A Noise Reduction Method for ECG Signals Using the Dyadic Wavelet Transform(Special Section of Papers Selected from ITC-CSCC'97)

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概要

• 論文の詳細を見る

• In this paper, we propose a new denoising algorithm based on the dyadic wavelet transform(DWT)for ECG signals corrupted with different types of synthesized noise. Using the property that DWT is overcomplete, we define some convexsets in the set of wavelet coefficients and give an iterative method of the projection on the convex sets. The results show that the noises are not only removed from ECG signals, but also the ECG signals are reconstructed, which is used in detecting QRS complex. The performance of the proposed algorithm is demonstrated by some experiments in comparison with the conventional methods.

• 社団法人電子情報通信学会の論文
• 1998-06-25

著者

• Inoue Hisashi

  Kyushu Multimedia Systems Research Laboratory Matsushita Electric Industrial Co. Ltd.

• MIYAZAKI Akio

  the Graduate School of Information Science and Electrical Engineering, Kyushu University

• Inoue Hisashi

  Kyushu Multimedia System Research Laboratory Matsushita Electric Industrial Co. Ltd.

• Miyazaki Akio

  The Graduate School Of Information Science And Electrical Engineering Kyushu University

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• A Noise Reduction Method for ECG Signals Using the Dyadic Wavelet Transform(Special Section of Papers Selected from ITC-CSCC'97)
• Analysis of Watermarking Systems in the Frequency Domain and Its Application to Design of Robust Watermarking Systems(Special Section on Cryptography and Information Security)

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