The Classification of Arrhythmia Using Similarity Analysis Between Unit Patterns at ECG Signal 


Vol. 19,  No. 1, pp. 105-112, Feb.  2012
10.3745/KIPSTD.2012.19.1.105


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  Abstract

Most methods for detecting PVC and APC require the measurement of accurate QRS complex, P wave and T wave. In this study, we propose new algorithm for detecting PVC and APC without using complex parameter and algorithms. Proposed algorithm have wide applicability to abnormal waveform by personal distinction and difference as well as all sorts of normal waveform on ECG. To achieve this, we separate ECG signal into each unit patterns and made a standard unit pattern by just using unit patterns which have normal R-R internal. After that, we detect PVC and APC by using similarity analysis for pattern matching between standard unit pattern and each unit patterns.

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[IEEE Style]

J. H. Bae, S. J. Lim, J. J. Kim, S. D. Park, J. D. Kim, "The Classification of Arrhythmia Using Similarity Analysis Between Unit Patterns at ECG Signal," The KIPS Transactions:PartD, vol. 19, no. 1, pp. 105-112, 2012. DOI: 10.3745/KIPSTD.2012.19.1.105.

[ACM Style]

Jung Hyoun Bae, Seung Ju Lim, Jeong Ju Kim, Sung Dae Park, and Jeong Do Kim. 2012. The Classification of Arrhythmia Using Similarity Analysis Between Unit Patterns at ECG Signal. The KIPS Transactions:PartD, 19, 1, (2012), 105-112. DOI: 10.3745/KIPSTD.2012.19.1.105.

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