Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pierleoni, Paola, Maurizi, Lorenzo, Palma, Lorenzo, Belli, Alberto, Valenti, Simone, Marroni, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
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
_version_ 1783285395550633984
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
work_keys_str_mv AT pierleonipaola asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT maurizilorenzo asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT palmalorenzo asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT bellialberto asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT valentisimone asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT marronialessandro asoftwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT pierleonipaola softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT maurizilorenzo softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT palmalorenzo softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT bellialberto softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT valentisimone softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals
AT marronialessandro softwaretoolfortheannotationofemboliceventsinechodoppleraudiosignals