Search

A study conducted at the National Yunlin University of Science and Technology in Taiwan explores the identification of fractional Hammerstein models for electrical stimulated muscle. The researchers propose a parameter estimation technique based on a fuzzy-weighted differential evolution algorithm for these models, which are important for the rehabilitation of spinal cord injury patients. The results show that the algorithm is effective in accurately identifying the parameters of the models, with high precision, stability, and reliability. This research has been peer-reviewed and published in Biomedical Signal Processing and Control. [Extracted from the article]