Evidence map›Paper›PMID 40968898›Full record

ArticleSensors (Basel, Switzerland)2025

Pilot Study: Step Width Estimation with Body-Worn Magnetoelectric Sensors.

Johannes Hoffmann, Erik Engelhardt, Moritz Boueke, Julius Welzel, Clint Hansen, Walter Maetzler, Gerhard Schmidt

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Johannes HoffmannDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel , Germany.ORCID 0000-0001-8170-8147
Erik EngelhardtDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel , Germany.ORCID 0000-0002-7012-7707
Moritz BouekeDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel , Germany.ORCID 0009-0002-7287-6397
Julius WelzelDepartment of Neurology, University Hospital Schleswig-Holstein Campus Kiel and Kiel University, 24105 Kiel, Germany.ORCID 0000-0001-8958-0934
Clint HansenDepartment of Neurology, University Hospital Schleswig-Holstein Campus Kiel and Kiel University, 24105 Kiel, Germany.ORCID 0000-0003-4813-3868
Walter MaetzlerDepartment of Neurology, University Hospital Schleswig-Holstein Campus Kiel and Kiel University, 24105 Kiel, Germany.ORCID 0000-0002-5945-4694
Gerhard SchmidtDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel , Germany.ORCID 0000-0002-6128-4831

Funding

Deutsche Forschungsgemeinschaft 286471992
6 · The paper itself

Abstract

Step width is an important clinical motor marker for gait stability assessment. While laboratory-based systems can measure it with high accuracy, wearable solutions based on inertial measurement units do not directly provide spatial information such as distances. Therefore, we propose a magnetic estimation approach based on a pair of shank-worn magnetoelectric (ME) sensors. In this pilot study, we estimated the step width of eight healthy participants during treadmill walking and compared it to an optical motion capture (OMC) reference. In a direct comparison with OMC markers attached to the magnetic system, we achieved a high estimation accuracy in terms of the mean absolute error (MAE) for step width (≤1 cm) and step width variability (<0.1 cm). In a more general comparison with heel-mounted markers during the swing phase, the standard deviation of the error (<0.5 cm, measure for precision), the step width variability estimation MAE (<0.2 cm) and the Spearman correlation (>0.88) of individual feet were still encouraging, but the accuracy was negatively affected by a constant proxy bias (3.7 and 4.6 cm) due to the different anatomical reference points used in each method. The high accuracy of the system in the first case and the high precision in the second case underline the potential of magnetic motion tracking for gait stability assessment in wearable movement analysis.

Indexed as

GaitWalkingWearable Electronic DevicesAdultFemaleHumansMalePilot ProjectsYoung Adultgait analysisgait variabilitymagnetic motion trackingmagnetoelectric sensortechnical validation

Identifiers

PMID40968898
PMCPMC12158074

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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.