Digital Signal Processing Algorithms and Techniques for the Enhancement of Lung Sound Measurements (2008)
Abstract / truncated to 115 words
Lung sound signal (LSS) measurements are taken to aid in the diagnosis of various diseases. Their interpretation is difficult however due to the presence of interference generated by the heart. Novel digital signal processing techniques are therefore proposed to automate the removal of the heart sound signal (HSS) interference from the LSS measurements. The HSS is first assumed to be a periodic component so that an adaptive line enhancer can be exploited for the mitigation of the HSS interference. The utility of the scheme is verified on synthetic signals, however its performance is found to be limited on real measurements due to sensitivity in the selection of a decorrelation parameter. An improved solution with multiple ...
lung sound measurements – heart sound signals – sequential blind source extraction – second-order-statistics – adaptive line enhancer – sequential bayesian filtering – nonstationary – time-varying period – quasi-periodic signal.
Information
- Author
- Tsalaile, Thato
- Institution
- Loughborough University
- Supervisor
- Publication Year
- 2008
- Upload Date
- Dec. 12, 2008
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