Algorithm Research of ECG Characteristic Points Detection Based on Wavelet Transforms

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• 作者：Li Wang (12) wangl@smic.edu.cn
  Zhihong Chen (1)
  Xin Zhang (2)
• 关键词：ECG signal – ; QRS complex wave – ; Detection – ; Wavelet transforms
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7390
• 期：1
• 页码：244-249
• 全文大小：182.5 KB
• 参考文献：1. Naregalkar, A., Naga, A., Vamsee, J., et al.: ECG Noise Removal and QRS Complex Detection Using UWT. In: 2010 International Conference on Electronics and Information Engineering (ICEIE), pp. 438–442 (2010)
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• 作者单位：1. College of Life Science and Technology, Tongji University, Shanghai, China2. Shanghai Medical Instrumentation College, University of Shanghai for Science and Technology, Shanghai, China
• ISSN：1611-3349

文摘

This paper introduces the algorithm research of ECG characteristic points detection based on the wavelet transforms. The ECG signal is filtered by Mallat algorithm using the dyadic spline wavelets and then detected R wave on some proper scales by our algorithm against ECG including muscle contraction noise. The experiment results proved that the ECG characteristic value detection algorithm based on wavelet transforms is efficient and has important practical value in clinical diagnosis and physiological study. The future work is mainly on the better choice of comparison function to effectively adjust the relationship between speed and accuracy of detection.