Advanced signal processing methods for analysis of respiratory sounds
Respiratory 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...
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| 格式: | Theses and Dissertations |
| 語言: | English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/36292 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | Respiratory 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. |
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