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Open AccessArticle

Design and Validation of a Breathing Detection System for Scuba Divers

by Corentin Altepe 1,2,*,†, S. Murat Egi 3,4,†, Tamer Ozyigit 3,†, D. Ruzgar Sinoplu 1,†, Alessandro Marroni 4,† and Paola Pierleoni 2,†
1
Bogazici Underwater Research Center, Yavuzturk Sk. 32/1 Altiyol, 34716 Istanbul, Turkey
2
Information Engineering Department, Marche Polytechnic University, Via Brecce Bianche 12, 60131 Ancona, Italy
3
Computer Engineering Department, Galatasaray University, Ciragan Cad. 36 Ortakoy, 34349 Istanbul, Turkey
4
DAN Europe Research Division, Contada Padune 11, 64026 Roseto degli Abruzzi, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Yasuhisa Omura
Sensors 2017, 17(6), 1349; https://doi.org/10.3390/s17061349
Received: 19 April 2017 / Revised: 5 June 2017 / Accepted: 7 June 2017 / Published: 9 June 2017
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. View Full-Text
Keywords: breathing monitor; inhalation detection; two-stage regulator; continuous monitoring; diving; drowning; hyperventilation; hypercapnia; skip-breathing breathing monitor; inhalation detection; two-stage regulator; continuous monitoring; diving; drowning; hyperventilation; hypercapnia; skip-breathing
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MDPI and ACS Style

Altepe, C.; Egi, S.M.; Ozyigit, T.; Sinoplu, D.R.; Marroni, A.; Pierleoni, P. Design and Validation of a Breathing Detection System for Scuba Divers. Sensors 2017, 17, 1349.

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