Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement

Lorenz Grünerbel, Ferdinand Heinrich, Oliver Zett, Kristjan Axelsson, Maximilian Schumann

2023

Abstract

First responders often reach their limit when they have to find and triage dozens of victims in a mass-casualty incident. However, a delay in treatment directly affects the survival chances of seriously injured people. A method to reduce the time for the prehospital triage could potentially save lives. Hence, this work outlines the conceptual development of an intelligent bracelet that semi-automates the prehospital triage. This bracelet is supposed to enable non-professional first responders to help with the triage, which maximises the utilisation of man power at a mass-casualty incident. The bracelet should automate the part of the triage that is based on vital, position and movement data and it should guide through the necessary patient interactions. As a step towards this goal, this work proposes a semi-automated triage algorithm that is based on mSTaRT. One of the challenges to implement this concept is to measure the blood pressure with a small and easy to attach system. Therefore, this work presents a wrist worn oscillometric blood pressure measurement prototype. Furthermore, we discuss the use of machine learning methods to forecast triage level changes.

Paper Citation

in Harvard Style

Grünerbel L., Heinrich F., Zett O., Axelsson K. and Schumann M. (2023). Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES; ISBN 978-989-758-631-6, SciTePress, pages 169-176. DOI: 10.5220/0011746200003414

in Bibtex Style

@conference{biodevices23,
author={Lorenz Grünerbel and Ferdinand Heinrich and Oliver Zett and Kristjan Axelsson and Maximilian Schumann},
title={Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES},
year={2023},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011746200003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES
TI - Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement
SN - 978-989-758-631-6
AU - Grünerbel L.
AU - Heinrich F.
AU - Zett O.
AU - Axelsson K.
AU - Schumann M.
PY - 2023
SP - 169
EP - 176
DO - 10.5220/0011746200003414
PB - SciTePress