Evidence map›Paper›PMID 30499058›Full record

ReviewSports medicine - open2018

Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Corrin P Walmsley, Sîan A Williams, Tiffany Grisbrook, Catherine Elliott, Christine Imms, Amity Campbell

Open access · goldAbstract readReview
In one paragraph

Review in Sports medicine - open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 7 pooled it
4.7field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 7 syntheses or guidelines pooled it, 116 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Corrin P WalmsleySchool of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, WA, 6027, Australia.ORCID http://orcid.org/0000-0002-0662-8224
Sîan A WilliamsSchool of Physiotherapy and Exercise Science, Curtin University, Perth, WA, 6027, Australia.ORCID http://orcid.org/0000-0002-4907-7477
Tiffany GrisbrookSchool of Physiotherapy and Exercise Science, Curtin University, Perth, WA, 6027, Australia.ORCID http://orcid.org/0000-0001-8175-141X
Catherine ElliottSchool of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Perth, WA, 6027, Australia.ORCID http://orcid.org/0000-0002-5324-8216
Christine ImmsCentre for Disability and Development Research, School of Allied Health, Australian Catholic University, Melbourne, VIC, 3065, Australia. Christine.Imms@acu.edu.au.ORCID http://orcid.org/0000-0001-9055-3554
Amity CampbellSchool of Physiotherapy and Exercise Science, Curtin University, Perth, WA, 6027, Australia.ORCID http://orcid.org/0000-0002-6461-6280
Curtin University · AUAustralian Catholic University · AUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable sensors are portable measurement tools that are becoming increasingly popular for the measurement of joint angle in the upper limb. With many brands emerging on the market, each with variations in hardware and protocols, evidence to inform selection and application is needed. Therefore, the objectives of this review were related to the use of wearable sensors to calculate upper limb joint angle. We aimed to describe (i) the characteristics of commercial and custom wearable sensors, (ii) the populations for whom researchers have adopted wearable sensors, and (iii) their established psychometric properties.

methodsA systematic review of literature was undertaken using the following data bases: MEDLINE, EMBASE, CINAHL, Web of Science, SPORTDiscus, IEEE, and Scopus. Studies were eligible if they met the following criteria: (i) involved humans and/or robotic devices, (ii) involved the application or simulation of wearable sensors on the upper limb, and (iii) calculated a joint angle.

resultsOf 2191 records identified, 66 met the inclusion criteria. Eight studies compared wearable sensors to a robotic device and 22 studies compared to a motion analysis system. Commercial (n = 13) and custom (n = 7) wearable sensors were identified, each with variations in placement, calibration methods, and fusion algorithms, which were demonstrated to influence accuracy.

conclusionWearable sensors have potential as viable instruments for measurement of joint angle in the upper limb during active movement. Currently, customised application (i.e. calibration and angle calculation methods) is required to achieve sufficient accuracy (error <  5°). Additional research and standardisation is required to guide clinical application.

trial registrationThis systematic review was registered with PROSPERO ( CRD42017059935 ).

Indexed as

Inertial movement unitJoint angleKinematicsMotion analysisUpper limbWearable sensor

Identifiers

PMID30499058
PMCPMC6265374
OpenAlexW2902349279

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.