On the Validation of Computerised Lung Auscultation

Guilherme Campos, João Quintas

2015

Abstract

The development of computerised diagnosis tools based on lung auscultation necessitates appropriate validation. So far, this work front has received insufficient attention from researchers; validation studies found in the literature are largely flawed. We believe that building open-access crowd-sourced information systems based on large-scale repositories of respiratory sound files is an essential task and should be urgently addressed. Most diagnosis tools are based on automatic adventitious lung sound (ALS) detection algorithms. The gold standards required to assess their performance can only be obtained by human expert annotation of a statistically significant set of respiratory sound files; given the inevitable subjectivity of the process, statistical agreement criteria must be applied to multiple independent annotations obtained for each file. For these reasons, the information systems we propose should provide simple, efficient annotation tools; facilitate the formation of credible annotation panels; apply appropriate agreement criteria and metrics to generate goldstandard ALS annotation files and, based on them, allow easy quantitative assessment of detection algorithm performance.

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Paper Citation


in Harvard Style

Campos G. and Quintas J. (2015). On the Validation of Computerised Lung Auscultation . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 654-658. DOI: 10.5220/0005293406540658


in Bibtex Style

@conference{healthinf15,
author={Guilherme Campos and João Quintas},
title={On the Validation of Computerised Lung Auscultation},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={654-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293406540658},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - On the Validation of Computerised Lung Auscultation
SN - 978-989-758-068-0
AU - Campos G.
AU - Quintas J.
PY - 2015
SP - 654
EP - 658
DO - 10.5220/0005293406540658