An Occlusion Detection System for Intravenous Infusion

Lianqiao Zhou; Qinlan Li; Liyang Wang; Mengjie Wang; Longfei Li; Bo Ding; Shengwen Bao; Shugang Wang; Xiaobing Xiao; Jingqiang Cui; Guosheng Wang; Chong Liu; Yewang Su

doi:10.1109/JSEN.2023.3317074

An Occlusion Detection System for Intravenous Infusion

Lianqiao Zhou, Qinlan Li, Liyang Wang, Mengjie Wang, Longfei Li, Bo Ding, Shengwen Bao, Shugang Wang, Xiaobing Xiao, Jingqiang Cui, Guosheng Wang, Chong Liu, Yewang Su (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	25779-25788
Number of pages	10
Journal	IEEE Sensors Journal
Volume	23
Issue number	21
DOIs	https://doi.org/10.1109/JSEN.2023.3317074
Publication status	Published - 1 Nov 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2001-2012 IEEE.

Keywords

High consistency
infusion pumps
intravenous lines (IV lines) occlusions
pressure sensors
waveform-based recognition method

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10.1109/JSEN.2023.3317074

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title = "An Occlusion Detection System for Intravenous Infusion",

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.",

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author = "Lianqiao Zhou and Qinlan Li and Liyang Wang and Mengjie Wang and Longfei Li and Bo Ding and Shengwen Bao and Shugang Wang and Xiaobing Xiao and Jingqiang Cui and Guosheng Wang and Chong Liu and Yewang Su",

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doi = "10.1109/JSEN.2023.3317074",

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T1 - An Occlusion Detection System for Intravenous Infusion

AU - Zhou, Lianqiao

AU - Li, Qinlan

AU - Wang, Liyang

AU - Wang, Mengjie

AU - Li, Longfei

AU - Ding, Bo

AU - Bao, Shengwen

AU - Wang, Shugang

AU - Xiao, Xiaobing

AU - Cui, Jingqiang

AU - Wang, Guosheng

AU - Liu, Chong

AU - Su, Yewang

PY - 2023/11/1

Y1 - 2023/11/1

N2 - 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.

AB - 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.

KW - High consistency

KW - infusion pumps

KW - intravenous lines (IV lines) occlusions

KW - pressure sensors

KW - waveform-based recognition method

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DO - 10.1109/JSEN.2023.3317074

M3 - Article

AN - SCOPUS:85173379679

SN - 1530-437X

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SP - 25779

EP - 25788

JO - IEEE Sensors Journal

JF - IEEE Sensors Journal

IS - 21

ER -

An Occlusion Detection System for Intravenous Infusion

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