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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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Online Access: | https://hdl.handle.net/10356/36292 |
| _version_ | 1826116661641478144 |
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| author | Jin, Feng |
| author2 | Farook Sattar |
| author_facet | Farook Sattar Jin, Feng |
| author_sort | Jin, Feng |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:14:58Z |
| format | Thesis |
| id | ntu-10356/36292 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:14:58Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/362922023-07-04T17:04:03Z Advanced signal processing methods for analysis of respiratory sounds Jin, Feng Farook Sattar Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics 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. DOCTOR OF PHILOSOPHY (EEE) 2010-04-30T07:38:08Z 2010-04-30T07:38:08Z 2010 2010 Thesis Jin, F. (2010). Advanced signal processing methods for analysis of respiratory sounds. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/36292 10.32657/10356/36292 en 206 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Jin, Feng Advanced signal processing methods for analysis of respiratory sounds |
| title | Advanced signal processing methods for analysis of respiratory sounds |
| title_full | Advanced signal processing methods for analysis of respiratory sounds |
| title_fullStr | Advanced signal processing methods for analysis of respiratory sounds |
| title_full_unstemmed | Advanced signal processing methods for analysis of respiratory sounds |
| title_short | Advanced signal processing methods for analysis of respiratory sounds |
| title_sort | advanced signal processing methods for analysis of respiratory sounds |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | https://hdl.handle.net/10356/36292 |
| work_keys_str_mv | AT jinfeng advancedsignalprocessingmethodsforanalysisofrespiratorysounds |