Evidence map›Paper›PMID 39065986›Full record

ReviewSensors (Basel, Switzerland)2024

A Framework for Selecting and Assessing Wearable Sensors Deployed in Safety Critical Scenarios.

Robert Houghton, Alberto Martinetti, Arnab Majumdar

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Flatland Metasurfaces for Optical Gas Sensing.Sensors (Basel, Switzerland) · 2026
    Review
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

3 authors.

Robert HoughtonCentre for Transport Studies, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-6891-6782
Alberto MartinettiDesign, Production and Management Department, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0002-9633-1431
Arnab MajumdarCentre for Transport Studies, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-6332-7858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors for psychophysiological monitoring are becoming increasingly mainstream in safety critical contexts. They offer a novel solution to capturing sub-optimal states and can help identify when workers in safety critical environments are suffering from states such as fatigue and stress. However, sensors can differ widely in their application, design, usability, and measurement and there is a lack of guidance on what should be prioritized or considered when selecting a sensor. The paper aims to highlight which concepts are important when creating or selecting a device regarding the optimization of both measurement and usability. Additionally, the paper discusses how design choices can enhance both the usability and measurement capabilities of wearable sensors. The hopes are that this paper will provide researchers and practitioners in human factors and related fields with a framework to help guide them in building and selecting wearable sensors that are well suited for deployment in safety critical contexts.

Indexed as

Wearable Electronic DevicesEquipment DesignHumansMonitoring, PhysiologicSafetydesignpsychophysiologysafety criticalusabilitywearable sensors

Identifiers

PMID39065986
PMCPMC11280513

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.