Loading…

Mobile sonouroflowmetry using voiding sound and volume

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 evaluat...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2021-05, Vol.11 (1), p.11250-11250, Article 11250
Main Authors: El Helou, Elie, Naba, Joy, Youssef, Karim, Mjaess, Georges, Sleilaty, Ghassan, Helou, Samar
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733
cites cdi_FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733
container_end_page 11250
container_issue 1
container_start_page 11250
container_title Scientific reports
container_volume 11
creator El Helou, Elie
Naba, Joy
Youssef, Karim
Mjaess, Georges
Sleilaty, Ghassan
Helou, Samar
description 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.
doi_str_mv 10.1038/s41598-021-90659-9
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_aebdb3fac08d436987b20795062a21b6</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_aebdb3fac08d436987b20795062a21b6</doaj_id><sourcerecordid>2534612483</sourcerecordid><originalsourceid>FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733</originalsourceid><addsrcrecordid>eNp9kU1r3DAQhkVpSJYkfyCnPfbiRl9jay6FsvQjsCWX5Cwke7z1YlupZG_Jv482XkJzqUDMoJl5NLwvYzeCfxZcmdukBaApuBQF8hKwwA9sJbmGQiopP_6TX7DrlPY8H5CoBZ6zC6VzEapqxcpfwXc9rVMYwxxD24e_A03xeT2nbtytD6FrjjGFeWzWLt9D6OeBrthZ6_pE16d4yR6_f3vY_Cy29z_uNl-3RQ0AUwFctXlDblCR16QdSqMQvfYgiQuDGjggUFmR0zVKBA-6kSRM6Zq6UuqS3S3cJri9fYrd4OKzDa6zrw8h7qyLU1f3ZB35xqvW1dw0WpVoKi95hcBL6aTwZWZ9WVhPsx-oqWmcouvfQd9Xxu633YWDNVlp1JgBn06AGP7MlCY7dKmmvncjhTlZCUqXQmpz3FsurXUMKUVq374R3B79s4t_NqtjX_2zR75ahlJuHncU7T57MmZ9_zf1Alx5m4o</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2534612483</pqid></control><display><type>article</type><title>Mobile sonouroflowmetry using voiding sound and volume</title><source>PubMed Central Free</source><source>Publicly Available Content Database</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>El Helou, Elie ; Naba, Joy ; Youssef, Karim ; Mjaess, Georges ; Sleilaty, Ghassan ; Helou, Samar</creator><creatorcontrib>El Helou, Elie ; Naba, Joy ; Youssef, Karim ; Mjaess, Georges ; Sleilaty, Ghassan ; Helou, Samar</creatorcontrib><description>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.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-021-90659-9</identifier><identifier>PMID: 34045577</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4025 ; 692/4025/1334 ; Humanities and Social Sciences ; multidisciplinary ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2021-05, Vol.11 (1), p.11250-11250, Article 11250</ispartof><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733</citedby><cites>FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159949/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159949/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids></links><search><creatorcontrib>El Helou, Elie</creatorcontrib><creatorcontrib>Naba, Joy</creatorcontrib><creatorcontrib>Youssef, Karim</creatorcontrib><creatorcontrib>Mjaess, Georges</creatorcontrib><creatorcontrib>Sleilaty, Ghassan</creatorcontrib><creatorcontrib>Helou, Samar</creatorcontrib><title>Mobile sonouroflowmetry using voiding sound and volume</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><description>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.</description><subject>692/4025</subject><subject>692/4025/1334</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kU1r3DAQhkVpSJYkfyCnPfbiRl9jay6FsvQjsCWX5Cwke7z1YlupZG_Jv482XkJzqUDMoJl5NLwvYzeCfxZcmdukBaApuBQF8hKwwA9sJbmGQiopP_6TX7DrlPY8H5CoBZ6zC6VzEapqxcpfwXc9rVMYwxxD24e_A03xeT2nbtytD6FrjjGFeWzWLt9D6OeBrthZ6_pE16d4yR6_f3vY_Cy29z_uNl-3RQ0AUwFctXlDblCR16QdSqMQvfYgiQuDGjggUFmR0zVKBA-6kSRM6Zq6UuqS3S3cJri9fYrd4OKzDa6zrw8h7qyLU1f3ZB35xqvW1dw0WpVoKi95hcBL6aTwZWZ9WVhPsx-oqWmcouvfQd9Xxu633YWDNVlp1JgBn06AGP7MlCY7dKmmvncjhTlZCUqXQmpz3FsurXUMKUVq374R3B79s4t_NqtjX_2zR75ahlJuHncU7T57MmZ9_zf1Alx5m4o</recordid><startdate>20210527</startdate><enddate>20210527</enddate><creator>El Helou, Elie</creator><creator>Naba, Joy</creator><creator>Youssef, Karim</creator><creator>Mjaess, Georges</creator><creator>Sleilaty, Ghassan</creator><creator>Helou, Samar</creator><general>Nature Publishing Group UK</general><general>Nature Portfolio</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210527</creationdate><title>Mobile sonouroflowmetry using voiding sound and volume</title><author>El Helou, Elie ; Naba, Joy ; Youssef, Karim ; Mjaess, Georges ; Sleilaty, Ghassan ; Helou, Samar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>692/4025</topic><topic>692/4025/1334</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>El Helou, Elie</creatorcontrib><creatorcontrib>Naba, Joy</creatorcontrib><creatorcontrib>Youssef, Karim</creatorcontrib><creatorcontrib>Mjaess, Georges</creatorcontrib><creatorcontrib>Sleilaty, Ghassan</creatorcontrib><creatorcontrib>Helou, Samar</creatorcontrib><collection>SpringerOpen</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>El Helou, Elie</au><au>Naba, Joy</au><au>Youssef, Karim</au><au>Mjaess, Georges</au><au>Sleilaty, Ghassan</au><au>Helou, Samar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mobile sonouroflowmetry using voiding sound and volume</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><date>2021-05-27</date><risdate>2021</risdate><volume>11</volume><issue>1</issue><spage>11250</spage><epage>11250</epage><pages>11250-11250</pages><artnum>11250</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>34045577</pmid><doi>10.1038/s41598-021-90659-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2021-05, Vol.11 (1), p.11250-11250, Article 11250
issn 2045-2322
2045-2322
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_aebdb3fac08d436987b20795062a21b6
source PubMed Central Free; Publicly Available Content Database; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access
subjects 692/4025
692/4025/1334
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
title Mobile sonouroflowmetry using voiding sound and volume
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T19%3A06%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mobile%20sonouroflowmetry%20using%20voiding%20sound%20and%20volume&rft.jtitle=Scientific%20reports&rft.au=El%20Helou,%20Elie&rft.date=2021-05-27&rft.volume=11&rft.issue=1&rft.spage=11250&rft.epage=11250&rft.pages=11250-11250&rft.artnum=11250&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-021-90659-9&rft_dat=%3Cproquest_doaj_%3E2534612483%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c555t-503f0210893eb4e4a928399b4b52e0189450595e67ea4c9295b54d2e186adc733%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2534612483&rft_id=info:pmid/34045577&rfr_iscdi=true