demonstration

A sensor-fusion approach system for detecting early extravasation of infant intravenous infusion: demo abstract

Authors:

Jheng-Sing Lin,

Che-Wei Kuo,

Wei-Chen Huang,

Huang-Chen LeeAuthors Info & Claims

IPSN '19: Proceedings of the 18th International Conference on Information Processing in Sensor Networks

Pages 344 - 345

https://doi.org/10.1145/3302506.3312485

Published: 16 April 2019 Publication History

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Abstract

Extravasation is a common hazard in intravenous (IV) therapy; especially infants aged 0--2 years old are at high risk. However, in clinical practice, nursing staff are responsible for checking the injection status regularly, which leads to the risk of delayed treatment of extravasation of IV therapy in children. In this study, we propose a sensor-fusion sensing system to detect the early signs of extravasation. Sensor fusion compensates for the limitation of using a single sensor, extends the measurement range, and is more resistant to environmental interference. We design an experimental platform to simulate the occurrence of extravasation and, through this demonstration, show the advantages and feasibility of the proposed concept of using hybrid sensors.

Reference

[1]

M. M. Baharestani, "An overview of neonatal and pediatric wound care knowledge and consideration," Ostomy Wound Management, vol. 53, no. 6, pp. 34--55, 2007.

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Cited By

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Hirata IMazzotta AMakvandi PCesini IBrioschi CFerraris AMattoli V(2023)Sensing Technologies for Extravasation Detection: A ReviewACS Sensors10.1021/acssensors.2c026028:3(1017-1032)Online publication date: 13-Mar-2023
https://doi.org/10.1021/acssensors.2c02602
Lee HLin J(2021)An Open-Source Wearable Sensor System for Detecting Extravasation of Intravenous InfusionIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2020.302539470(1-11)Online publication date: 2021
https://doi.org/10.1109/TIM.2020.3025394
Yadav SManohar MJeba Shiney OPriestly Shan BDas G(2021)A Smart System for Monitoring Flow in Drip Bottles in HealthcareFuturistic Communication and Network Technologies10.1007/978-981-16-4625-6_66(663-669)Online publication date: 12-Oct-2021
https://doi.org/10.1007/978-981-16-4625-6_66

Index Terms

A sensor-fusion approach system for detecting early extravasation of infant intravenous infusion: demo abstract
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensors and actuators

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Information & Contributors

Information

Published In

IPSN '19: Proceedings of the 18th International Conference on Information Processing in Sensor Networks

April 2019

365 pages

ISBN:9781450362849

DOI:10.1145/3302506

General Chair:
Rasit Eskicioglu
University of Manitoba, Canada
,
Program Chairs:
Luca Mottola
Politecnico di Milano, Italy
,
Bodhi Priyantha
Microsoft Research

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

IEEE-SPS: Signal Processing Society

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2019

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Demonstration

Conference

IPSN '19

Sponsor:

SIGBED

IPSN '19: The 18th International Conference on Information Processing in Sensor Networks

April 16 - 18, 2019

Quebec, Montreal, Canada

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IPSN '19 Paper Acceptance Rate 25 of 91 submissions, 27%;

Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

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Hirata IMazzotta AMakvandi PCesini IBrioschi CFerraris AMattoli V(2023)Sensing Technologies for Extravasation Detection: A ReviewACS Sensors10.1021/acssensors.2c026028:3(1017-1032)Online publication date: 13-Mar-2023
https://doi.org/10.1021/acssensors.2c02602
Lee HLin J(2021)An Open-Source Wearable Sensor System for Detecting Extravasation of Intravenous InfusionIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2020.302539470(1-11)Online publication date: 2021
https://doi.org/10.1109/TIM.2020.3025394
Yadav SManohar MJeba Shiney OPriestly Shan BDas G(2021)A Smart System for Monitoring Flow in Drip Bottles in HealthcareFuturistic Communication and Network Technologies10.1007/978-981-16-4625-6_66(663-669)Online publication date: 12-Oct-2021
https://doi.org/10.1007/978-981-16-4625-6_66

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