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http://dx.doi.org/10.5391/JKIIS.2013.23.4.292

Unusual Waveform Detection Algorithm in Arrhythmia ECG Signal  

Park, Kil-Houm (School of Electronics Engineering, Kyungpook University)
Kim, Jin-Sub (School of Electronics Engineering, Kyungpook University)
Ryu, Chunha (School of Electronics Engineering, Kyungpook University)
Choi, Byung-Jae (School of Electronic and Electrical Engineering, Daegu University)
Kim, Jungjoon (School of Electronics Engineering, Kyungpook University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.4, 2013 , pp. 292-297 More about this Journal
Abstract
In this paper, unusual waveform detection algorithm based on Refractory Period in arrhythmia ECG signal is proposed. Most of arrhythmia ECG signals consist of unusual waveforms with average 10% rate. Thus tremendous benefit can be obtained in terms of time and cost by providing unusual waveform samples reduced more than 90% to medical staffs who have to monitor and analyze for a long time. The proposed algorithm detects the R-peak using the features of R wave and variable refractory period. For the detected R-peak, unusual waveforms are found using means and standard deviation of electric potential and kurtosis of the R-peaks which are not included in unusual waveform. The proposed algorithm was applied to all records of the MIT-BIH arrhythmia database and showed more than average 90% of compression ratio.
Keywords
ECG Signal; R-wave Detection; Refractory Period; Kurtosis; Electric Potential; Unusual Waveform;
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Times Cited By KSCI : 2  (Citation Analysis)
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