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A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals
The use of precordial Doppler monitoring to prevent decompression sickness (DS) is well known by the scientific community as an important instrument for early diagnosis of DS. However, the timely and correct diagnosis of DS without assistance from diving medical specialists is unreliable. Thus, a co...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724642/ https://www.ncbi.nlm.nih.gov/pubmed/29242701 http://dx.doi.org/10.1177/1178222617745557 |
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author | Pierleoni, Paola Maurizi, Lorenzo Palma, Lorenzo Belli, Alberto Valenti, Simone Marroni, Alessandro |
author_facet | Pierleoni, Paola Maurizi, Lorenzo Palma, Lorenzo Belli, Alberto Valenti, Simone Marroni, Alessandro |
author_sort | Pierleoni, Paola |
collection | PubMed |
description | The use of precordial Doppler monitoring to prevent decompression sickness (DS) is well known by the scientific community as an important instrument for early diagnosis of DS. However, the timely and correct diagnosis of DS without assistance from diving medical specialists is unreliable. Thus, a common protocol for the manual annotation of echo Doppler signals and a tool for their automated recording and annotation are necessary. We have implemented original software for efficient bubble appearance annotation and proposed a unified annotation protocol. The tool auto-sets the response time of human “bubble examiners,” performs playback of the Doppler file by rendering it independent of the specific audio player, and enables the annotation of individual bubbles or multiple bubbles known as “showers.” The tool provides a report with an optimized data structure and estimates the embolic risk level according to the Extended Spencer Scale. The tool is built in accordance with ISO/IEC 9126 on software quality and has been projected and tested with assistance from the Divers Alert Network (DAN) Europe Foundation, which employs this tool for its diving data acquisition campaigns. |
format | Online Article Text |
id | pubmed-5724642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-57246422017-12-14 A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals Pierleoni, Paola Maurizi, Lorenzo Palma, Lorenzo Belli, Alberto Valenti, Simone Marroni, Alessandro Biomed Inform Insights Original Research The use of precordial Doppler monitoring to prevent decompression sickness (DS) is well known by the scientific community as an important instrument for early diagnosis of DS. However, the timely and correct diagnosis of DS without assistance from diving medical specialists is unreliable. Thus, a common protocol for the manual annotation of echo Doppler signals and a tool for their automated recording and annotation are necessary. We have implemented original software for efficient bubble appearance annotation and proposed a unified annotation protocol. The tool auto-sets the response time of human “bubble examiners,” performs playback of the Doppler file by rendering it independent of the specific audio player, and enables the annotation of individual bubbles or multiple bubbles known as “showers.” The tool provides a report with an optimized data structure and estimates the embolic risk level according to the Extended Spencer Scale. The tool is built in accordance with ISO/IEC 9126 on software quality and has been projected and tested with assistance from the Divers Alert Network (DAN) Europe Foundation, which employs this tool for its diving data acquisition campaigns. SAGE Publications 2017-12-07 /pmc/articles/PMC5724642/ /pubmed/29242701 http://dx.doi.org/10.1177/1178222617745557 Text en © The Author(s) 2017 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Pierleoni, Paola Maurizi, Lorenzo Palma, Lorenzo Belli, Alberto Valenti, Simone Marroni, Alessandro A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title | A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title_full | A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title_fullStr | A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title_full_unstemmed | A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title_short | A Software Tool for the Annotation of Embolic Events in Echo Doppler Audio Signals |
title_sort | software tool for the annotation of embolic events in echo doppler audio signals |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724642/ https://www.ncbi.nlm.nih.gov/pubmed/29242701 http://dx.doi.org/10.1177/1178222617745557 |
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