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Titel: The walking surface influences vertical ground reaction force and centre of pressure data obtained with pressure-sensing insoles
VerfasserIn: Warmerdam, Elke
Burger, Lea-Marie
Mergen, Diana F.
Orth, Marcel
Pohlemann, Tim
Ganse, Bergita
Sprache: Englisch
Titel: Frontiers in Digital Health
Bandnummer: 6
Verlag/Plattform: Frontiers
Erscheinungsjahr: 2024
Freie Schlagwörter: dynamic pedography
ground reaction force
instrumented insoles
mHealth
outdoor
variability
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Background: Gait can be continuously monitored via vertical ground reaction force (VGRF) and centre of pressure (COP) measurement with pressuresensing insoles. During daily living, a variety of walking surfaces will be encountered, which could affect the collected data. These effects might need to be taken into account when analysing disease- or injury-related gait characteristics to prevent misinterpretation, especially when drawing conclusions from data obtained in clinical populations. We hypothesized characteristic changes in insole-derived VGRF and COP parameters of healthy participants when walking on different surfaces. Methods: Participants walked on flat indoor surface, flat and inclined outdoor surfaces, as well as on forest, gravel, grass, and sand surfaces while wearing pressure-sensing insoles with 16 pressure sensors each at a recording frequency of 100 Hz. Several gait parameters were extracted from the VGRF and COP data, and were compared between surfaces using repeated measures ANOVA. Results: Thirty participants were included (22 women and 7 men, age 30 ± 12 years, height 172 ± 8 cm, weight 76 ± 23 kg). VGRF and COP data were significantly influenced by the type of surface. The rmANOVA revealed significant within-subject differences between the walking surfaces in all calculated parameters. The largest changes in the VGRF and COP patterns occurred during uphill and downhill walking. Walking on compliant surfaces led to increased gait variability. The highest variability was observed when walking on sand. The change from walking indoors to outdoors, be it on flat, inclined, forest, gravel, grass or sand surfaces, was characterized by a characteristic change in the VGRF stance-phase curve. Based on these characteristic changes, it could be possible to identify whether someone is walking on a slope, as well as on non-compliant or compliant surfaces, while it is difficult to distinguish between different types of compliant surfaces. Conclusion: VGRF data are affected by the type of walking surface in healthy adults. Walking on a slope affects VGRF and COP parameters, and in addition, the compliance of the surface increases their variability. When analysing gait data measured via insoles during daily living, we recommend to correct for the surface type to decrease variability.
DOI der Erstveröffentlichung: 10.3389/fdgth.2024.1476335
URL der Erstveröffentlichung: https://doi.org/10.3389/fdgth.2024.1476335
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-436435
hdl:20.500.11880/39109
http://dx.doi.org/10.22028/D291-43643
ISSN: 2673-253X
Datum des Eintrags: 3-Dez-2024
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Material
In Beziehung stehendes Objekt: https://www.frontiersin.org/api/v3/articles/1476335/file/Data_Sheet_1.pdf/1476335_data-sheet_1/1
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Chirurgie
Professur: M - Prof. Dr. med. Bergita Ganse
M - Prof. Dr. Tim Pohlemann
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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