A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?

Yong Kuk Kim; Rosa MS Visscher; Elke Viehweger; Navrag B Singh; William R Taylor; Florian Vogl

A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?

Yong Kuk Kim, Rosa MS Visscher, Elke Viehweger, Navrag B Singh, William R Taylor, Florian Vogl

Careum Hochschule Gesundheit

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

Originalsprache	Englisch
Seiten (von - bis)	e0275878
Fachzeitschrift	PLoS ONE
Jahrgang	17
Ausgabenummer	10
Publikationsstatus	Veröffentlicht - 2022

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@article{f45cfaeb72104af9b840416bef90927b,

title = "A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?",

author = "Kim, {Yong Kuk} and Visscher, {Rosa MS} and Elke Viehweger and Singh, {Navrag B} and Taylor, {William R} and Florian Vogl",

year = "2022",

language = "English",

volume = "17",

pages = "e0275878",

journal = "PLoS ONE",

issn = "1932-6203",