentally found heart murmur. On echocardiography, a mass involving mainly interventricular septum and causing left ventricular outflow tract obstruction was detected. Cardiac catheterization demonstrated a transaortic pressure gradient of 20 mmHg. Partial excision of the septal mass was performed via aortotomy under cardiopulmonary bypass. The pathologic diagnosis revealed myocardial hamartoma. The lesion was mainly composed of mature, severely hypertrophic myocytes and intervening fibrosis. During the 5 year of follow-up after the surgery, no evidence of arrhythmia or tumor recurrence was documented.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.01a
• /
• pp.393-394
• /
• 2014

폐쇄성 수면 무호흡증으로 인한 수면 중 잦은 각성은 수면의 질을 떨어뜨릴 뿐 아니라 졸음, 피로, 집중력 저하와 같은 주간 증상을 유발하게 되어 삶의 질을 떨어뜨리고 고혈압이나 부정맥 등과 같은 심각한 심폐질환 을 유발할 수 있다. 그러나 코골이와 달리 수면 무호흡증은 본인이나 타인에 의한 정확한 관측이나 진단이 어려워 전문병원에 입원하여 수면다원검사를 통하여 진단해야 하는 번거로움이 있다. 본 논문에서는 정밀하고 응답속도가 빠른 온습도 센서를 이용하여 호흡주기를 측정함으로서 폐쇄성 수면 무호흡증을 진단하고 경보를 발생하는 휴대형 수면 무호흡 측정기의 설계 및 구현 기법을 제안하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.8
• /
• pp.1587-1595
• /
• 2016

P wave is cardiac parameters that represent the electrical and physiological characteristics, it is very important to diagnose atrial arrhythmia. However, It is very difficult to detect because of the small size compared to R wave and the various morphology. Several methods for detecting P wave has been proposed, such as frequency analysis and non-linear approach. However, in the case of conduction abnormality such as AV block or atrial arrhythmia, detection accuracy is at the lower level. We propose P wave detection algorithm through adaptive threshold and QRS peak variability. For this purpose, we detected Q, R, S wave from noise-free ECG signal through the preprocessing method. And then we classified three pattern of P wave by peak variability and detected adaptive window and threshold. The performance of P wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 92.60%.

• Journal of Veterinary Clinics
• /
• v.27 no.5
• /
• pp.573-578
• /
• 2010

A 4-year-old intact male Shih Tzu dog (weighing 5 kg), was presented with signs of severe dyspnea, exercise intolerance and cyanosis. Diagnostic studies suggested a reverse patent ductus arteriosus (rPDA) with pneumonia. Despite emergency treatments with oxygen, diuretics, antibiotics and medical therapy for hyperkalemia, the dog died of ventricular fibrillation from hyperkalemia and dehydration. Necropsy revealed the rPDA with a marked descending aortic dilation and abnormally arisen left common carotid artery.

• Journal of Chest Surgery
• /
• v.31 no.8
• /
• pp.770-775
• /
• 1998

Background: Atrial septal defect (ASD) is the most common congenital cardiac anomaly, accounting for 30 percent of congenital heart disease detected in the adult. Many patients with ASD are well tolerated and reach adult without significant symptoms. The patients with ASD die 4th and 5th decades, but prolonged survival is not uncommon. In general, the survival depends on whether pulmonary hypertension develops during adulthood or not. The most common cause of death in the patients with ASD is right ventricular failure or arrhythmias. Materials and methods: From January 1988 to June 1997, 33 cases of ASD underwent open heart surgeries in our hospital. Among them, 31 cases were adult ASD, and 2 tricuspid regurgitation, 1 pulmonic stenosis, 1 mitral regurgitation, 1 tricuspid regurgitation, and 1 coronary artery disease were combinded. All of the patients underwent surgical repair using autologus pericardial patch or direct closure. Results: The postoperative course was smooth and uneventful. Most of the patients showed significant improvement in ECG finding, hemodynamic profile, radiologic finding, and echocardiography, after surgery. Conclusions: Conclusively, most of the ASD should be closed even in patients over the age of 60 years, and early surgical repair must be done to prevent pulmonary hypertension, right ventricular failure, and arrythmias.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.7
• /
• pp.1531-1539
• /
• 2014

Premature ventricular contraction(PVC) is the most common disease among arrhythmia and it may cause serious situations such as ventricular fibrillation and ventricular tachycardia. Nevertheless personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. In other words, the design of algorithm that exactly detects abnormal signal and classifies PVC by analyzing the persons's physical condition and/or environment and variable QRS pattern is needed. Thus, PVC classification by personalized abnormal signal detection and QRS pattern variability is presented in this paper. For this purpose, we detected R wave through the preprocessing method and subtractive operation method and selected abnormal signal sets. Also, we classified PVC in realtime through QS interval and R wave amplitude. The performance of abnormal beat detection and PVC classification is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate the average of 98.33% in abnormal beat classification error and 94.46% in PVC classification.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.2
• /
• pp.450-460
• /
• 2017

T wave is cardiac parameters that represent ventricular repolarization, it is very important to diagnose arrhythmia. Several methods for detecting T wave have been proposed, such as frequency analysis and non-linear approach. However, detection accuracy is at the lower level. This is because of the overlap of the P wave and T wave depending on the heart condition. We propose T wave detection algorithm based on target area extraction through QRS cancellation and moving average. For this purpose, we detected Q, R, S wave from noise-free ECG(electrocardiogram) signal through the preprocessing method. And then we extracted P, T target area by applying decision rule for four PAC(premature atrial contraction) pattern another arrhythmia through moving average and detected T wave using RT interval and threshold of RR interval. The performance of T wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 95.32%.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.10
• /
• pp.1279-1286
• /
• 2021

The electrocardiogram (ECG) signal is a good indicator for early diagnosis of heart abnormalities. The ECG signal has a different reference normal signal for each person. And it requires lots of data to diagnosis. In this paper, we propose an adaptive OpenCL-based FPGA-GPU hybrid-layer platform to efficiently accelerate ECG signal diagnosis. As a result of diagnosing 19870 number of ECG signals of MIT-BIH arrhythmia database on the platform, the FPGA accelerator takes 1.15s, that the execution time was reduced by 89.94% and the power consumption was reduced by 84.0% compared to the software execution. The GPU accelerator takes 1.87s, that the execution time was reduced by 83.56% and the power consumption was reduced by 62.3% compared to the software execution. Although the proposed FPGA-GPU hybrid platform has a slower diagnostic speed than the FPGA accelerator, it can operate a flexible algorithm according to the situation by using the GPU.