Please use this identifier to cite or link to this item: doi:10.22028/D291-35959
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Title: Long-term unsupervised mobility assessment in movement disorders
Author(s): Warmerdam, Elke
Hausdorff, Jeffrey M.
Atrsaei, Arash
Zhou, Yuhan
Mirelman, Anat
Aminian, Kamiar
Espay, Alberto J.
Hansen, Clint
Evers, Luc J. W.
Keller, Andreas
Lamoth, Claudine
Pilotto, Andrea
Rochester, Lynn
Schmidt, Gerhard
Bloem, Bastiaan R.
Maetzler, Walter
Language: English
Title: The Lancet Neurology
Volume: 19
Issue: 5
Pages: 462-470
Publisher/Platform: Elsevier
Year of Publication: 2020
Publikation type: Journal Article
Abstract: Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated devices) that quantify mobility in unsupervised, daily living environments are emerging as complementary clinical assessments. Data collected in these ecologically valid, patient-relevant settings can overcome limitations of conventional clinical assessments, as they capture fluctuating and rare events. These data could support clinical decision making and could also serve as outcomes in clinical trials. However, studies that directly compared assessments made in unsupervised and supervised (eg, in the laboratory or hospital) settings point to large disparities, even in the same parameters of mobility. These differences appear to be affected by psychological, physiological, cognitive, environmental, and technical factors, and by the types of mobilities and diagnoses assessed. To facilitate the successful adaptation of the unsupervised assessment of mobility into clinical practice and clinical trials, clinicians and researchers should consider these disparities and the multiple factors that contribute to them.
DOI of the first publication: 10.1016/S1474-4422(19)30397-7
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S1474442219303977?via%3Dihub
Link to this record: hdl:20.500.11880/32775
http://dx.doi.org/10.22028/D291-35959
ISSN: 1474-4422
Date of registration: 11-Apr-2022
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:Die Universitätsbibliographie

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