APPLICATION OF WALSH TRANSFORM BASED METHOD ON TRACHEAL BREATH SOUND SIGNAL SEGEMENTATION

Jin Feng, Farook Sattar, Moe Pwint

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.

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Paper Citation


in Harvard Style

Feng J., Sattar F. and Pwint M. (2008). APPLICATION OF WALSH TRANSFORM BASED METHOD ON TRACHEAL BREATH SOUND SIGNAL SEGEMENTATION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 116-121. DOI: 10.5220/0001057501160121


in Bibtex Style

@conference{biosignals08,
author={Jin Feng and Farook Sattar and Moe Pwint},
title={APPLICATION OF WALSH TRANSFORM BASED METHOD ON TRACHEAL BREATH SOUND SIGNAL SEGEMENTATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={116-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001057501160121},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - APPLICATION OF WALSH TRANSFORM BASED METHOD ON TRACHEAL BREATH SOUND SIGNAL SEGEMENTATION
SN - 978-989-8111-18-0
AU - Feng J.
AU - Sattar F.
AU - Pwint M.
PY - 2008
SP - 116
EP - 121
DO - 10.5220/0001057501160121