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Titel: New Parameters Based on Ground Reaction Forces for Monitoring Rehabilitation Following Tibial Fractures and Assessment of Heavily Altered Gait
VerfasserIn: Wolff, Christian
Warmerdam, Elke
Dahmen, Tim
Pohlemann, Tim
Slusallek, Philipp
Ganse, Bergita
Sprache: Englisch
Titel: Sensors
Bandnummer: 25
Heft: 8
Verlag/Plattform: MDPI
Erscheinungsjahr: 2025
Freie Schlagwörter: gait cycle
gait analysis
digital medicine
wearable
smart insole
biomechanics
DDC-Sachgruppe: 004 Informatik
610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Instrumented insoles have created opportunities for patient monitoring via longterm recordings of ground reaction forces (GRFs). As the GRF curve is altered in patients after lower-extremity fracture, parameters defined on established curve landmarks often cannot be used to monitor the early rehabilitation process. We aimed to screen several new GRF curve-based parameters for suitability and hypothesized an interrelation with days after surgery. In an observational longitudinal study, data were collected from 13 patients with tibial fractures during straight walking at hospital visits using instrumented insoles. Parametrized curves were fitted and regression analyses conducted to determine the best fit, reflected in the highest R2 -value and lowest fitting error. A Wald Test with t-distribution was employed for statistical analysis. Strides were classified as regular or non-regular, and changes in this proportion were analyzed. Among the 12 parameters analyzed, those with the highest R2 -values were the mean force between inflection points (R2 = 0.715, p < 0.001, t42 = 9.89), the absolute time between inflection points (R2 = 0.707, p < 0.001, t42 = 9.83), and the highest overall force (R2 = 0.722, p < 0.001, t42 = 10.05). There was a significant increase in regular strides on both injured (R2 = 0.427, p < 0.001, t42 = 5.83) and healthy (R2 = 0.506, p < 0.001, t42 = 6.89) sides. The proposed parameters and assessment of the regular stride ratio enable new options for analyses and monitoring during rehabilitation after tibial shaft fractures. They are robust to pathologic GRF curves, can be determined independently from spatiotemporal coherence, and thus might provide advantages over established methods.
DOI der Erstveröffentlichung: 10.3390/s25082475
URL der Erstveröffentlichung: https://doi.org/10.3390/s25082475
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-451262
hdl:20.500.11880/39951
http://dx.doi.org/10.22028/D291-45126
ISSN: 1424-8220
Datum des Eintrags: 29-Apr-2025
Fakultät: M - Medizinische Fakultät
MI - Fakultät für Mathematik und Informatik
Fachrichtung: M - Chirurgie
MI - Informatik
Professur: M - Prof. Dr. med. Bergita Ganse
M - Prof. Dr. Tim Pohlemann
MI - Prof. Dr. Philipp Slusallek
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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