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Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation
In surgeries where general anesthesia is required, the auscultation of heart and lung sounds is essential to provide information on the patient’s cardiorespiratory system. Heart and lung sounds can be recorded using an esophageal stethoscope; however, there is huge background noise when this device...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2021-10, Vol.21 (20), p.6757 |
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description | In surgeries where general anesthesia is required, the auscultation of heart and lung sounds is essential to provide information on the patient’s cardiorespiratory system. Heart and lung sounds can be recorded using an esophageal stethoscope; however, there is huge background noise when this device is used in an operating room. In this study, a digital esophageal stethoscope system was designed. A 3D-printed case filled with Polydimethylsiloxane material was designed to hold two electret-type microphones. One of the microphones was placed inside the printed case to collect the heart and lung sound signals coming out from the patient through the esophageal catheter, the other was mounted on the surface of the case to collect the operating room sounds. A developed adaptive noise canceling algorithm was implemented to remove the operating room noise corrupted with the main heart and lung sound signals and the output signal was displayed on software application developed especially for this study. Using the designed case, the noise level of the signal was reduced to some extent, and by adding the adaptive filter, further noise reduction was achieved. The designed system is lightweight and can provide noise-free heart and lung sound signals. |
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Heart and lung sounds can be recorded using an esophageal stethoscope; however, there is huge background noise when this device is used in an operating room. In this study, a digital esophageal stethoscope system was designed. A 3D-printed case filled with Polydimethylsiloxane material was designed to hold two electret-type microphones. One of the microphones was placed inside the printed case to collect the heart and lung sound signals coming out from the patient through the esophageal catheter, the other was mounted on the surface of the case to collect the operating room sounds. A developed adaptive noise canceling algorithm was implemented to remove the operating room noise corrupted with the main heart and lung sound signals and the output signal was displayed on software application developed especially for this study. Using the designed case, the noise level of the signal was reduced to some extent, and by adding the adaptive filter, further noise reduction was achieved. The designed system is lightweight and can provide noise-free heart and lung sound signals.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s21206757</identifier><identifier>PMID: 34695968</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Acoustics ; Adaptive algorithms ; Adaptive filters ; adaptive noise canceling ; Algorithms ; Anesthesia ; Approximation ; Background noise ; Catheters ; digital esophageal stethoscope ; esophageal catheter ; Esophagus ; Heart ; least mean square ; Lungs ; Noise ; Noise levels ; Noise reduction ; Polydimethylsiloxane ; Porous materials ; SIMULINK ; Sound</subject><ispartof>Sensors (Basel, Switzerland), 2021-10, Vol.21 (20), p.6757</ispartof><rights>2021 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 (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-6ff26610432331d17c21bd9da411e11bf12091f4484f80646544266ef08a86263</citedby><cites>FETCH-LOGICAL-c446t-6ff26610432331d17c21bd9da411e11bf12091f4484f80646544266ef08a86263</cites><orcidid>0000-0002-1010-7712</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2584568450/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2584568450?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,74998</link.rule.ids></links><search><creatorcontrib>Mohamed, Nourelhuda</creatorcontrib><creatorcontrib>Kim, Hyun-Seok</creatorcontrib><creatorcontrib>Kang, Kyu-Min</creatorcontrib><creatorcontrib>Mohamed, Manal</creatorcontrib><creatorcontrib>Kim, Sung-Hoon</creatorcontrib><creatorcontrib>Kim, Jae Gwan</creatorcontrib><title>Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation</title><title>Sensors (Basel, Switzerland)</title><description>In surgeries where general anesthesia is required, the auscultation of heart and lung sounds is essential to provide information on the patient’s cardiorespiratory system. 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The designed system is lightweight and can provide noise-free heart and lung sound signals.</description><subject>Acoustics</subject><subject>Adaptive algorithms</subject><subject>Adaptive filters</subject><subject>adaptive noise canceling</subject><subject>Algorithms</subject><subject>Anesthesia</subject><subject>Approximation</subject><subject>Background noise</subject><subject>Catheters</subject><subject>digital esophageal stethoscope</subject><subject>esophageal catheter</subject><subject>Esophagus</subject><subject>Heart</subject><subject>least mean square</subject><subject>Lungs</subject><subject>Noise</subject><subject>Noise levels</subject><subject>Noise reduction</subject><subject>Polydimethylsiloxane</subject><subject>Porous materials</subject><subject>SIMULINK</subject><subject>Sound</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1v1DAQhiNERUvhwD-wxAUOC_6YOPYFqVr1S1rKofRszcbOrlfZONhOUf99nW5VUQ6WR-PXz8y8mqr6xOg3ITT9njjjVDZ186Y6YcBhoTinb_-Jj6v3Ke0o5UII9a46FiB1raU6qfDKYcwEB0tW07Aht2Eq4U-HaYpu74ZM7pIveRzIeQrjFjcOe3KbXd6G1IbRkb8-b8mZxTH7e0dugk-OLHFoXd9j9mH4UB112Cf38fk-re4uzn8vrxarX5fXy7PVogWQeSG7jkvJKIjSJLOsaTlbW20RGHOMrbsyomYdgIJOUQmyBigfXEcVKsmlOK2uD1wbcGfG6PcYH0xAb54SIW5MmdS3vTO6BiEQGmC2gdqusZVcWyUVh1JB0sL6cWCN03rvbFt8iNi_gr5-GfzWbMK9UTVQrWfAl2dADH8ml7LZ-_RkyeDClAyvlQTQgs_Sz_9Jd2GKQ7FqVkEty5lVXw-qNoaUoutemmHUzEtgXpZAPAL30KA2</recordid><startdate>20211012</startdate><enddate>20211012</enddate><creator>Mohamed, Nourelhuda</creator><creator>Kim, Hyun-Seok</creator><creator>Kang, Kyu-Min</creator><creator>Mohamed, Manal</creator><creator>Kim, Sung-Hoon</creator><creator>Kim, Jae Gwan</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1010-7712</orcidid></search><sort><creationdate>20211012</creationdate><title>Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation</title><author>Mohamed, Nourelhuda ; Kim, Hyun-Seok ; Kang, Kyu-Min ; Mohamed, Manal ; Kim, Sung-Hoon ; Kim, Jae Gwan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-6ff26610432331d17c21bd9da411e11bf12091f4484f80646544266ef08a86263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acoustics</topic><topic>Adaptive algorithms</topic><topic>Adaptive filters</topic><topic>adaptive noise canceling</topic><topic>Algorithms</topic><topic>Anesthesia</topic><topic>Approximation</topic><topic>Background noise</topic><topic>Catheters</topic><topic>digital esophageal stethoscope</topic><topic>esophageal catheter</topic><topic>Esophagus</topic><topic>Heart</topic><topic>least mean square</topic><topic>Lungs</topic><topic>Noise</topic><topic>Noise levels</topic><topic>Noise reduction</topic><topic>Polydimethylsiloxane</topic><topic>Porous materials</topic><topic>SIMULINK</topic><topic>Sound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohamed, Nourelhuda</creatorcontrib><creatorcontrib>Kim, Hyun-Seok</creatorcontrib><creatorcontrib>Kang, Kyu-Min</creatorcontrib><creatorcontrib>Mohamed, Manal</creatorcontrib><creatorcontrib>Kim, Sung-Hoon</creatorcontrib><creatorcontrib>Kim, Jae Gwan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohamed, Nourelhuda</au><au>Kim, Hyun-Seok</au><au>Kang, Kyu-Min</au><au>Mohamed, Manal</au><au>Kim, Sung-Hoon</au><au>Kim, Jae Gwan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><date>2021-10-12</date><risdate>2021</risdate><volume>21</volume><issue>20</issue><spage>6757</spage><pages>6757-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>In surgeries where general anesthesia is required, the auscultation of heart and lung sounds is essential to provide information on the patient’s cardiorespiratory system. 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subjects | Acoustics Adaptive algorithms Adaptive filters adaptive noise canceling Algorithms Anesthesia Approximation Background noise Catheters digital esophageal stethoscope esophageal catheter Esophagus Heart least mean square Lungs Noise Noise levels Noise reduction Polydimethylsiloxane Porous materials SIMULINK Sound |
title | Heart and Lung Sound Measurement Using an Esophageal Stethoscope with Adaptive Noise Cancellation |
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