Evidence map›Paper›PMID 39275509›Full record

ArticleSensors (Basel, Switzerland)2024

Sensor-Based Gait and Balance Assessment in Healthy Adults: Analysis of Short-Term Training and Sensor Placement Effects.

Clara Rentz, Vera Kaiser, Naomi Jung, Berwin A Turlach, Mehran Sahandi Far, Jutta Peterburs, Maik Boltes, Alfons Schnitzler, Katrin Amunts, Juergen Dukart and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Trial
  2. Review
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

11 authors.

Clara RentzInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0001-6636-2184
Vera KaiserInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.
Naomi JungInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.
Berwin A TurlachCentre for Applied Statistics, The University of Western Australia, Perth, WA 6000, Australia.ORCID 0000-0001-8795-471X
Mehran Sahandi FarInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0002-5311-8286
Jutta PeterbursFaculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0003-3571-126X
Maik BoltesInstitute for Advanced Simulation (IAS-7), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0001-7240-896X
Alfons SchnitzlerDepartment of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0002-6414-7939
Katrin AmuntsInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0001-5828-0867
Juergen DukartInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0003-0492-5644
Martina MinneropInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.ORCID 0000-0003-1365-5236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the analysis of gait and balance can be an important indicator of age- or disease-related changes, it remains unclear if repeated performance of gait and balance tests in healthy adults leads to habituation effects, if short-term gait and balance training can improve gait and balance performance, and whether the placement of wearable sensors influences the measurement accuracy. Healthy adults were assessed before and after performing weekly gait and balance tests over three weeks by using a force plate, motion capturing system and smartphone. The intervention group (n = 25) additionally received a home-based gait and balance training plan. Another sample of healthy adults (n = 32) was assessed once to analyze the impact of sensor placement (lower back vs. lower abdomen) on gait and balance analysis. Both the control and intervention group exhibited improvements in gait/stance. However, the trends over time were similar for both groups, suggesting that targeted training and repeated task performance equally contributed to the improvement of the measured variables. Since no significant differences were found in sensor placement, we suggest that a smartphone used as a wearable sensor could be worn both on the lower abdomen and the lower back in gait and balance analyses.

Indexed as

GaitPostural BalanceSmartphoneWearable Electronic DevicesAdultFemaleHealthy VolunteersHumansMaleYoung Adultbalancegaithabituation effectshome-basedIMUmotion capturingsensor placementsmartphonetrainingwearables

Identifiers

PMID39275509
PMCPMC11397791

What OpenQuestion holds

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LicenceCC BY
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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.