Evidence map›Paper›PMID 39860865›Full record

ArticleSensors (Basel, Switzerland)2025

A Magnetoelectric Distance Estimation System for Relative Human Motion Tracking.

Johannes Hoffmann, Henrik Wolframm, Erik Engelhardt, Moritz Boueke, Tobias Schmidt, Julius Welzel, Michael Höft, Walter Maetzler, Gerhard Schmidt

Abstract read
PubMed Full text at PMC Publisher
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

9 authors.

Johannes HoffmannDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany.ORCID 0000-0001-8170-8147
Henrik WolframmDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany.ORCID 0000-0003-4333-576X
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
Tobias SchmidtDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany.ORCID 0009-0005-1194-5469
Julius WelzelDepartment of Neurology, Kiel University, 24105 Kiel, Germany.ORCID 0000-0001-8958-0934
Michael HöftDepartment of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany.ORCID 0000-0001-9352-2868
Walter MaetzlerDepartment of Neurology, 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

Clinical motion analysis plays an important role in the diagnosis and treatment of mobility-limiting diseases. Within this assessment, relative (point-to-point) tracking of extremities could benefit from increased accuracy. Given the limitations of current wearable sensor technology, supplementary spatial data such as distance estimates could provide added value. Therefore, we propose a distributed magnetic tracking system based on early-stage demonstrators of novel magnetoelectric (ME) sensors. The system consists of two body-worn magnetic actuators and four ME sensor arrays (body-worn and fixed). It is enabled by a comprehensive signal processing framework with sensor-specific signal enhancement and a gradient descent-based system calibration. As a pilot study, we evaluated the technical feasibility of the described system for motion tracking in general (Scenario A) and for operation during treadmill walking (Scenario B). At distances of up to 60 cm, we achieved a mean absolute distance error of 0.4 cm during gait experiments. Our results show that the modular system is capable of centimeter-level motion tracking of the lower extremities during treadmill walking and should therefore be investigated for clinical gait parameter assessment.

Indexed as

Motion CaptureGaitHumansMotionMovementPilot ProjectsSignal Processing, Computer-AssistedWalkingWearable Electronic Devicesdigital signal processinggait analysismagnetic motion trackingmagnetoelectric sensortechnical validation

Identifiers

PMID39860865
PMCPMC11768914

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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.