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KMID : 0372919960170020235
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Journal of Biomedical Engineering Research
1996 Volume.17 No. 2 p.235 ~ p.240
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Improvement of ECG P wave Detection Performance Using CIR(Contextusl Information Rule-base) Algorithm
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이지연
김익근/황성오/최경훈/윤형로
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Abstract
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The automated ECG diagnostic systems that are odd in hospitals have low performance of P-wave detection when faced with some diseases such as conduction block. So, the purpose of this study was the improvement of detection performance in conduction block which is low in P-wave detection. The first procedure was removal of baseline drift by subtracting the median filtered signal of 0.4 second length from the original signal. Then the algorithm detected R peak and T end point and cancelled the QRS-T complex to get’’’’p prototypes’’’’. Next step was magnification of P prototypes with dispersion and detection of’’’’p candidates’’’’in the magnified signal, and then extraction of contextual information concerned with P-waves. For the last procedure, the CIR was applied to P candidates to confirm P-waves. The rule base consisted of three rules that discriminate and confirm P-waves. This algorithm was evaluated using 500 patient’’’’s raw data P-wave detection perFormance was in- creased 6.8% compared with the QRS-T complex cancellation method without application of the rule base.
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KEYWORD
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