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• W2139629185 abstract "In the processing and analysis of respiratory sounds, heart sounds present the main source of interference. This paper is concerned with the problem of cancellation of the heart sounds using a reduced-order Kalman filter (ROKF). To facilitate the estimation of the respiratory sounds, an autoregressive (AR) model is fitted to heart signal information present in the segments of the acquired signal which are free of respiratory sounds. The state-space equations necessary for the ROKF are then established considering the respiratory sound as a colored additive process in the observation equation. This scheme does not require a time alignment procedure as with the adaptive filtering-based schemes. The scheme is applied to several synthesized signals with different signal-to-interference ratios (SIR) and the results are presented." @default.
• W2139629185 created "2016-06-24" @default.
• W2139629185 creator A5017501434 @default.
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• W2139629185 date "1996-04-01" @default.
• W2139629185 modified "2023-10-12" @default.
• W2139629185 title "Reduced order Kalman filtering for the enhancement of respiratory sounds" @default.
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• W2139629185 doi "https://doi.org/10.1109/10.486262" @default.
• W2139629185 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/8626191" @default.
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