Subject-Independent Estimation of Continuous Movements Using CNN-LSTM for a Home-Based Upper Limb Rehabilitation System-Reference-Cited by-同舟云学术

Subject-Independent Estimation of Continuous Movements Using CNN-LSTM for a Home-Based Upper Limb Rehabilitation System

Published:2023-10 Issue:10 Volume:8 Page:6403-6410
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Li He¹^ORCID,Guo Shuxiang²^ORCID,Bu Dongdong¹^ORCID,Wang Hanze¹^ORCID,Kawanishi Masahiko³

Affiliation:

1. School of Life Science, Beijing Institute of Technology, Beijing, China

2. Intelligent of Mechanical System Engineering Department, Kagawa University, Takamatsu, Japan

3. Department of Neurological Surgery, Faculty of Medicine, Kagawa University, Takamatsu, Japan

Funder

National Natural Science Foundation of China

National High-Tech Research and Development Program through 863 Program of China

SPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10220574/10214163.pdf?arnumber=10214163

Reference32 articles.

1. A Task Performance-Based sEMG-Driven Variable Stiffness Control Strategy for Upper Limb Bilateral Rehabilitation System

2. A Motor Recovery Training and Evaluation Method for the Upper Limb Rehabilitation Robotic System

3. An intention-based online bilateral training system for upper limb motor rehabilitation

4. A Home-based Tele-rehabilitation System With Enhanced Therapist-patient Remote Interaction: A Feasibility Study

5. A new strategy for multifunction myoelectric control

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