PARCORR-Based Time-Dependent AR Spectrum Estimation of Heart Wall Vibrations (Special Section on Advanced Signal Processing Techniques for Analysis of Acoustical and Vibrational Signals)
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概要
- 論文の詳細を見る
We present a new method for estimation of spectrum transition of nonstationary signals in cases of low signal-to-noise ratio (SNR). Instead of the basic functions employed in the previously proposed time-varying autoregressive (AR) modeling, we introduce a spectrum transition constraint into the cost function described by the partial correlation (PARCORE) coefficients so that the method is applicable to noisy nonstationary signals of which spectrum transition patterns are complex. By applying this method to the analysis of vibration signals on the interventricular septum (IVS) of the heart, noninvasively measured by the novel method developed in our laboratory using ultrasonics, the spectrum transition pattern is clearly obtained during one cardiac cycle for normal subjects and a patient with cardiomyopathy.
- 社団法人電子情報通信学会の論文
- 1999-04-25
著者
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KANAI Hiroshi
Department of Electronic Engineering, Graduate School of Engineering, Tohoku University
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Koiwa Yoshiro
First department of Internal Medicine, Tohoku University School of Medicine
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Koiwa Yoshiro
First Department Of Internal Medicine School Of Medicine Tohoku University
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Kanai Hiroshi
Department Of Electrical Engineering Faculty Of Engineering Tohoku University
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Kanai Hiroshi
Department Of Electrical Engineering Graduate School Of Engineering Tohoku University
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