An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm-Reference-Cited by-同舟云学术

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm

Published:2024 Issue: Volume:32 Page:1109-1118
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Yang Qinlian¹^ORCID,Li Yingqi²,Li You¹,Zheng Manxu³^ORCID,Song Rong¹^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China

2. Guangdong Women and Children Hospital, Guangzhou, Panyu, China

3. Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Foundation of Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument

Natural Science Foundation of Guangdong Province

Shenzhen Science and Technology Research Program

Science and Technology Program of Guangzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10453589.pdf?arnumber=10453589

Reference41 articles.

1. Functional Electrical Stimulation for Neuromuscular Applications

2. Advances in Functional Electrical Stimulation modelling and control

3. Functional Electrical Stimulation

4. Iterative Adjustment of Stimulation Timing and Intensity During FES-Assisted Treadmill Walking for Patients After Stroke

5. Multimuscle Functional-Electrical-Stimulation-Based Wrist Tremor Suppression Using Repetitive Control