Evidence map›Paper›PMID 41221438›Full record

ArticleIEEE open journal of engineering in medicine and biology2025

Automatic Detection of Gait Perturbations With Everyday Wearable Technology.

L Feld, S Hellmers, L Schell-Majoor, J Koschate-Storm, T Zieschang, A Hein, B Kollmeier

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 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.

L FeldDepartment for Health Services Research, Assistance Systems and Medical Device TechnologyCarl von Ossietzky University 26129 Oldenburg Germany.ORCID https://orcid.org/0009-0003-1174-4478
S HellmersDepartment for Health Services Research, Assistance Systems and Medical Device TechnologyCarl von Ossietzky University 26129 Oldenburg Germany.ORCID https://orcid.org/0000-0002-1686-6752
L Schell-MajoorDepartment of Medical Physics and Acoustics, Medical Physics and Cluster of Excellence Hearing4allCarl von Ossietzky University 26129 Oldenburg Germany.
J Koschate-StormDepartment for Health Services Research, Geriatric MedicineCarl von Ossietzky University 26129 Oldenburg Germany.
T ZieschangDepartment for Health Services Research, Geriatric MedicineCarl von Ossietzky University 26129 Oldenburg Germany.
A HeinDepartment for Health Services Research, Assistance Systems and Medical Device TechnologyCarl von Ossietzky University 26129 Oldenburg Germany.
B KollmeierDepartment of Medical Physics and Acoustics, Medical Physics and Cluster of Excellence Hearing4allCarl von Ossietzky University 26129 Oldenburg Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Fall risk monitoringgait perturbation detectionhearableshearing aidswearable sensors

Identifiers

PMID41221438
PMCPMC12599889

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.