Evidence map›Paper›PMID 40363079›Full record

ArticleSensors (Basel, Switzerland)2025

Validation of Smartphones in Arbitrary Positions Against Force Plate Standard for Balance Assessment.

German Jack Ellsworth, Stephen M Klisch, Britta Berg-Johansen, Eric Ocegueda

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Digital Addiction and Body Balance: An Investigation of Postural Stability in Young Adults: A Cross-Sectional Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
    Article
  2. 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

4 authors.

German Jack EllsworthMechanical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Stephen M KlischMechanical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.ORCID 0000-0003-2459-2664
Britta Berg-JohansenBiomedical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.ORCID 0009-0002-3595-6996
Eric OceguedaMechanical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.ORCID 0000-0001-7845-6890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Balance assessment is a key metric for tracking the health and fall risk of individuals with balance impairment. Leveraging wearable sensors and mobile devices can increase clinical accessibility to objective balance metrics. Previous work has been conducted validating center of mass (COM) acceleration metrics from mobile devices against the gold standard force plate center of pressure (COP) position; however, most studies have been restricted to devices being placed close to the subject's COM. In this study, rigid body kinematics and the inverted pendulum model were used to develop a novel methodology for calculating COM acceleration using mobile devices in arbitrary positions, as well as an approach for conversion of COM measurements to COP position for direct validation with force plate measurements. Validation of this methodology included a direct comparison of smartphone and force plate results for COM accelerations and COP positions, as well as statistical comparisons using Spearman's rank correlation. The results show strong analysis performance for both approaches during a subject's intentional swaying, with more limited results in cases of little motion. The strong performance warrants future work to further improve accessibility by removing dependence on motion capture systems or replacing them with cost-effective alternatives. The accurate tracking of COM acceleration and COP position information for mobile devices at arbitrary positions increases the flexibility for future mobile or at-home balance assessments.

Indexed as

Postural BalanceSmartphoneAccelerationAdultBiomechanical PhenomenaFemaleHumansMaleWearable Electronic Devicesbalance assessmentcenter of masscenter of pressureforce plateinertial measurement unit (IMU)inverted pendulumrigid body kinematicssmartphonewearable sensors

Identifiers

PMID40363079
PMCPMC12073742

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.