Authors:
Jin Feng
1
;
Farook Sattar
1
and
Moe Pwint
2
Affiliations:
1
School of Electrical& Electronic Engineering, Nanyang Technological University, Singapore
;
2
The University of Computer Studies, Singapore
Keyword(s):
Segmentation, Walsh Transform, Refinement Scheme, Inspiratory/Expiratory Phase, Various Types of Tracheal Breath Sounds, End-Inspiratory/Expiratory Pause.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
This paper proposes a robust segmentation method for differentiating consecutive inspiratory/expiratory episodes of different types of tracheal breath sounds. This has been done by applying minimal Walsh basis functions to transform the original input respiratory sound signals. Decision module is then applied to differentiate transformed signal into respiration segments and gap segments. The segmentation results are improved through a refinement scheme by new evaluation algorithm which is based on the duration of the segment. The results of the experiments, which have been carried out on various types of tracheal breath sounds, show the robustness and effectiveness of the proposed segmentation method.