An Occlusion Detection System for Intravenous Infusion
Infusion pumps play a pivotal role in the medical field, ensuring the continuous and precisely controlled delivery of medications or nutrients. However, occlusions in the intravenous lines (IV lines) pose significant hurdles for infusion pump employment, which impact treatment effectiveness and even...
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Veröffentlicht in: | IEEE sensors journal 2023-11, Vol.23 (21), p.25779-25788 |
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creator | Zhou, Lianqiao Li, Qinlan Wang, Liyang Wang, Mengjie Li, Longfei Ding, Bo Bao, Shengwen Wang, Shugang Xiao, Xiaobing Cui, Jingqiang Wang, Guosheng Liu, Chong Su, Yewang |
description | Infusion pumps play a pivotal role in the medical field, ensuring the continuous and precisely controlled delivery of medications or nutrients. However, occlusions in the intravenous lines (IV lines) pose significant hurdles for infusion pump employment, which impact treatment effectiveness and even endanger patients' lives. The conventional methods for detecting occlusions in IV lines do not simultaneously meet the requirements for noninvasiveness, high accuracy, and high consistency. Here, we report a design for a pressure waveform sensor (PWS) with a waveform-based recognition method to detect IV lines occlusions. To overcome the technical challenges, several attempts including the double-clamped beam structure and the waveform template matching algorithm (WTMA) are exploited in this work. The mechanical and electrical characteristics of the PWS are verified by theoretical analysis, numerical analysis, and experiments. Finally, the PWS with the WTMA is validated in commercial electrical infusion pumps, demonstrating no false positive alarms (FPAs) observed among a total injection volume of 80000 mL across ten infusion pumps with 50 infusion bags. The result underscores the tremendous potential of the system for IV lines occlusion detection. |
doi_str_mv | 10.1109/JSEN.2023.3317074 |
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However, occlusions in the intravenous lines (IV lines) pose significant hurdles for infusion pump employment, which impact treatment effectiveness and even endanger patients' lives. The conventional methods for detecting occlusions in IV lines do not simultaneously meet the requirements for noninvasiveness, high accuracy, and high consistency. Here, we report a design for a pressure waveform sensor (PWS) with a waveform-based recognition method to detect IV lines occlusions. To overcome the technical challenges, several attempts including the double-clamped beam structure and the waveform template matching algorithm (WTMA) are exploited in this work. The mechanical and electrical characteristics of the PWS are verified by theoretical analysis, numerical analysis, and experiments. Finally, the PWS with the WTMA is validated in commercial electrical infusion pumps, demonstrating no false positive alarms (FPAs) observed among a total injection volume of 80000 mL across ten infusion pumps with 50 infusion bags. The result underscores the tremendous potential of the system for IV lines occlusion detection.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2023.3317074</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Catheters ; Deformation ; High consistency ; Hydraulic systems ; Infusion pumps ; Intravenous infusion ; intravenous lines (IV lines) occlusions ; Numerical analysis ; Nutrients ; Occlusion ; pressure sensors ; Pumps ; Sensors ; Strain ; Strain measurement ; Substrates ; Template matching ; waveform-based recognition method ; Waveforms</subject><ispartof>IEEE sensors journal, 2023-11, Vol.23 (21), p.25779-25788</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c246t-94994f950ccb6776999e0b6588e1b43a2a21e3b2ab6e9f14e951e1d642cef3da3</cites><orcidid>0000-0002-5961-0490 ; 0000-0001-8206-4283 ; 0000-0001-6566-982X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10262236$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10262236$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhou, Lianqiao</creatorcontrib><creatorcontrib>Li, Qinlan</creatorcontrib><creatorcontrib>Wang, Liyang</creatorcontrib><creatorcontrib>Wang, Mengjie</creatorcontrib><creatorcontrib>Li, Longfei</creatorcontrib><creatorcontrib>Ding, Bo</creatorcontrib><creatorcontrib>Bao, Shengwen</creatorcontrib><creatorcontrib>Wang, Shugang</creatorcontrib><creatorcontrib>Xiao, Xiaobing</creatorcontrib><creatorcontrib>Cui, Jingqiang</creatorcontrib><creatorcontrib>Wang, Guosheng</creatorcontrib><creatorcontrib>Liu, Chong</creatorcontrib><creatorcontrib>Su, Yewang</creatorcontrib><title>An Occlusion Detection System for Intravenous Infusion</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Infusion pumps play a pivotal role in the medical field, ensuring the continuous and precisely controlled delivery of medications or nutrients. However, occlusions in the intravenous lines (IV lines) pose significant hurdles for infusion pump employment, which impact treatment effectiveness and even endanger patients' lives. The conventional methods for detecting occlusions in IV lines do not simultaneously meet the requirements for noninvasiveness, high accuracy, and high consistency. Here, we report a design for a pressure waveform sensor (PWS) with a waveform-based recognition method to detect IV lines occlusions. To overcome the technical challenges, several attempts including the double-clamped beam structure and the waveform template matching algorithm (WTMA) are exploited in this work. The mechanical and electrical characteristics of the PWS are verified by theoretical analysis, numerical analysis, and experiments. Finally, the PWS with the WTMA is validated in commercial electrical infusion pumps, demonstrating no false positive alarms (FPAs) observed among a total injection volume of 80000 mL across ten infusion pumps with 50 infusion bags. The result underscores the tremendous potential of the system for IV lines occlusion detection.</description><subject>Algorithms</subject><subject>Catheters</subject><subject>Deformation</subject><subject>High consistency</subject><subject>Hydraulic systems</subject><subject>Infusion pumps</subject><subject>Intravenous infusion</subject><subject>intravenous lines (IV lines) occlusions</subject><subject>Numerical analysis</subject><subject>Nutrients</subject><subject>Occlusion</subject><subject>pressure sensors</subject><subject>Pumps</subject><subject>Sensors</subject><subject>Strain</subject><subject>Strain measurement</subject><subject>Substrates</subject><subject>Template matching</subject><subject>waveform-based recognition method</subject><subject>Waveforms</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1LAzEURYMoWKs_QHAx4HpqXpLJx7LUVivFLqrgLmTSF2hpZ2oyI_TfO2O7cPXu4tz74BByD3QEQM3T22r6PmKU8RHnoKgSF2QARaFzUEJf9pnTXHD1dU1uUtpSCkYVakDkuMqW3u_atKmr7Bkb9E2fVsfU4D4LdczmVRPdD1Z1m7oc_shbchXcLuHd-Q7J52z6MXnNF8uX-WS8yD0TssmNMEYEU1DvS6mUNMYgLWWhNUIpuGOOAfKSuVKiCSDQFICwloJ5DHzt-JA8nnYPsf5uMTV2W7ex6l5aprXQxoDSHQUnysc6pYjBHuJm7-LRArW9Htvrsb0ee9bTdR5OnQ0i_uOZZIxL_guDPmBb</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Zhou, Lianqiao</creator><creator>Li, Qinlan</creator><creator>Wang, Liyang</creator><creator>Wang, Mengjie</creator><creator>Li, Longfei</creator><creator>Ding, Bo</creator><creator>Bao, Shengwen</creator><creator>Wang, Shugang</creator><creator>Xiao, Xiaobing</creator><creator>Cui, Jingqiang</creator><creator>Wang, Guosheng</creator><creator>Liu, Chong</creator><creator>Su, Yewang</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>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-5961-0490</orcidid><orcidid>https://orcid.org/0000-0001-8206-4283</orcidid><orcidid>https://orcid.org/0000-0001-6566-982X</orcidid></search><sort><creationdate>20231101</creationdate><title>An Occlusion Detection System for Intravenous Infusion</title><author>Zhou, Lianqiao ; Li, Qinlan ; Wang, Liyang ; Wang, Mengjie ; Li, Longfei ; Ding, Bo ; Bao, Shengwen ; Wang, Shugang ; Xiao, Xiaobing ; Cui, Jingqiang ; Wang, Guosheng ; Liu, Chong ; Su, Yewang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-94994f950ccb6776999e0b6588e1b43a2a21e3b2ab6e9f14e951e1d642cef3da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Catheters</topic><topic>Deformation</topic><topic>High consistency</topic><topic>Hydraulic systems</topic><topic>Infusion pumps</topic><topic>Intravenous infusion</topic><topic>intravenous lines (IV lines) occlusions</topic><topic>Numerical analysis</topic><topic>Nutrients</topic><topic>Occlusion</topic><topic>pressure sensors</topic><topic>Pumps</topic><topic>Sensors</topic><topic>Strain</topic><topic>Strain measurement</topic><topic>Substrates</topic><topic>Template matching</topic><topic>waveform-based recognition method</topic><topic>Waveforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Lianqiao</creatorcontrib><creatorcontrib>Li, Qinlan</creatorcontrib><creatorcontrib>Wang, Liyang</creatorcontrib><creatorcontrib>Wang, Mengjie</creatorcontrib><creatorcontrib>Li, Longfei</creatorcontrib><creatorcontrib>Ding, Bo</creatorcontrib><creatorcontrib>Bao, Shengwen</creatorcontrib><creatorcontrib>Wang, Shugang</creatorcontrib><creatorcontrib>Xiao, Xiaobing</creatorcontrib><creatorcontrib>Cui, Jingqiang</creatorcontrib><creatorcontrib>Wang, Guosheng</creatorcontrib><creatorcontrib>Liu, Chong</creatorcontrib><creatorcontrib>Su, Yewang</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>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhou, Lianqiao</au><au>Li, Qinlan</au><au>Wang, Liyang</au><au>Wang, Mengjie</au><au>Li, Longfei</au><au>Ding, Bo</au><au>Bao, Shengwen</au><au>Wang, Shugang</au><au>Xiao, Xiaobing</au><au>Cui, Jingqiang</au><au>Wang, Guosheng</au><au>Liu, Chong</au><au>Su, Yewang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Occlusion Detection System for Intravenous Infusion</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>23</volume><issue>21</issue><spage>25779</spage><epage>25788</epage><pages>25779-25788</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Infusion pumps play a pivotal role in the medical field, ensuring the continuous and precisely controlled delivery of medications or nutrients. However, occlusions in the intravenous lines (IV lines) pose significant hurdles for infusion pump employment, which impact treatment effectiveness and even endanger patients' lives. The conventional methods for detecting occlusions in IV lines do not simultaneously meet the requirements for noninvasiveness, high accuracy, and high consistency. Here, we report a design for a pressure waveform sensor (PWS) with a waveform-based recognition method to detect IV lines occlusions. To overcome the technical challenges, several attempts including the double-clamped beam structure and the waveform template matching algorithm (WTMA) are exploited in this work. The mechanical and electrical characteristics of the PWS are verified by theoretical analysis, numerical analysis, and experiments. Finally, the PWS with the WTMA is validated in commercial electrical infusion pumps, demonstrating no false positive alarms (FPAs) observed among a total injection volume of 80000 mL across ten infusion pumps with 50 infusion bags. The result underscores the tremendous potential of the system for IV lines occlusion detection.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2023.3317074</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5961-0490</orcidid><orcidid>https://orcid.org/0000-0001-8206-4283</orcidid><orcidid>https://orcid.org/0000-0001-6566-982X</orcidid></addata></record> |
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subjects | Algorithms Catheters Deformation High consistency Hydraulic systems Infusion pumps Intravenous infusion intravenous lines (IV lines) occlusions Numerical analysis Nutrients Occlusion pressure sensors Pumps Sensors Strain Strain measurement Substrates Template matching waveform-based recognition method Waveforms |
title | An Occlusion Detection System for Intravenous Infusion |
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