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Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850274/ https://www.ncbi.nlm.nih.gov/pubmed/35185496 http://dx.doi.org/10.3389/fnhum.2022.768575 |
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author | Salchow-Hömmen, Christina Skrobot, Matej Jochner, Magdalena C. E. Schauer, Thomas Kühn, Andrea A. Wenger, Nikolaus |
author_facet | Salchow-Hömmen, Christina Skrobot, Matej Jochner, Magdalena C. E. Schauer, Thomas Kühn, Andrea A. Wenger, Nikolaus |
author_sort | Salchow-Hömmen, Christina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8850274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88502742022-02-18 Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders Salchow-Hömmen, Christina Skrobot, Matej Jochner, Magdalena C. E. Schauer, Thomas Kühn, Andrea A. Wenger, Nikolaus Front Hum Neurosci Human Neuroscience 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. Frontiers Media S.A. 2022-02-03 /pmc/articles/PMC8850274/ /pubmed/35185496 http://dx.doi.org/10.3389/fnhum.2022.768575 Text en Copyright © 2022 Salchow-Hömmen, Skrobot, Jochner, Schauer, Kühn and Wenger. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Salchow-Hömmen, Christina Skrobot, Matej Jochner, Magdalena C. E. Schauer, Thomas Kühn, Andrea A. Wenger, Nikolaus Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title | Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title_full | Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title_fullStr | Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title_full_unstemmed | Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title_short | Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders |
title_sort | review—emerging portable technologies for gait analysis in neurological disorders |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850274/ https://www.ncbi.nlm.nih.gov/pubmed/35185496 http://dx.doi.org/10.3389/fnhum.2022.768575 |
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