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Wearable multisource quantitative gait analysis of Parkinson's diseases

  • Published:2023-09 Issue: Volume:164 Page:107270
  • ISSN:0010-4825
  • Container-title:Computers in Biology and Medicine
  • language:en
  • Short-container-title:Computers in Biology and Medicine

Author:

Xie JunxiaoORCID,Zhao Huan,Cao JunyiORCID,Qu Qiumin,Cao Hongmei,Liao Wei-HsinORCID,Lei Yaguo,Guo Linchuan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Technology in Parkinson's disease: challenges and opportunities;Espay;Mov. Disord.,2016

2. Guest editorial: Special issue on Internet of Things for smart and connected health;Wang;IEEE Internet Things J.,2015

3. Sensor technology with gait as a diagnostic tool for assessment of Parkinson's disease: a survey;Kour;Multimed. Tool. Appl.,2022

4. Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results;Goetz;Mov. Disord.,2008

5. Deep gait recognition: a survey;Sepas-Moghaddam;IEEE Trans. Pattern Anal. Mach. Intell.,2022

Cited by 3 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. Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT;Computers in Biology and Medicine;2024-02

2. Insole Design and Optimization Processes for Gait Analysis;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

3. Features of Smartphone Diagnostics of Human Health Based on Gait Parameters;2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE);2023-11-10
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