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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >An approach to QRS complex detection based on multiscale mathematical morphology
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An approach to QRS complex detection based on multiscale mathematical morphology

机译：基于多尺度数学形态学的QRS复杂检测方法

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摘要

Accurate detection of electrocardiograph feature points is always critical for medical decision-making. A newly developed multi-scale mathematical morphology and its use in QRS complex detection was studied in this paper. It was found that the existing multi-scale mathematical morphology has a problem of a significant shift in feature points positioning. Aiming for exact position detection of feature points, an improved approach based on the concept of multi-scale mathematical morphology is proposed in this study. Experimental results show a much smaller shift in point positioning, and thus demonstrate the effectiveness of the proposed approach.
机译：精确地检测心电图特征点对于医学决策始终至关重要。本文研究了新开发的多规模数学形态及其在QRS复杂检测中。结果发现现有的多尺度数学形态存在于特征点定位的重要转变问题。针对特征点的确切位置检测，本研究提出了一种基于多规模数学形态概念的改进方法。实验结果表明点定位较小，从而证明了所提出的方法的有效性。

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