Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients
Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-...
Gespeichert in:
Veröffentlicht in: | IEEE robotics and automation letters 2021-07, Vol.6 (3), p.4664-4671 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4671 |
---|---|
container_issue | 3 |
container_start_page | 4664 |
container_title | IEEE robotics and automation letters |
container_volume | 6 |
creator | Tsumura, Ryosuke Hardin, John W. Bimbraw, Keshav Grossestreuer, Anne V. Odusanya, Olushola S. Zheng, Yihao Hill, Jeffrey C. Hoffmann, Beatrice Soboyejo, Winston Zhang, Haichong K. |
description | Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns surrounding LUS include the disparity of infected patients and healthcare providers, and importantly, the requirement for substantial physical contact between the patient and operator, increasing the risk of transmission. New variants of COVID-19 will continue to emerge; therefore, mitigation of the virus's spread is of paramount importance. A tele-operative robotic ultrasound platform capable of performing LUS in COVID-19 infected patients may be of significant benefit, especially in low- and middle-income countries. The authors address the issues mentioned above surrounding the use of LUS in COVID-19 infected patients and the potential for extension of this technology in a resource-limited environment. Additionally, first-time application, feasibility, and safety were validated in healthy subjects. Preliminary results demonstrate that our platform allows for the successful acquisition and application of robotic LUS in humans. |
doi_str_mv | 10.1109/LRA.2021.3068702 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_2574384312</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9385962</ieee_id><sourcerecordid>2513387323</sourcerecordid><originalsourceid>FETCH-LOGICAL-c487t-6bdba32366feb0828a672e5b1b202d77dbe609147b2aa6585bdc5cdfa14b14d3</originalsourceid><addsrcrecordid>eNpdkUtr3DAUhUVISUKafSEbQTfZeKq35E0hTPoIGCak026FZF9PFDzWVLKn9N9XYYbQdiMJ3e8e3aOD0DtKFpSS-kPzeLtghNEFJ8powk7QBeNaV1wrdfrX-Rxd5fxMCKGSaV7LM3TOheRManKB3BoGqFY7SG4Ke8BN_FUtY57wY_RxCi1u5nGDvw9TcjnOY4e_tW4cQ7l7GNzUx7TFZcHrFNwGcOzxcvXj_q6iNX4ogjBO-S1607shw9Vxv0Trz5_Wy69Vs_pyv7xtqlYYPVXKd95xxpXqwRPDjFOagfTUF4-d1p0HRWoqtGfOKWmk71rZdr2jwlPR8Uv08SC7m_0WurY8ndxgdylsXfptowv238oYnuwm7q0RgilmisDNUSDFnzPkyW5DbmEY3Ahxzrb8l-BGcMoK-v4_9DnOaSzuCkU5N7oYKRQ5UG2KOSfoX4ehxL4kaEuC9iVBe0ywtFwfWgIAvOI1N7JWjP8BkZyVPA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2513387323</pqid></control><display><type>article</type><title>Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients</title><source>IEEE Electronic Library (IEL)</source><creator>Tsumura, Ryosuke ; Hardin, John W. ; Bimbraw, Keshav ; Grossestreuer, Anne V. ; Odusanya, Olushola S. ; Zheng, Yihao ; Hill, Jeffrey C. ; Hoffmann, Beatrice ; Soboyejo, Winston ; Zhang, Haichong K.</creator><creatorcontrib>Tsumura, Ryosuke ; Hardin, John W. ; Bimbraw, Keshav ; Grossestreuer, Anne V. ; Odusanya, Olushola S. ; Zheng, Yihao ; Hill, Jeffrey C. ; Hoffmann, Beatrice ; Soboyejo, Winston ; Zhang, Haichong K.</creatorcontrib><description>Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns surrounding LUS include the disparity of infected patients and healthcare providers, and importantly, the requirement for substantial physical contact between the patient and operator, increasing the risk of transmission. New variants of COVID-19 will continue to emerge; therefore, mitigation of the virus's spread is of paramount importance. A tele-operative robotic ultrasound platform capable of performing LUS in COVID-19 infected patients may be of significant benefit, especially in low- and middle-income countries. The authors address the issues mentioned above surrounding the use of LUS in COVID-19 infected patients and the potential for extension of this technology in a resource-limited environment. Additionally, first-time application, feasibility, and safety were validated in healthy subjects. Preliminary results demonstrate that our platform allows for the successful acquisition and application of robotic LUS in humans.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2021.3068702</identifier><identifier>PMID: 34532570</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Collision avoidance ; Coronaviruses ; COVID-19 ; Disease transmission ; End effectors ; Force ; Lung ultrasound ; Lungs ; Probes ; robotic ultrasound ; Robotics ; Safety ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; teleoperation ; Ultrasonic imaging ; Ultrasound ; Viral diseases</subject><ispartof>IEEE robotics and automation letters, 2021-07, Vol.6 (3), p.4664-4671</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><rights>IEEE 2021. 2021 IEEE</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-6bdba32366feb0828a672e5b1b202d77dbe609147b2aa6585bdc5cdfa14b14d3</citedby><cites>FETCH-LOGICAL-c487t-6bdba32366feb0828a672e5b1b202d77dbe609147b2aa6585bdc5cdfa14b14d3</cites><orcidid>0000-0001-8014-0190 ; 0000-0002-1314-8456 ; 0000-0003-4110-4175</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9385962$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9385962$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tsumura, Ryosuke</creatorcontrib><creatorcontrib>Hardin, John W.</creatorcontrib><creatorcontrib>Bimbraw, Keshav</creatorcontrib><creatorcontrib>Grossestreuer, Anne V.</creatorcontrib><creatorcontrib>Odusanya, Olushola S.</creatorcontrib><creatorcontrib>Zheng, Yihao</creatorcontrib><creatorcontrib>Hill, Jeffrey C.</creatorcontrib><creatorcontrib>Hoffmann, Beatrice</creatorcontrib><creatorcontrib>Soboyejo, Winston</creatorcontrib><creatorcontrib>Zhang, Haichong K.</creatorcontrib><title>Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description>Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns surrounding LUS include the disparity of infected patients and healthcare providers, and importantly, the requirement for substantial physical contact between the patient and operator, increasing the risk of transmission. New variants of COVID-19 will continue to emerge; therefore, mitigation of the virus's spread is of paramount importance. A tele-operative robotic ultrasound platform capable of performing LUS in COVID-19 infected patients may be of significant benefit, especially in low- and middle-income countries. The authors address the issues mentioned above surrounding the use of LUS in COVID-19 infected patients and the potential for extension of this technology in a resource-limited environment. Additionally, first-time application, feasibility, and safety were validated in healthy subjects. Preliminary results demonstrate that our platform allows for the successful acquisition and application of robotic LUS in humans.</description><subject>Collision avoidance</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease transmission</subject><subject>End effectors</subject><subject>Force</subject><subject>Lung ultrasound</subject><subject>Lungs</subject><subject>Probes</subject><subject>robotic ultrasound</subject><subject>Robotics</subject><subject>Safety</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>teleoperation</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Viral diseases</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUtr3DAUhUVISUKafSEbQTfZeKq35E0hTPoIGCak026FZF9PFDzWVLKn9N9XYYbQdiMJ3e8e3aOD0DtKFpSS-kPzeLtghNEFJ8powk7QBeNaV1wrdfrX-Rxd5fxMCKGSaV7LM3TOheRManKB3BoGqFY7SG4Ke8BN_FUtY57wY_RxCi1u5nGDvw9TcjnOY4e_tW4cQ7l7GNzUx7TFZcHrFNwGcOzxcvXj_q6iNX4ogjBO-S1607shw9Vxv0Trz5_Wy69Vs_pyv7xtqlYYPVXKd95xxpXqwRPDjFOagfTUF4-d1p0HRWoqtGfOKWmk71rZdr2jwlPR8Uv08SC7m_0WurY8ndxgdylsXfptowv238oYnuwm7q0RgilmisDNUSDFnzPkyW5DbmEY3Ahxzrb8l-BGcMoK-v4_9DnOaSzuCkU5N7oYKRQ5UG2KOSfoX4ehxL4kaEuC9iVBe0ywtFwfWgIAvOI1N7JWjP8BkZyVPA</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Tsumura, Ryosuke</creator><creator>Hardin, John W.</creator><creator>Bimbraw, Keshav</creator><creator>Grossestreuer, Anne V.</creator><creator>Odusanya, Olushola S.</creator><creator>Zheng, Yihao</creator><creator>Hill, Jeffrey C.</creator><creator>Hoffmann, Beatrice</creator><creator>Soboyejo, Winston</creator><creator>Zhang, Haichong K.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8014-0190</orcidid><orcidid>https://orcid.org/0000-0002-1314-8456</orcidid><orcidid>https://orcid.org/0000-0003-4110-4175</orcidid></search><sort><creationdate>20210701</creationdate><title>Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients</title><author>Tsumura, Ryosuke ; Hardin, John W. ; Bimbraw, Keshav ; Grossestreuer, Anne V. ; Odusanya, Olushola S. ; Zheng, Yihao ; Hill, Jeffrey C. ; Hoffmann, Beatrice ; Soboyejo, Winston ; Zhang, Haichong K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-6bdba32366feb0828a672e5b1b202d77dbe609147b2aa6585bdc5cdfa14b14d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Collision avoidance</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease transmission</topic><topic>End effectors</topic><topic>Force</topic><topic>Lung ultrasound</topic><topic>Lungs</topic><topic>Probes</topic><topic>robotic ultrasound</topic><topic>Robotics</topic><topic>Safety</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>teleoperation</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tsumura, Ryosuke</creatorcontrib><creatorcontrib>Hardin, John W.</creatorcontrib><creatorcontrib>Bimbraw, Keshav</creatorcontrib><creatorcontrib>Grossestreuer, Anne V.</creatorcontrib><creatorcontrib>Odusanya, Olushola S.</creatorcontrib><creatorcontrib>Zheng, Yihao</creatorcontrib><creatorcontrib>Hill, Jeffrey C.</creatorcontrib><creatorcontrib>Hoffmann, Beatrice</creatorcontrib><creatorcontrib>Soboyejo, Winston</creatorcontrib><creatorcontrib>Zhang, Haichong K.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IEEE robotics and automation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tsumura, Ryosuke</au><au>Hardin, John W.</au><au>Bimbraw, Keshav</au><au>Grossestreuer, Anne V.</au><au>Odusanya, Olushola S.</au><au>Zheng, Yihao</au><au>Hill, Jeffrey C.</au><au>Hoffmann, Beatrice</au><au>Soboyejo, Winston</au><au>Zhang, Haichong K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients</atitle><jtitle>IEEE robotics and automation letters</jtitle><stitle>LRA</stitle><date>2021-07-01</date><risdate>2021</risdate><volume>6</volume><issue>3</issue><spage>4664</spage><epage>4671</epage><pages>4664-4671</pages><issn>2377-3766</issn><eissn>2377-3766</eissn><coden>IRALC6</coden><abstract>Novel severe acute respiratory syndrome coronavirus 2 (COVID-19) has become a pandemic of epic proportions, and global response to prepare health systems worldwide is of utmost importance. 2-dimensional (2D) lung ultrasound (LUS) has emerged as a rapid, noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns surrounding LUS include the disparity of infected patients and healthcare providers, and importantly, the requirement for substantial physical contact between the patient and operator, increasing the risk of transmission. New variants of COVID-19 will continue to emerge; therefore, mitigation of the virus's spread is of paramount importance. A tele-operative robotic ultrasound platform capable of performing LUS in COVID-19 infected patients may be of significant benefit, especially in low- and middle-income countries. The authors address the issues mentioned above surrounding the use of LUS in COVID-19 infected patients and the potential for extension of this technology in a resource-limited environment. Additionally, first-time application, feasibility, and safety were validated in healthy subjects. Preliminary results demonstrate that our platform allows for the successful acquisition and application of robotic LUS in humans.</abstract><cop>Piscataway</cop><pub>IEEE</pub><pmid>34532570</pmid><doi>10.1109/LRA.2021.3068702</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-8014-0190</orcidid><orcidid>https://orcid.org/0000-0002-1314-8456</orcidid><orcidid>https://orcid.org/0000-0003-4110-4175</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2377-3766 |
ispartof | IEEE robotics and automation letters, 2021-07, Vol.6 (3), p.4664-4671 |
issn | 2377-3766 2377-3766 |
language | eng |
recordid | cdi_proquest_miscellaneous_2574384312 |
source | IEEE Electronic Library (IEL) |
subjects | Collision avoidance Coronaviruses COVID-19 Disease transmission End effectors Force Lung ultrasound Lungs Probes robotic ultrasound Robotics Safety Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 teleoperation Ultrasonic imaging Ultrasound Viral diseases |
title | Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T01%3A56%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tele-Operative%20Low-Cost%20Robotic%20Lung%20Ultrasound%20Scanning%20Platform%20for%20Triage%20of%20COVID-19%20Patients&rft.jtitle=IEEE%20robotics%20and%20automation%20letters&rft.au=Tsumura,%20Ryosuke&rft.date=2021-07-01&rft.volume=6&rft.issue=3&rft.spage=4664&rft.epage=4671&rft.pages=4664-4671&rft.issn=2377-3766&rft.eissn=2377-3766&rft.coden=IRALC6&rft_id=info:doi/10.1109/LRA.2021.3068702&rft_dat=%3Cproquest_RIE%3E2513387323%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2513387323&rft_id=info:pmid/34532570&rft_ieee_id=9385962&rfr_iscdi=true |