Evidence map›Paper›PMID 37430500›Full record

ArticleSensors (Basel, Switzerland)2023

Balance Assessment Using a Smartwatch Inertial Measurement Unit with Principal Component Analysis for Anatomical Calibration.

Benjamin M Presley, Jeffrey C Sklar, Scott J Hazelwood, Britta Berg-Johansen, Stephen M Klisch

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
6.6field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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 at 1 institution in 1 country.

Benjamin M PresleyMechanical Engineering, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Jeffrey C SklarStatistics, College of Science and Mathematics, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Scott J HazelwoodMechanical Engineering, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Britta Berg-JohansenBiomedical Engineering, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.ORCID 0009-0002-3595-6996
Stephen M KlischMechanical Engineering, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.ORCID 0000-0003-2459-2664
California Polytechnic State University · US

Funding

Donald E. Bentley Center for Engineering Innovation n/a
6 · The paper itself

Abstract

Balance assessment, or posturography, tracks and prevents health complications for a variety of groups with balance impairment, including the elderly population and patients with traumatic brain injury. Wearables can revolutionize state-of-the-art posturography methods, which have recently shifted focus to clinical validation of strictly positioned inertial measurement units (IMUs) as replacements for force-plate systems. Yet, modern anatomical calibration (i.e., sensor-to-segment alignment) methods have not been utilized in inertial-based posturography studies. Functional calibration methods can replace the need for strict placement of inertial measurement units, which may be tedious or confusing for certain users. In this study, balance-related metrics from a smartwatch IMU were tested against a strictly placed IMU after using a functional calibration method. The smartwatch and strictly placed IMUs were strongly correlated in clinically relevant posturography scores (r = 0.861-0.970,

Indexed as

AccelerationBenchmarkingAgedBone PlatesCalibrationHumansPrincipal Component Analysisbalancebiomechanicscalibrationcoordinate system discoveryinertial measurement unitposturographyprincipal component analysissmartwatchwearables

Identifiers

PMID37430500
PMCPMC10222509
OpenAlexW4382771751

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.