• 제목/요약/키워드: ARRHYTHMIA

검색결과 601건 처리시간 0.032초

승모판막 수술 환자에서 발생한 부정맥의 치료 (Therapy for Postoperative Cardiac Arrhythmia in Patient with Mitral Valve Surgery)

  • 조건현
    • Journal of Chest Surgery
    • /
    • 제25권6호
    • /
    • pp.672-677
    • /
    • 1992
  • This is a clinical review of the results from electric cardioversion and pharmacological therapy used in our hospital for reverting cardiac arrythmia in patients with mitral valve surgery between Jan. 1990 and Jun. 1991. Of 62 evaluated patients, 16 patients had regular sinus rhythm and the other 46 had arrhythmias [42; atrial fibrillation 1; atrial flutter 1; premature ventricular contraction] preoperatively. In 2 of patients with sinus rhythm, atrial fibrillation newly developed after surgery and was converted into sinus rhythm soon by intravenous administration of digoxin. Remaining 14 patient resumed sinus rhythm spontaneously. In patients with preoperative arrythmia, 3 patients reverted into sinus rhythm from atrial fibrillation by electric cardioversion at operative field, 1 patient by lidocain and mexiletine, 4 patients by combined use of digoxin and verapamil, 4 patients by 2 times of oral quinidine and 9 patient by long term use of oral amiodarone. Throughout this consecutive trials of anti-arrhythmic drugs and electric cardioversion, Conversion into normal sinus rhythm occurred in 48% of patients with arrhythmia developed after mitral valve surgery.

  • PDF

M 채널 필터 뱅크를 이용한 QRS complex 검출 알고리즘 (QRS Complex Detection Algorithm Using M Channel Filter Banks)

  • 김동석;전대근;이경중;윤형로
    • 대한의용생체공학회:의공학회지
    • /
    • 제21권2호
    • /
    • pp.165-174
    • /
    • 2000
  • 본 논문에서는 M 채널 필터 뱅크를 이용하여 심전도 자동 진단 시스템에서 매우 중요한 파라미터로 사용되는 QRS complex 검출을 실시하였다. 제안된 알고리즘에서는 심전도 신호를 M개의 균일한 주파수 대역으로 분할(decomposition)하고, 분할된 서브밴드(subband) 신호들 중에서 QRS complex의 에너지 분포가 가장 많이 존재하는 5∼25Hz 영역의 서브밴드 신호들을 선택하여 feature를 계산함으로써 QRS complex 검출을 실시하였다. 제안된 알고리즘의 성능 비교를 위하여 MIT-BIH arrhythmia database를 사용하였으며, sensitivity는 99.82%, positive predictivity는 99.82, 평균 검출율은 99.67%로 기존의 알고리즘에 비해 높은 검출 성능을 나타내었다. 또한 polyphase representation을 이용하여 M 채널 필터 뱅크를 구현한 결과 연산 시간이 단추되어 실시간 검출이 가능함을 확인하였다.

  • PDF

실시간 심전도 처리를 위한 파이프라인 프로세서의 설계 (A design of pipeline processor for real time ECG process)

  • 이경중;이윤선;윤형로;이명호
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
    • /
    • pp.731-733
    • /
    • 1988
  • This paper describes a design of hardware system for real time automatic diagnosis of ECG arrhythmia based on pipeline processor consisting of the three microcomputer. ECG data is acquisited by 12 bit A/D converter with hardware QRS triggered detector. Four diagnostic parameters - heart rate, morphology, axis, and ST segment - are used for the classification and the diagnosis of arrhythmia. The functions of the main CPU were distributed and processed with three microcomputers. There-fore the effective data process and the real time process using microcomputer can be obtained. The interconnection structure consisting of two common memory units is designed to decrease the delay time caused by data transfer between processors and by which the delay time can be taken 1 % of one clock period.

  • PDF

Intracardiac Signal의 스펙트럼 분석을 통한 Atrial Tachycardia 및 Atrial Fibrillation 검출 (Detection of Atrial Tachycardia and Atrial Fibrillation Using Spectrum Analysis of Intracardiac Signal)

  • 이충근;정보영;이명호;신항식
    • 대한전기학회논문지:시스템및제어부문D
    • /
    • 제55권3호
    • /
    • pp.142-145
    • /
    • 2006
  • Detection methods for atrial tachycardia and atrial fibrillation on the time axis have the advantages of light operational load and are easy to apply to various applications. Despite these advantages, arrhythmia detection algorithm on the time axis cannot stand much noise such as motion artifacts, moreover the peak detection algorithm has high complexity. In this paper, we use a spectrum analysis method for the detection of atrial tachycardia and atrial fibrillation. By applying spectrum analysis and digital filtering on obtained electrogram signals, we can diagnose heart arrhythmia without using peak detection algorithm.

Successful Surgical Treatment of Cardiac Complication of Graves Disease

  • Min, Jooncheol;Kim, Woong-Han;Jang, Woo Sung;Choi, Eun Seok;Cho, Sungkyu;Choi, Kwang Ho
    • Journal of Chest Surgery
    • /
    • 제47권3호
    • /
    • pp.294-297
    • /
    • 2014
  • Cardiac complications such as arrhythmia and heart failure are common in Graves disease. Early detection and proper treatment of hyperthyroidism are important because cardiac complications are reported to be reversible if the thyroid function is normalized by medical treatment. We report here a case of cardiac complication of Graves disease that was too late to reverse with medical treatment and required surgical treatment.

급성관동맥증후군을 동반한 심방세동 환자에서 NOAC 치료 (NOAC for Patients with AF and ACS)

  • 김동혁;최종일
    • International Journal of Arrhythmia
    • /
    • 제17권1호
    • /
    • pp.41-45
    • /
    • 2016
  • Atrial fibrillation (AF) can occur in acute coronary syndrome (ACS), which is a serious medical condition and may require the use of antiplatelet agents in addition to anticoagulants for stroke prevention. Recently, novel or non-vitamin K antagonist oral anticoagulants (NOACs) have been increasingly used for stroke prevention in patients with AF instead of traditional OACs. The duration of treatment or treatment with a stepwise approach (e.g. triple, double, or monotherapy) is determined depending on the clinical setting and the balance between the risks of ischemic stroke and bleeding. However, some concerns and controversies in the use of NOACs in patients with AF and ACS need to be addressed. Here, the current management for NOAC therapy in patients with ACS and AF will be reviewed based on recently published guidelines.

Support Vector Machine Based Arrhythmia Classification Using Reduced Features

  • Song, Mi-Hye;Lee, Jeon;Cho, Sung-Pil;Lee, Kyoung-Joung;Yoo, Sun-Kook
    • International Journal of Control, Automation, and Systems
    • /
    • 제3권4호
    • /
    • pp.571-579
    • /
    • 2005
  • In this paper, we proposed an algorithm for arrhythmia classification, which is associated with the reduction of feature dimensions by linear discriminant analysis (LDA) and a support vector machine (SVM) based classifier. Seventeen original input features were extracted from preprocessed signals by wavelet transform, and attempts were then made to reduce these to 4 features, the linear combination of original features, by LDA. The performance of the SVM classifier with reduced features by LDA showed higher than with that by principal component analysis (PCA) and even with original features. For a cross-validation procedure, this SVM classifier was compared with Multilayer Perceptrons (MLP) and Fuzzy Inference System (FIS) classifiers. When all classifiers used the same reduced features, the overall performance of the SVM classifier was comprehensively superior to all others. Especially, the accuracy of discrimination of normal sinus rhythm (NSR), arterial premature contraction (APC), supraventricular tachycardia (SVT), premature ventricular contraction (PVC), ventricular tachycardia (VT) and ventricular fibrillation (VF) were $99.307\%,\;99.274\%,\;99.854\%,\;98.344\%,\;99.441\%\;and\;99.883\%$, respectively. And, even with smaller learning data, the SVM classifier offered better performance than the MLP classifier.

계층구조적 분류모델을 이용한 심전도에서의 비정상 비트 검출 (Detection of Abnormal Heartbeat using Hierarchical Qassification in ECG)

  • 이도훈;조백환;박관수;송수화;이종실;지영준;김인영;김선일
    • 대한의용생체공학회:의공학회지
    • /
    • 제29권6호
    • /
    • pp.466-476
    • /
    • 2008
  • The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.

형방지황탕(荊防地黃湯)으로 경계(驚悸), 정충(怔忡)을 치료한 양성 부정맥 소양인(少陽人)환자 1례(例) (A Case Study Reporting Successful Treatment using Hyeongbangjihwang-tang of a Soyangin Patient diagnosed with Benign Arrhythmia and Experiencing Palpitation Symptoms)

  • 신현상;박병주;강미정;이지원;장현수;이준희;이의주;고병희
    • 사상체질의학회지
    • /
    • 제22권2호
    • /
    • pp.115-122
    • /
    • 2010
  • 1. Objectives: This case study reports clinical improvement of a Soyangin benign arrhythmia patient who showed improvement of palpitation symptoms after treatment with Hyeongbangjihwang-tang. 2. Methods: The patient's subjective and objective symptoms were observed daily, and the VAS scores and duration times of palpitation were recorded daily throughout the hospitalization period. 3. Results: The general condition of the patient improved by the end of hospitalization. The VAS score dropped from 4-10 to 0-1, and the duration of palpitation dropped from 50-160 min to 0-5 min. Other symptoms such as diarrhea and lower back pain also showed improvement. 4. Conclusion: This case study shows the effectiveness of Hyeongbangjihwang-tang in the treatment of palpitation. Although the literature on Hyeongbangjihwang-tang does not report its usage on palpitation, the prescription was shown to be effective in the case where the palpitation symptom is concomitant to the general symptomatology of the Mangeum disease, a pathology indicative of Hyeongbangjihwang-tang.