Automatic Wheeze Detection and Lung Function Evaluation - A Preliminary Study

Ana Oliveira, Cátia Pinho, João Dinis, Daniela Oliveira, Alda Marques

Abstract

The automatic detection of wheeze offers the potential for diagnosing and monitoring respiratory diseases, e.g., lower respiratory tract infection (LRTI). By determining the relationship between wheeze detection and other lung function data, it is possible to develop a more sensitive tool for detecting respiratory conditions. This pilot study aimed to: i) explore the robustness of a time frequency wheeze detector (TF-WD) and ii) describe the correlation between wheezing and spirometry parameters. Lung sounds and spirometry parame-ters were acquired from six outpatients with LRTI (five with right lung infection). Number, fundamental frequency and duration of wheezes were obtained through a TF-WD algorithm. The performance of the TF-WD algorithm was evaluated by comparing its findings in 40 files with those annotated by two experts. Re-sults suggest that the TF-WD algorithm is an efficient and robust method for computerised wheeze detection in LRTI (SE=72.5%; SP=99.2%). Furthermore, significant correlations were found between the percentage predicted of forced expiratory volume in 1 second and forced vital capacity (FEV1pp and FVCpp) and wheeze duration at lateral (rs=-0.9, p=0.03) and posterior (rs=-0.9, p=0.01) right regions respectively. These results support the use of pulmonary auscultation and spirometry to detect areas of obstruction in LRTI.

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Paper Citation


in Harvard Style

Oliveira A., Pinho C., Dinis J., Oliveira D. and Marques A. (2013). Automatic Wheeze Detection and Lung Function Evaluation - A Preliminary Study . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013) ISBN 978-989-8565-37-2, pages 323-326. DOI: 10.5220/0004191903230326


in Bibtex Style

@conference{healthinf13,
author={Ana Oliveira and Cátia Pinho and João Dinis and Daniela Oliveira and Alda Marques},
title={Automatic Wheeze Detection and Lung Function Evaluation - A Preliminary Study},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)},
year={2013},
pages={323-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004191903230326},
isbn={978-989-8565-37-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)
TI - Automatic Wheeze Detection and Lung Function Evaluation - A Preliminary Study
SN - 978-989-8565-37-2
AU - Oliveira A.
AU - Pinho C.
AU - Dinis J.
AU - Oliveira D.
AU - Marques A.
PY - 2013
SP - 323
EP - 326
DO - 10.5220/0004191903230326