Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge-Reference-Cited by-同舟云学术

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Motion Sensor-Based Assessment of Parkinson's Disease Motor Symptoms During Leg Agility Tests: Results From Levodopa Challenge

Published:2020-01 Issue:1 Volume:24 Page:111-119
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Aghanavesi Somayeh^ORCID,Bergquist Filip,Nyholm Dag^ORCID,Senek Marina,Memedi Mevludin^ORCID

Funder

Swedish Knowledge Foundation

Swedish Innovation Agency

Acreo

Cenvigo

Sensidose

Uppsala Universitet

Örebro University

Högskolan Dalarna

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/8949677/08637809.pdf?arnumber=8637809

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson’s disease;2024-08-23

2. Towards Sustainable Management of Parkinson’s Disease Healthcare: Evaluating the Role and Impact of Mobile Health Devices (Preprint);2024-06-13

3. Wearable Ring-Shaped Biomedical Device for Physiological Monitoring through Finger-Based Acquisition of Electrocardiographic, Photoplethysmographic, and Galvanic Skin Response Signals: Design and Preliminary Measurements;Biosensors;2024-04-20

4. Kinect-based objective assessment of the acute levodopa challenge test in parkinsonism: a feasibility study;Neurological Sciences;2024-01-06

5. Development of AI-Based Measurement Techniques for Quantitative Behavioral Assessment in Clinical Observation Evaluations Based on Sensory Integration;Journal of Magnetics;2023-12-31

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