Use of Functional Data to Model the Trajectory of an Inertial Measurement Unit and Classify Levels of Motor Impairment for Stroke Patients-Reference-Cited by-同舟云学术

Use of Functional Data to Model the Trajectory of an Inertial Measurement Unit and Classify Levels of Motor Impairment for Stroke Patients

Published:2022 Issue: Volume:30 Page:925-935
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Hwang Yi-Ting¹,Lu Wei-An¹,Lin Bor-Shing²^ORCID

Affiliation:

1. Department of Statistics, National Taipei University, New Taipei City, Taiwan

2. Department of Computer Science and Information Engineering, National Taipei University, New Taipei City, Taiwan

Funder

Ministry of Science and Technology in Taiwan

University System of the Taipei Joint Research Program

Faculty Group Research Funding Sponsorship by the National Taipei University

“Academic Top-Notch and Features Field Project” funding sponsorship from the National Taipei University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference26 articles.

5. A multi-information data glove for hand function evaluation of stroke patients;xia;Investigación Clínica,2020

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