Mobile sonouroflowmetry using voiding sound and volume

Abstract Uroflowmetry (UF) is a common clinic-based non-invasive test to diagnose Lower Urinary Tract Dysfunction (LUTD). Accurate home-based uroflowmetry methods are needed to conveniently conduct repeated uroflowmetries when patients are physiologically ready to urinate. To this end, we propose an...

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Autores principales:	Elie El Helou, Joy Naba, Karim Youssef, Georges Mjaess, Ghassan Sleilaty, Samar Helou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/aebdb3fac08d436987b20795062a21b6
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spelling	oai:doaj.org-article:aebdb3fac08d436987b20795062a21b62021-12-02T15:49:29ZMobile sonouroflowmetry using voiding sound and volume10.1038/s41598-021-90659-92045-2322https://doaj.org/article/aebdb3fac08d436987b20795062a21b62021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90659-9https://doaj.org/toc/2045-2322Abstract Uroflowmetry (UF) is a common clinic-based non-invasive test to diagnose Lower Urinary Tract Dysfunction (LUTD). Accurate home-based uroflowmetry methods are needed to conveniently conduct repeated uroflowmetries when patients are physiologically ready to urinate. To this end, we propose and evaluate a novel mobile sonouroflowmetry (SUF) method that estimates the urinary flow rate from a sound signal recorded using a mobile phone. By linearly mapping the total sound energy to the total voided volume, the sound energy curve is transformed to a flow rate curve allowing the estimation of the flow rate over time. An evaluation using data from 44 healthy young men showed high similarity between the UF and SUF flow rates with a mixed-effects model correlation coefficient of 0.993 and a mean root mean square error of 2.37 ml/s. Maximum flow rates were estimated with an average absolute error of 2.41 ml/s. Future work on mobile uroflowmetry can use these results as an initial benchmark for flow rate estimation accuracy.Elie El HelouJoy NabaKarim YoussefGeorges MjaessGhassan SleilatySamar HelouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elie El Helou Joy Naba Karim Youssef Georges Mjaess Ghassan Sleilaty Samar Helou Mobile sonouroflowmetry using voiding sound and volume
description	Abstract Uroflowmetry (UF) is a common clinic-based non-invasive test to diagnose Lower Urinary Tract Dysfunction (LUTD). Accurate home-based uroflowmetry methods are needed to conveniently conduct repeated uroflowmetries when patients are physiologically ready to urinate. To this end, we propose and evaluate a novel mobile sonouroflowmetry (SUF) method that estimates the urinary flow rate from a sound signal recorded using a mobile phone. By linearly mapping the total sound energy to the total voided volume, the sound energy curve is transformed to a flow rate curve allowing the estimation of the flow rate over time. An evaluation using data from 44 healthy young men showed high similarity between the UF and SUF flow rates with a mixed-effects model correlation coefficient of 0.993 and a mean root mean square error of 2.37 ml/s. Maximum flow rates were estimated with an average absolute error of 2.41 ml/s. Future work on mobile uroflowmetry can use these results as an initial benchmark for flow rate estimation accuracy.
format	article
author	Elie El Helou Joy Naba Karim Youssef Georges Mjaess Ghassan Sleilaty Samar Helou
author_facet	Elie El Helou Joy Naba Karim Youssef Georges Mjaess Ghassan Sleilaty Samar Helou
author_sort	Elie El Helou
title	Mobile sonouroflowmetry using voiding sound and volume
title_short	Mobile sonouroflowmetry using voiding sound and volume
title_full	Mobile sonouroflowmetry using voiding sound and volume
title_fullStr	Mobile sonouroflowmetry using voiding sound and volume
title_full_unstemmed	Mobile sonouroflowmetry using voiding sound and volume
title_sort	mobile sonouroflowmetry using voiding sound and volume
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/aebdb3fac08d436987b20795062a21b6
work_keys_str_mv	AT elieelhelou mobilesonouroflowmetryusingvoidingsoundandvolume AT joynaba mobilesonouroflowmetryusingvoidingsoundandvolume AT karimyoussef mobilesonouroflowmetryusingvoidingsoundandvolume AT georgesmjaess mobilesonouroflowmetryusingvoidingsoundandvolume AT ghassansleilaty mobilesonouroflowmetryusingvoidingsoundandvolume AT samarhelou mobilesonouroflowmetryusingvoidingsoundandvolume
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Mobile sonouroflowmetry using voiding sound and volume

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