Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease. (Q38562736)

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21 February 2020

review article

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title

Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease (English)

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21 February 2020

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2

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21 February 2020

Bjoern H Falkenburger

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21 February 2020

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Jürgen Winkler

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21 February 2020

author name string

Christiana Ossig

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21 February 2020

Carsten Buhmann

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21 February 2020

Joseph Classen

4

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21 February 2020

Ilona Csoti

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21 February 2020

Michael Schwarz

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21 February 2020

Alexander Storch

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21 February 2020

publication date

8 August 2015

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Journal of Neural Transmission

21 February 2020

published in

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21 February 2020

volume

123

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21 February 2020

issue

1

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21 February 2020

page(s)

57-64

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

21 February 2020

exact match

0 references

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Evaluating Parkinson's disease patients at home: utility of self-videotaping for objective motor, dyskinesia, and ON-OFF assessments.

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An objective fluctuation score for Parkinson's disease

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Waveform analysis of tremor may help to differentiate Parkinson's disease from drug-induced parkinsonism

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Automatic assessment of levodopa-induced dyskinesias in daily life by neural networks

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Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease

21 January 2018

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Accelerometer-based quantitative analysis of axial nocturnal movements differentiates patients with Parkinson's disease, but not high-risk individuals, from controls

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Quantitative wearable sensors for objective assessment of Parkinson's disease

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Reliability of measurements obtained with the Timed "Up & Go" test in people with Parkinson disease

21 January 2018

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Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications

21 January 2018

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Quantification of motor impairment in Parkinson's disease using an instrumented timed up and go test

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Patient diaries as a clinical endpoint in Parkinson's disease clinical trials.

21 January 2018

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An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals.

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Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use.

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10.1007/S00702-015-1439-8

Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26253901%20AND%20SRC:MED&resulttype=core&format=json

21 February 2020

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