dc.contributor.author	Salchow-Hömmen, Christina
dc.contributor.author	Skrobot, Matej
dc.contributor.author	Jochner, Magdalena C. E.
dc.contributor.author	Schauer, Thomas
dc.contributor.author	Kühn, Andrea A.
dc.contributor.author	Wenger, Nikolaus
dc.date.accessioned	2022-03-07T13:42:16Z
dc.date.available	2022-03-07T13:42:16Z
dc.date.issued	2022-02-03
dc.date.updated	2022-02-20T01:38:23Z
dc.description.abstract	The understanding of locomotion in neurological disorders requires technologies for quantitative gait analysis. Numerous modalities are available today to objectively capture spatiotemporal gait and postural control features. Nevertheless, many obstacles prevent the application of these technologies to their full potential in neurological research and especially clinical practice. These include the required expert knowledge, time for data collection, and missing standards for data analysis and reporting. Here, we provide a technological review of wearable and vision-based portable motion analysis tools that emerged in the last decade with recent applications in neurological disorders such as Parkinson's disease and Multiple Sclerosis. The goal is to enable the reader to understand the available technologies with their individual strengths and limitations in order to make an informed decision for own investigations and clinical applications. We foresee that ongoing developments toward user-friendly automated devices will allow for closed-loop applications, long-term monitoring, and telemedical consulting in real-life environments.	en
dc.description.sponsorship	DFG, 424778381, Behandlung motorischer Netzwerkstörungen mittels Neuromodulation	en
dc.identifier.eissn	1662-5161
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/16505
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-15282
dc.language.iso	en	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	en
dc.subject.ddc	610 Medizin und Gesundheit	de
dc.subject.other	motion tracking	en
dc.subject.other	human kinematics	en
dc.subject.other	locomotion	en
dc.subject.other	postural control	en
dc.subject.other	wearables	en
dc.subject.other	digital image processing	en
dc.subject.other	Parkinson's disease	en
dc.subject.other	multiple sclerosis	en
dc.title	Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders	en
dc.type	Article	en
dc.type.version	publishedVersion	en
dcterms.bibliographicCitation.articlenumber	768575	en
dcterms.bibliographicCitation.doi	10.3389/fnhum.2022.768575	en
dcterms.bibliographicCitation.journaltitle	Frontiers in Human Neuroscience	en
dcterms.bibliographicCitation.originalpublishername	Frontiers	en
dcterms.bibliographicCitation.originalpublisherplace	Lausanne	en
dcterms.bibliographicCitation.volume	16	en
tub.accessrights.dnb	free	en
tub.affiliation	Fak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnik::FG Regelungssysteme	de
tub.affiliation.faculty	Fak. 4 Elektrotechnik und Informatik	de
tub.affiliation.group	FG Regelungssysteme	de
tub.affiliation.institute	Inst. Energie- und Automatisierungstechnik	de
tub.publisher.universityorinstitution	Technische Universität Berlin	en

Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders

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