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KMID : 0372919950160040403
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Journal of Biomedical Engineering Research
1995 Volume.16 No. 4 p.403 ~ p.414
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Development of ECG Identification System Using the Fuzzy Processor
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장원석
이응혁/김병수/강병익/홍승홍
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Abstract
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It is very difficult to quantize the ECG analysis because the decision criterion for ECG is different with each other depending on the medical specialists of the heart and there are measured detecting errors for each ECG measurement system. Therefore, we developed the real-time ECG identification system using digital fuzzy processor for STD-BUS, in order to reduce ambiguity generated in the process of ECG identification and to analyze the irregular ECG stastically to ECG’’’’s repetition interval. The variables such as AGE (months), width of QRS, average RRI, and RRI were used to classify the ECG, and were applied to ECG signal indentification system which is developed for the purpose of research. It was found that the automatic diagnosis of ECG signal was possible in the real time process which was impossible in general process of algorithm.
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