Discussion of Late Fields of the QRS Complex in Three-Dimensional Magnetocardiogram Based on Wavelet Transform(Special Issue on Measurements and Visualization Technology of Biological Information)
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概要
- 論文の詳細を見る
An algorithm based on the wavelet transform(WT)was developed to analyze the QRS complex in a three-dimensional magnetocardiogram(3-D MCG)recorded from 3 normal subjects and 1 patient with anterior myocardial infarction(MI). By using a wavelet equivalent filter constructed with the WT algorithm, the high frequency components of the QRS complex related to the late fields(LF)were detected for the patient with anterior MI at different scale. We quantified the high frequency components of the QRS complex by calculating root-mean-square(RMS)value at different scale. The LF mainly existed in the frequency band of about 35.5 to 110.5Hz with the amplitude of about 0.1 to 0.4pT for B_x, B_y, and B_z components. In order to discuss the activities of the heart between the normal subject and the patient with anterior MI, we have also evaluated the spatial energy distribution(SED)of the QRS complex by displaying isoenergy contour maps at different scale. Being different from the normal subject, the patient with anterior MI represented different the pattern of the SED in various frequency band for the ST segment of the QRS complex of B_x, B_y, and B_z components. It is efficient to use the WT algorithm for analyzing the QRS complex in the 3-D MCG.
- 社団法人電子情報通信学会の論文
- 2002-01-01
著者
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Uchikawa Yoshinori
The Department Of Electronic And Cumputer Engineering School Of Science And Engineering Tokyo Denki
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Liu M
The Department Of Electronic And Cumputer Engineering School Of Science And Engineering Tokyo Denki
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LIU Mai
the Department of Electronic and Cumputer Engineering, School of Science and Engineering Tokyo Denki
関連論文
- 3-D MCG Waveform Analysis Based on Wavelet Packets
- Decomposition Of MCG Signals by Use of a Wavelet Transform Based Band Pass filters
- Discussion of Late Fields of the QRS Complex in Three-Dimensional Magnetocardiogram Based on Wavelet Transform(Special Issue on Measurements and Visualization Technology of Biological Information)