Evidence map›Paper›PMID 35459082›Full record

ArticleSensors (Basel, Switzerland)2022

Investigation of Impact of Walking Speed on Forces Acting on a Foot-Ground Unit.

Barbara Jasiewicz, Ewa Klimiec, Piotr Guzdek, Grzegorz Kołaszczyński, Jacek Piekarski, Krzysztof Zaraska, Tomasz Potaczek

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Article
  2. 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.

Barbara JasiewiczDepartment of Orthopedics and Rehabilitation, Medical College, Jagiellonian University, Balzera 15, 34-500 Zakopane, Poland.
Ewa KlimiecŁukasiewicz Research Network-Institute of Microelectronics and Photonics, Kraków Division, Zablocie 39, 30-701 Krakow, Poland.
Piotr GuzdekŁukasiewicz Research Network-Institute of Microelectronics and Photonics, Kraków Division, Zablocie 39, 30-701 Krakow, Poland.
Grzegorz KołaszczyńskiŁukasiewicz Research Network-Institute of Microelectronics and Photonics, Kraków Division, Zablocie 39, 30-701 Krakow, Poland.
Jacek PiekarskiŁukasiewicz Research Network-Institute of Microelectronics and Photonics, Kraków Division, Zablocie 39, 30-701 Krakow, Poland.
Krzysztof ZaraskaŁukasiewicz Research Network-Institute of Microelectronics and Photonics, Kraków Division, Zablocie 39, 30-701 Krakow, Poland.ORCID 0000-0003-2298-7320
Tomasz PotaczekDepartment of Orthopedics and Rehabilitation, Medical College, Jagiellonian University, Balzera 15, 34-500 Zakopane, Poland.ORCID 0000-0001-9019-8644

Funding

National Centre for Research and Development POIR.04.01.04-00-0034/19-00
6 · The paper itself

Abstract

Static and dynamic methods can be used to assess the way a foot is loaded. The research question is how the pressure on the feet would vary depending on walking/running speed. This study involved 20 healthy volunteers. Dynamic measurement of foot pressure was performed using the Ortopiezometr at normal, slow, and fast paces of walking. Obtained data underwent analysis in a "Steps" program. Based on the median, the power generated by the sensors during the entire stride period is the highest during a fast walk, whereas based on the average; a walk or slow walk prevails. During a fast walk, the difference between the mean and the median of the stride period is the smallest. Regardless of the pace of gait, the energy released per unit time does not depend on the paces of the volunteers' gaits. Conclusions: Ortopiezometr is a feasible tool for the dynamic measurement of foot pressure. For investigations on walking motions, the plantar pressure analysis system, which uses the power generated on sensors installed in the insoles of shoes, is an alternative to force or energy measurements. Regardless of the pace of the walk, the amounts of pressure applied to the foot during step are similar among healthy volunteers.

Indexed as

FootWalking SpeedBiomechanical PhenomenaGaitHealthy VolunteersHumansShoesWalkingbiomedical engineeringfootgaitpedobarographypiezoelectric sensors

Identifiers

PMID35459082
PMCPMC9028688

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.