Foot function after calcaneus fracture assessed by application of unsupervised machine learning on pedobarographic gait data

Research output: Contribution to journal › Abstract (Journal) › peer-review

Original language	English
Journal	GAIT & POSTURE
DOIs	https://doi.org/10.1016/j.gaitpost.2023.07.131
Publication status	Published - Sept 2023
Event	ESMAC - Athen, Greece Duration: 18 Sept 2023 → 23 Sept 2023

Access to Document

@article{d7f7f998e7ef4162bc895091a8ff12ea,

title = "Foot function after calcaneus fracture assessed by application of unsupervised machine learning on pedobarographic gait data",

author = "Moritz Kraus and Isabella Kl{\"o}pfer-Kr{\"a}mer and Mischa M{\"u}hling and Johannes Gabel and Peter Augat and Andreas Brand",

year = "2023",

month = sep,

doi = "10.1016/j.gaitpost.2023.07.131",

language = "English",

journal = "GAIT & POSTURE ",

issn = "0966-6362",

note = "ESMAC ; Conference date: 18-09-2023 Through 23-09-2023",

}

Research output: Contribution to journal › Abstract (Journal) › peer-review

TY - JOUR

T1 - Foot function after calcaneus fracture assessed by application of unsupervised machine learning on pedobarographic gait data

AU - Kraus, Moritz

AU - Klöpfer-Krämer, Isabella

AU - Mühling, Mischa

AU - Gabel, Johannes

AU - Augat, Peter

AU - Brand, Andreas

PY - 2023/9

Y1 - 2023/9

U2 - 10.1016/j.gaitpost.2023.07.131

DO - 10.1016/j.gaitpost.2023.07.131

M3 - Abstract (Journal)

SN - 0966-6362

JO - GAIT & POSTURE

JF - GAIT & POSTURE

T2 - ESMAC

Y2 - 18 September 2023 through 23 September 2023

ER -