Sensor-based gait analysis provides robust results in comparison to motion capture: A validation study in Parkinson's disease

Research output: Contribution to journal › Meeting Abstract › peer-review

Original language	Undefined/Unknown
Pages (from-to)	S47-S48
Journal	Gait and Posture
Volume	97
Issue number	Suppl.1
DOIs	https://doi.org/10.1016/j.gaitpost.2022.07.037 https://doi.org/10.1016/j.gaitpost.2022.07.037
Publication status	Published - Sept 2022
Externally published	Yes

Access to Document

@article{ad7476acaffa49fda9ce4ebe8262e9e3,

title = "Sensor-based gait analysis provides robust results in comparison to motion capture: A validation study in Parkinson's disease",

author = "H. Ga{\ss}ner and V. Jakob and A. K{\"u}derle and F. Kluge and J. Klucken and B.M. Eskofier and J. Winkler and M. Winterholler",

note = "ESMAC 2022 Abstracts",

year = "2022",

month = sep,

doi = "10.1016/j.gaitpost.2022.07.037",

language = "Undefined/Unknown",

volume = "97",

pages = "S47--S48",

journal = "Gait and Posture",

issn = "0966-6362",

publisher = "Elsevier B.V.",

number = "Suppl.1",

}

TY - JOUR

T1 - Sensor-based gait analysis provides robust results in comparison to motion capture: A validation study in Parkinson's disease

AU - Gaßner, H.

AU - Jakob, V.

AU - Küderle, A.

AU - Kluge, F.

AU - Klucken, J.

AU - Eskofier, B.M.

AU - Winkler, J.

AU - Winterholler, M.

N1 - ESMAC 2022 Abstracts

PY - 2022/9

Y1 - 2022/9

U2 - 10.1016/j.gaitpost.2022.07.037

DO - 10.1016/j.gaitpost.2022.07.037

M3 - Meeting Abstract

SN - 0966-6362

VL - 97

SP - S47-S48

JO - Gait and Posture

JF - Gait and Posture

IS - Suppl.1

ER -