Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease-Reference-Cited by-同舟云学术

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Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease

Published:2012-08 Issue: Volume: Page:
ISSN:
Container-title:2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Barth J.,Sunkel M.,Bergner K.,Schickhuber G.,Winkler J.,Klucken J.,Eskofier B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6320834/6345844/06347146.pdf?arnumber=6347146

Cited by 26 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

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2. A Visibility Graph Approach for Multi-Stage Classification of Parkinson’s Disease Using Multimodal Data;IEEE Access;2024

3. Recent Advances in Multimodal Machine Learning for Parkinson's Disease Diagnosis: A Comprehensive Review;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17

4. Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions;IEEE Journal of Biomedical and Health Informatics;2023-07

5. Diagnosis of Parkinson’s disease using EEG and fMRI;Multimedia Tools and Applications;2022-10-15

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