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
2022-08-26T09:46:03Z
dc.date.available
2022-08-26T09:46:03Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/36028
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-35743
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.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
motion tracking
en
dc.subject
human kinematics
en
dc.subject
postural control
en
dc.subject
digital image processing
en
dc.subject
Parkinson's disease
en
dc.subject
multiple sclerosis
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
768575
dcterms.bibliographicCitation.doi
10.3389/fnhum.2022.768575
dcterms.bibliographicCitation.journaltitle
Frontiers in Human Neuroscience
dcterms.bibliographicCitation.originalpublishername
Frontiers Media SA
dcterms.bibliographicCitation.volume
16
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
35185496
dcterms.isPartOf.eissn
1662-5161