Evidence map›Paper›PMID 36616647›Full record

ArticleSensors (Basel, Switzerland)2022

Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human-Robot Architecture for Search and Rescue.

Pablo Vera-Ortega, Ricardo Vázquez-Martín, J J Fernandez-Lozano, Alfonso García-Cerezo, Anthony Mandow

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pablo Vera-OrtegaRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0002-8787-8160
Ricardo Vázquez-MartínRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0003-1742-6852
J J Fernandez-LozanoRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0002-8174-1331
Alfonso García-CerezoRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0003-3432-3230
Anthony MandowRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, Spain.ORCID 0000-0002-9994-6239

Funding

Ministerio de Ciencia, Innovación y Universidades PID2021-122944OB-I00Ministerio de Ciencia, Innovación y Universidades RTI2018-093421-B-I00
6 · The paper itself

Abstract

The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of health monitoring sensors suitable for detecting stress, anxiety and physical fatigue in an Internet of Cooperative Agents architecture for search and rescue (SAR) missions (SAR-IoCA), which allows remote control and communication between human and robotic agents and the mission control center. With this purpose, we performed proof-of-concept experiments with a bio-signal sensor suite worn by firefighters in two high-fidelity SAR exercises. Moreover, we conducted a survey, distributed to end-users through the Fire Brigade consortium of the Provincial Council of Málaga, in order to analyze the firefighters' opinion about biological signals monitoring while on duty. As a result of this methodology, we propose a wearable sensor suite design with the aim of providing some easy-to-wear integrated-sensor garments, which are suitable for emergency worker activity. The article offers discussion of user acceptance, performance results and learned lessons.

Indexed as

FirefightersRoboticsCommunicationHumansRescue Work5G communicationsbio-signalscloud roboticsreal-time monitoringremote sensorssearch and rescue

Identifiers

PMID36616647
PMCPMC9823914

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.