Evidence map›Paper›PMID 34203571›Full record

ArticleSensors (Basel, Switzerland)2021

Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings.

Daniel Kelly, Karla Muñoz Esquivel, James Gillespie, Joan Condell, Richard Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, John Barton and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Article
  7. State-of-the-Art Sensors Research in Ireland.Sensors (Basel, Switzerland) · 2022
    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

12 authors at 4 institutions in 4 countries.

Daniel KellyFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.
Karla Muñoz EsquivelFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.ORCID 0000-0002-4420-5847
James GillespieFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.
Joan CondellFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.ORCID 0000-0002-3517-2182
Richard DaviesFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.ORCID 0000-0002-2663-3979
Shvan KarimFaculty of Computing, Engineering, and the Built Environment, Ulster University, Londonderry BT48 7JL, UK.
Elina NevalaDepartment of Physiotherapy, Karelia University of Applied Sciences, Tikkarinne 9, FI-80200 Joensuu, Finland.
Antti AlamäkiDepartment of Physiotherapy, Karelia University of Applied Sciences, Tikkarinne 9, FI-80200 Joensuu, Finland.
Juha JalovaaraDepartment of Physiotherapy, Karelia University of Applied Sciences, Tikkarinne 9, FI-80200 Joensuu, Finland.
John BartonWireless Sensors Network Group, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0002-0671-5678
Salvatore TedescoWireless Sensors Network Group, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0002-7752-2240
Anna NordströmDepartment of Public Health and Clinical Medicine, Umeå University, SE-901 87 Umeå, Sweden.
University of Ulster · GBKarelia University of Applied Sciences · FIUniversity College Cork · IEUmeå University · SE

Funding

NPA 2014-2020 95
6 · The paper itself

Abstract

The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation. However, it is vital that human factors, that have potential to affect real-world use, are fully considered before sensors are adopted into remote rehabilitation practice. The smart sensor devices for rehabilitation and connected health (SENDoc) project assesses the human factors associated with sensors for remote rehabilitation of elders in the Northern Periphery of Europe. This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation settings. The main factors that must be considered are: Deployment constraints, usability, comfort and accuracy. This article shows that improving accuracy, reliability and validity is the main goal of research focusing on developing novel balance assessment technology. However, other aspects of usability related to human factors such as practicality, comfort and ease of use need further consideration by researchers to help advance the technology to a state where it can be applied in remote rehabilitation settings.

Indexed as

Remote Sensing TechnologyTechnologyAgedEuropeFeasibility StudiesHumansReproducibility of Resultsaccuracybalanceclinical diagnosisrehabilitationremote sensingsensor systemswearable sensors

Identifiers

PMID34203571
PMCPMC8272234
OpenAlexW3176138593

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.