Wearable sensor-based objective assessment of motor symptoms in Parkinson’s disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01

AUTHORS

Christiana Ossig, Angelo Antonini, Carsten Buhmann, Joseph Classen, Ilona Csoti, Björn Falkenburger, Michael Schwarz, Jürgen Winkler, Alexander Storch

ABSTRACT

Effective management and development of new treatment strategies of motor symptoms in Parkinson's disease (PD) largely depend on clinical rating instruments like the Unified PD rating scale (UPDRS) and the modified abnormal involuntary movement scale (mAIMS). Regarding inter-rater variability and continuous monitoring, clinical rating scales have various limitations. Patient-administered questionnaires such as the PD home diary to assess motor stages and fluctuations in late-stage PD are frequently used in clinical routine and as clinical trial endpoints, but diary/questionnaire are tiring, and recall bias impacts on data quality, particularly in patients with cognitive dysfunction or depression. Consequently, there is a strong need for continuous and objective monitoring of motor symptoms in PD for improving therapeutic regimen and for usage in clinical trials. Recent advances in battery technology, movement sensors such as gyroscopes, accelerometers and information technology boosted the field of objective measurement of movement in everyday life and medicine using wearable sensors allowing continuous (long-term) monitoring. This systematic review summarizes the current wearable sensor-based devices to objectively assess the various motor symptoms of PD. More... »

PAGES

57-64

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00702-015-1439-8

DOI

http://dx.doi.org/10.1007/s00702-015-1439-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012124606

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26253901


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00702-015-1439-8'


 

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