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Design and Validation of a Breathing Detection System for Scuba Divers

Drowning is the major cause of death in self-contained underwater breathing apparatus (SCUBA) diving. This study proposes an embedded system with a live and light-weight algorithm which detects the breathing of divers through the analysis of the intermediate pressure (IP) signal of the SCUBA regulat...

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Autores principales: Altepe, Corentin, Egi, S. Murat, Ozyigit, Tamer, Sinoplu, D. Ruzgar, Marroni, Alessandro, Pierleoni, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492039/
https://www.ncbi.nlm.nih.gov/pubmed/28598405
http://dx.doi.org/10.3390/s17061349
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author Altepe, Corentin
Egi, S. Murat
Ozyigit, Tamer
Sinoplu, D. Ruzgar
Marroni, Alessandro
Pierleoni, Paola
author_facet Altepe, Corentin
Egi, S. Murat
Ozyigit, Tamer
Sinoplu, D. Ruzgar
Marroni, Alessandro
Pierleoni, Paola
author_sort Altepe, Corentin
collection PubMed
description Drowning is the major cause of death in self-contained underwater breathing apparatus (SCUBA) diving. This study proposes an embedded system with a live and light-weight algorithm which detects the breathing of divers through the analysis of the intermediate pressure (IP) signal of the SCUBA regulator. A system composed mainly of two pressure sensors and a low-power microcontroller was designed and programmed to record the pressure sensors signals and provide alarms in absence of breathing. An algorithm was developed to analyze the signals and identify inhalation events of the diver. A waterproof case was built to accommodate the system and was tested up to a depth of 25 m in a pressure chamber. To validate the system in the real environment, a series of dives with two different types of workload requiring different ranges of breathing frequencies were planned. Eight professional SCUBA divers volunteered to dive with the system to collect their IP data in order to participate to validation trials. The subjects underwent two dives, each of 52 min on average and a maximum depth of 7 m. The algorithm was optimized for the collected dataset and proved a sensitivity of inhalation detection of 97.5% and a total number of 275 false positives (FP) over a total recording time of 13.9 h. The detection algorithm presents a maximum delay of 5.2 s and requires only 800 bytes of random-access memory (RAM). The results were compared against the analysis of video records of the dives by two blinded observers and proved a sensitivity of 97.6% on the data set. The design includes a buzzer to provide audible alarms to accompanying dive buddies which will be triggered in case of degraded health conditions such as near drowning (absence of breathing), hyperventilation (breathing frequency too high) and skip-breathing (breathing frequency too low) measured by the improper breathing frequency. The system also measures the IP at rest before the dive and indicates with flashing light-emitting diodes and audible alarm the regulator malfunctions due to high or low IP that may cause fatal accidents during the dive by preventing natural breathing. It is also planned to relay the alarm signal to underwater and surface rescue authorities by means of acoustic communication.
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spelling pubmed-54920392017-07-03 Design and Validation of a Breathing Detection System for Scuba Divers Altepe, Corentin Egi, S. Murat Ozyigit, Tamer Sinoplu, D. Ruzgar Marroni, Alessandro Pierleoni, Paola Sensors (Basel) Article Drowning is the major cause of death in self-contained underwater breathing apparatus (SCUBA) diving. This study proposes an embedded system with a live and light-weight algorithm which detects the breathing of divers through the analysis of the intermediate pressure (IP) signal of the SCUBA regulator. A system composed mainly of two pressure sensors and a low-power microcontroller was designed and programmed to record the pressure sensors signals and provide alarms in absence of breathing. An algorithm was developed to analyze the signals and identify inhalation events of the diver. A waterproof case was built to accommodate the system and was tested up to a depth of 25 m in a pressure chamber. To validate the system in the real environment, a series of dives with two different types of workload requiring different ranges of breathing frequencies were planned. Eight professional SCUBA divers volunteered to dive with the system to collect their IP data in order to participate to validation trials. The subjects underwent two dives, each of 52 min on average and a maximum depth of 7 m. The algorithm was optimized for the collected dataset and proved a sensitivity of inhalation detection of 97.5% and a total number of 275 false positives (FP) over a total recording time of 13.9 h. The detection algorithm presents a maximum delay of 5.2 s and requires only 800 bytes of random-access memory (RAM). The results were compared against the analysis of video records of the dives by two blinded observers and proved a sensitivity of 97.6% on the data set. The design includes a buzzer to provide audible alarms to accompanying dive buddies which will be triggered in case of degraded health conditions such as near drowning (absence of breathing), hyperventilation (breathing frequency too high) and skip-breathing (breathing frequency too low) measured by the improper breathing frequency. The system also measures the IP at rest before the dive and indicates with flashing light-emitting diodes and audible alarm the regulator malfunctions due to high or low IP that may cause fatal accidents during the dive by preventing natural breathing. It is also planned to relay the alarm signal to underwater and surface rescue authorities by means of acoustic communication. MDPI 2017-06-09 /pmc/articles/PMC5492039/ /pubmed/28598405 http://dx.doi.org/10.3390/s17061349 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Altepe, Corentin
Egi, S. Murat
Ozyigit, Tamer
Sinoplu, D. Ruzgar
Marroni, Alessandro
Pierleoni, Paola
Design and Validation of a Breathing Detection System for Scuba Divers
title Design and Validation of a Breathing Detection System for Scuba Divers
title_full Design and Validation of a Breathing Detection System for Scuba Divers
title_fullStr Design and Validation of a Breathing Detection System for Scuba Divers
title_full_unstemmed Design and Validation of a Breathing Detection System for Scuba Divers
title_short Design and Validation of a Breathing Detection System for Scuba Divers
title_sort design and validation of a breathing detection system for scuba divers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492039/
https://www.ncbi.nlm.nih.gov/pubmed/28598405
http://dx.doi.org/10.3390/s17061349
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