Classification of respiratory pathology from pulmonary acoustic signals based on respiratory cycle segmentation and two-stage classification /
This thesis discusses the development of a computerized decision support system (CDSS) to detect respiratory pathology using pulmonary acoustic signals. The pulmonary acoustics signals were collected from 72 subjects to develop the CDSS. In order to develop the CDSS tool, three different methodologi...
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| Päätekijä: | |
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| Yhteisötekijä: | |
| Aineistotyyppi: | Opinnäyte Tietokoneohjelma E-kirja |
| Kieli: | English |
| Julkaistu: |
Perlis, Malaysia
School of Mechatronic Engineering, Universiti Malaysia Perlis
2015
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