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@ARTICLE{SalchowHmmen:163320,
      author       = {Salchow-Hömmen, Christina and Skrobot, Matej and Jochner,
                      Magdalena C E and Schauer, Thomas and Kühn, Andrea A and
                      Wenger, Nikolaus},
      title        = {{R}eview-{E}merging {P}ortable {T}echnologies for {G}ait
                      {A}nalysis in {N}eurological {D}isorders.},
      journal      = {Frontiers in human neuroscience},
      volume       = {16},
      issn         = {1662-5161},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {DZNE-2022-00100},
      pages        = {768575},
      year         = {2022},
      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.},
      subtyp        = {Review Article},
      keywords     = {Parkinson's disease (Other) / digital image processing
                      (Other) / human kinematics (Other) / locomotion (Other) /
                      motion tracking (Other) / multiple sclerosis (Other) /
                      postural control (Other) / wearables (Other)},
      cin          = {AG Endres},
      ddc          = {610},
      cid          = {I:(DE-2719)1811005},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35185496},
      pmc          = {pmc:PMC8850274},
      doi          = {10.3389/fnhum.2022.768575},
      url          = {https://pub.dzne.de/record/163320},
}