Evidence map›Paper›PMID 25844853›Full record

Trial reportJournal of athletic training2015

Using Accelerometer and Gyroscopic Measures to Quantify Postural Stability.

Jay L Alberts, Joshua R Hirsch, Mandy Miller Koop, David D Schindler, Daniel E Kana, Susan M Linder, Scott Campbell, Anil K Thota

Open access · bronzeAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of athletic training, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
21.4field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 109 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

8 authors at 2 institutions in 1 country.

Jay L AlbertsDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Joshua R HirschDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Mandy Miller KoopDepartment of Biomedical Engineering, Cleveland Clinic, OH;
David D SchindlerDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Daniel E KanaDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Susan M LinderDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Scott CampbellDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Anil K ThotaDepartment of Biomedical Engineering, Cleveland Clinic, OH;
Cleveland Clinic · USLouis Stokes Cleveland VA Medical Center · US

Funding

The Cyclical Lower-extremity Exercise for Parkinson's TrialR01NS073717 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI ALBERTS, JAY L. · 2011 to 2023
$4.8M
NINDS NIH HHS R01 NS073717
6 · The paper itself

Abstract

contextForce platforms and 3-dimensional motion-capture systems provide an accurate method of quantifying postural stability. Substantial cost, space, time to administer, and need for trained personnel limit widespread use of biomechanical techniques in the assessment of postural stability in clinical or field environments.

objectiveTo determine whether accelerometer and gyroscope data sampled from a consumer electronics device (iPad2) provide sufficient resolution of center-of-gravity (COG) movements to accurately quantify postural stability in healthy young people.

designControlled laboratory study.

settingResearch laboratory in an academic medical center. PATIENTS OR OTHER

participantsA total of 49 healthy individuals (age = 19.5 ± 3.1 years, height = 167.7 ± 13.2 cm, mass = 68.5 ± 17.5 kg). INTERVENTION(S): Participants completed the NeuroCom Sensory Organization Test (SOT) with an iPad2 affixed at the sacral level. MAIN OUTCOME MEASURE(S): Primary outcomes were equilibrium scores from both systems and the time series of the angular displacement of the anteroposterior COG sway during each trial. A Bland-Altman assessment for agreement was used to compare equilibrium scores produced by the NeuroCom and iPad2 devices. Limits of agreement was defined as the mean bias (NeuroCom - iPad) ± 2 standard deviations. Mean absolute percentage error and median difference between the NeuroCom and iPad2 measurements were used to evaluate how closely the real-time COG sway measured by the 2 systems tracked each other.

resultsThe limits between the 2 devices ranged from -0.5° to 0.5° in SOT condition 1 to -2.9° to 1.3° in SOT condition 5. The largest absolute value of the measurement error within the 95% confidence intervals for all conditions was 2.9°. The mean absolute percentage error analysis indicated that the iPad2 tracked NeuroCom COG with an average error ranging from 5.87% to 10.42% of the NeuroCom measurement across SOT conditions.

conclusionsThe iPad2 hardware provided data of sufficient precision and accuracy to quantify postural stability. Accuracy, portability, and affordability make using the iPad2 a reasonable approach for assessing postural stability in clinical and field environments.

Indexed as

MovementPostural BalanceAccelerometryBiomechanical PhenomenaBody HeightBody WeightFemaleHumansMaleMotionPsychomotor PerformanceTime FactorsYoung Adultbiomechanicsconcussionsmotor controlmotor function

Identifiers

PMID25844853
PMCPMC4527441
OpenAlexW2150192504

What OpenQuestion holds

Textmetadata
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.