Advances in sensor and wearable technologies for Parkinson's disease-Reference-Cited by-同舟云学术

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Advances in sensor and wearable technologies for Parkinson's disease

Published:2016-08-01 Issue:9 Volume:31 Page:1257-1257
ISSN:0885-3185
Container-title:Movement Disorders
language:en
Short-container-title:Mov Disord.

Author:

Sánchez-Ferro Álvaro¹²^ORCID,Maetzler Walter³⁴

Affiliation:

1. HM CINAC, Hospital Universitario HM Puerta del Sur; Móstoles Madrid Spain

2. Research Laboratory of Electronics, Massachusetts Institute of Technology; Cambridge Massachusetts USA

3. Center for Neurology and Hertie Institute for Clinical Brain Research, Department of Neurodegeneration, University of Tübingen; Tübingen Germany

4. German Center for Neurodegenerative Diseases; Tübingen Germany

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mds.26746/fullpdf

Reference8 articles.

1. A clinical view on the development of technology-based tools in managing Parkinson's disease [published online ahead of print 2016];Maetzler;Mov Disord

2. Technology in Parkinson's disease: challenges and opportunities [published online ahead of print 2016];Espay;Mov Disord

3. New technologies for the assessment of Parkinson's disease from 2005 to 2015: a systematic review of a decade of innovation;Sánchez-Ferro;Mov Disord

4. Free-living monitoring of Parkinson's disease: lessons from the field;Din;Mov Disord

5. Twelve-week sensor assessment in Parkinson's disease: impact on quality of life [published online ahead of print 2016];Uem;Mov Disord

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1. Cycle 1: Smart Sensory Cues;Design For Inclusion;2024

2. User-Centered Design Methodologies for the Prototype Development of a Smart Harness and Related System to Provide Haptic Cues to Persons with Parkinson’s Disease;Sensors;2022-10-22

3. mHealth Apps for Older Adults and Persons with Parkinson's Disease;Internet of Things for Human-Centered Design;2022

4. Machine Learning–Based Automatic Rating for Cardinal Symptoms of Parkinson Disease;Neurology;2021-02-10

5. Do kinematic gait parameters help to discriminate between fallers and non-fallers with Parkinson’s disease?;Clinical Neurophysiology;2021-02

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