Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning-Reference-Cited by-同舟云学术

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Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning

Published:2024 Issue: Volume:12 Page:52466-52479
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shin Jungpil¹^ORCID,Matsumoto Masahiro¹,Maniruzzaman Md.¹^ORCID,Hasan Md. Al Mehedi²^ORCID,Hirooka Koki¹^ORCID,Hagihara Yuki³^ORCID,Kotsuki Naoki⁴^ORCID,Inomata-Terada Satomi⁵^ORCID,Terao Yasuo⁵^ORCID,Kobayashi Shunsuke³^ORCID

Affiliation:

1. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

2. Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh

3. Department of Neurology, Teikyo University, Tokyo, Japan

4. Department of Neurology, Kyorin University, Tokyo, Japan

5. Department of Medical Physiology, Kyorin University, Tokyo, Japan

Funder

Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (KAKENHI), Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10494751.pdf?arnumber=10494751

Reference54 articles.

1. Parkinson disease

2. Parkinson's disease: clinical features and diagnosis

3. MDS clinical diagnostic criteria for Parkinson's disease

4. Assessment of Parkinson Disease Manifestations

5. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results

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