dc.contributor.authorJin, Feng
dc.date.accessioned2010-04-30T07:38:08Z
dc.date.accessioned2017-07-23T08:32:45Z
dc.date.available2010-04-30T07:38:08Z
dc.date.available2017-07-23T08:32:45Z
dc.date.copyright2010en_US
dc.date.issued2010
dc.identifier.citationJin, F. (2010). Advanced signal processing methods for analysis of respiratory sounds. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/36292
dc.description.abstractRespiratory sounds (RSs) auscultation using stethoscope is often the first noninvasive resource available to physicians for the detection and analysis of respiratory ailments. Motivated by the subjectivity of human auditory system, computerized auscultation combined with signal processing techniques have boosted the diagnostic capabilities of RS. This PhD thesis concentrates on the advanced signals processing methods for RS analysis from several aspects including: RS denoising by means of heart sounds (HSs) cancellation (Part I), respiratory phase detection (Part II), as well as RS analysis and feature extraction methods for RS classification (Part III). Part I solves the problem of HS cancellation through a two-steps scheme consisting of HS localization and HS removal from different types of single-channel RS recordings.en_US
dc.format.extent206 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronicsen_US
dc.titleAdvanced signal processing methods for analysis of respiratory soundsen_US
dc.typeThesis
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorFarook Sattar
dc.contributor.supervisorGan Woon Sengen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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