Dynamics Combined With Hill Model for Functional Electrical Stimulation Ankle Angle Prediction
Author:
Affiliation:
1. College of Physical and Information Engineering, Fuzhou University, Fuzhou, China
2. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Funder
National Natural Science Foundation of China
Project of S&T Department of Fujian Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10116032/09732642.pdf?arnumber=9732642
Reference31 articles.
1. Validation of an artificially activated mechanistic muscle model by using inverse dynamics analysis
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4. An approach to a muscle model with a stimulus frequency-force relationship for FES applications
5. Estimating the Ankle Angle Induced by FES via the Neural Network-Based Hammerstein Model
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