ABSTRACT
This chapter explains the clinical importance of measuring effective pulmonary capillary pressure. It shows that some experimental results obtained for the cancellation of respiratory interference in pulmonary capillary transients when using the proposed structure. The cancellation is based on adaptive filtering for which new structures based on wavelet packets are proposed. Most of everyday signal processing tasks tend to be done in an unknown environment, which prevents engineers to design context-dependent filters. Finite impulse response adaptive filtering has been used in many areas, such as system identification, line enhancement, or echo cancelation. Subband adaptive filtering has been suggested as an alternative to classical adaptive filtering to increase computation speed and improve convergence of the adaptation process. The discrete wavelet transform decomposition is a powerful tool for the processing of nonstationary signals and is closely related to subband decomposition. The proposed mutual wavelet packet adaptive filtering algorithm is used for the cancellation of respiratory interference in pulmonary capillary transients.
