Rhythm Classification of ECG Signal by Rule and SVM Based Algorithm

Sungoan Kim; 김대환

Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible. In this paper, based on feature-points of ECG signals,rhythm analysis for constant section and heartbeat unit is conducted using rule-based classification and SVM-based classification respectively. Rhythm types are classified using a rule base deduced from clinical materials for features of rhythm section in rule-based classification, and monotonic rhythm or major abnormality heartbeats are classified using multiple SVMs trained previously for features of heartbeat unit in SVM-based classification. Experimental results for the MIT-BIH arrhythmia database show classification ratios of 68.52% by rule-based method alone and 87.04% by fusion method of rule-based and SVM-based for 11 rhythm types. The proposed fusion method is improved by about 19% through misclassification improvement for monotonic and arrangement rhythms by SVM-based method

Citation status

KCI Citation Counts (1)
열림/닫힘 버튼
REFERENCES (20)
열림/닫힘 버튼
* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

[journal] 한영환 / 2011 / A Study on Monitoring of Bio-Signal for u-Health System / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 16(3) : 9~16

[journal] F. Enseleit / 2006 / Long-term Continuous External Electrocardiographic Recording: A Review / Europace 8(4) : 255~266

[journal] D. Finlay / 2007 / Synthesising the 12-lead Electrocardiogram: Trends and Challenges / European Journal of Internal Medicine 18(8) : 566~570

[journal] D. Donoho / 1995 / De-noising by Soft-thresholding / IEEE Trans. on Information Theory 41(3) : 613~627

[journal] N. Thakor / 1991 / Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhythmia Detection / IEEE Trans. on Biomedical Engineering 38(8) : 785~794

[journal] J. Pan / 1985 / A Real-time QRS Detection Algorithm / IEEE Trans. on Biomedical Engineering 32(3) : 230~236

[journal] P. Laguna / 1994 / Automatic Detection of Wave Boundaries in Multilead ECG Signals: Validation with the CSE Database / Computers and Biomedical Research 27(1) : 45~60

[journal] 김진섭 / 2013 / An R-wave Detection method in ECG Signal Using Refractory Period / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 18(1) : 93~101

[journal] P. Chazal / 2004 / Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features / IEEE Trans. on Biomedical Engineering 51(7) : 1196~1206

[journal] Y. Hu / 1997 / A Patient-adaptable ECG Beat Classifier Using a Mixture of Experts Approach / IEEE Trans. on Biomedical Engineering 44(9) : 891~900

[journal] S. Osowski / 2004 / Support Vector Machine-based Expert System for Reliable Heartbeat Recognition / IEEE Trans. on Biomedical Engineering 51(4) : 582~589

[journal] T. Ince / 2009 / A Generic and Robust System for Automated Patient-specific Classification of ECG Signals / IEEE Trans. on Biomedical Engineering 56(5) : 1415~1426

[journal] 류춘하 / 2012 / Abnormality Detection of ECG Signal by Rule-based Rhythm Classification / 한국지능시스템학회 논문지 / 한국지능시스템학회 22(4) : 405~413 / http://dx.doi.org/

[journal] 김태훈 / 2010 / ECG Signal Compression using Feature Points based on Curvature / 한국지능시스템학회 논문지 / 한국지능시스템학회 20(5) : 624~630

[thesis] S. Kim / 2011 / Arrhythmia Detection and Type Classification of ECG Signals by Rule-based Rhythm Classification / 박사 / Kyungpook University

[journal] G. Moody / 1990 / The MIT-BIH Arrhythmia Database on CD-ROM and Software for Use with It / Computers in Cardiology : 185~188

[journal] M. Kundu / 1998 / A Knowledge-based Approach to ECG Interpretation Using Fuzzy Logic / IEEE Trans. on System, Man, and Cybernetics 28(2) : 237~243

[journal] D. Ge / 2002 / Cardiac Arrhythmia Classification Using Autoregressive Modeling / BioMedical Engineering Online 1(5) : 1~12

[journal] J. Rodriguez / 2005 / Real-time Classification of ECGs on a PDA / IEEE Trans. on Information Technology in Biomedicine 9(1) : 23~34

[confproc] U. Ayesta / Complexity Measure Revisited: A New Algorithm for Classifying Cardiac Arrhythmias / Proceedings of the 23rd Annual International Conference of the IEEE

KJC Korea
Journal Central

Statistics

Tools

Sharing

Issue List

Citation status