Evidence map›Paper›PMID 34833636›Full record

ArticleSensors (Basel, Switzerland)2021

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments.

Idongesit Ekerete, Matias Garcia-Constantino, Yohanca Diaz-Skeete, Chris Nugent, James McLaughlin

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Idongesit EkereteSchool of Computing, Jordanstown Campus, Ulster University, Newtownabbey BT37 0QB, UK.ORCID 0000-0003-4072-7178
Matias Garcia-ConstantinoSchool of Computing, Jordanstown Campus, Ulster University, Newtownabbey BT37 0QB, UK.ORCID 0000-0002-3420-0532
Yohanca Diaz-SkeeteNetwellCASALA Advanced Research Centre, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland.
Chris NugentSchool of Computing, Jordanstown Campus, Ulster University, Newtownabbey BT37 0QB, UK.ORCID 0000-0003-0882-7902
James McLaughlinSchool of Engineering (NIBEC), Jordanstown Campus, Ulster University, Newtownabbey BT37 0QB, UK.

Funding

Interreg VA IVA5034
6 · The paper itself

Abstract

The ability to monitor Sprained Ankle Rehabilitation Exercises (SPAREs) in home environments can help therapists ascertain if exercises have been performed as prescribed. Whilst wearable devices have been shown to provide advantages such as high accuracy and precision during monitoring activities, disadvantages such as limited battery life and users' inability to remember to charge and wear the devices are often the challenges for their usage. In addition, video cameras, which are notable for high frame rates and granularity, are not privacy-friendly. Therefore, this paper proposes the use and fusion of privacy-friendly and Unobtrusive Sensing Solutions (USSs) for data collection and processing during SPAREs in home environments. The present work aims to monitor SPAREs such as dorsiflexion, plantarflexion, inversion, and eversion using radar and thermal sensors. The main contributions of this paper include (i) privacy-friendly monitoring of SPAREs in a home environment, (ii) fusion of SPAREs data from homogeneous and heterogeneous USSs, and (iii) analysis and comparison of results from single, homogeneous, and heterogeneous USSs. Experimental results indicated the advantages of using heterogeneous USSs and data fusion. Cluster-based analysis of data gleaned from the sensors indicated an average classification accuracy of 96.9% with Neural Network, AdaBoost, and Support Vector Machine, amongst others.

Indexed as

AnkleWearable Electronic DevicesExercise TherapyHumansMonitoring, PhysiologicRadardata fusiondata mininghome environmentinfrared thermopile arrayradar sensingsprained anklethermal sensingunobtrusive sensing

Identifiers

PMID34833636
PMCPMC8623414

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.