An Improved Threshold Wavelet Method of De-noising Electrocardiogram Signal

カテゴリ: 部門大会

論文No: TC1-16

グループ名: 【C】平成30年電気学会電子・情報・システム部門大会プログラム

発行日: 2018/09/05

タイトル(英語): An Improved Threshold Wavelet Method of De-noising Electrocardiogram Signal

著者名: Zhao Juan(中国地質大学(武漢)/東京工科大学),She Jinhua(中国地質大学(武漢)/東京工科大学),Wang Dianhong(中国地質大学(武漢)/武漢工程科技学院),Fukushima Edwardo F.(東京工科大学),Wu Min(中国地質大学(武漢))

著者名(英語): Juan Zhao|Jinhua She|Dianhong Wang|Edwardo F.Fukushima|Min Wu

キーワード: electrocardiogram (ECG)|improved threshold|de-noising method|wavelet transform

要約(日本語): Electrocardiogram (ECG) is the main basis of diagnosing cardiovascular disease. However, ECG signals are often corrupted by various types of noise while being sampled and recorded, which affects the reliability of data collection and analysis. In this study, an improved threshold de-noising method based on wavelet transform is proposed to effectually remain not only the continuity of the filtered signals but also the amplitudes of ECG waveforms. The experimental results prove that the proposed method is improved than traditional wavelet threshold de-noising methods in the aspects of signal-to-noise ratio (SNR) and root-mean-square error (RMSE).

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