Title :
Comparison of different fuzzy models to extract position information from muscle afferent activity
Author :
S. Micera;W. Jensen;R.R. Riso;T. Sinkjaer
Author_Institution :
Center for Sensory-Motor Interaction, Aalborg Univ., Denmark
Abstract :
The aim of this study was to investigate different fuzzy models for joint position prediction using the ElectroNeuroGram (ENG) signals recorded from muscle afferents using cuff electrodes. The Dynamic Non-Singleton Fuzzy Logic System (DNSFLS) model performed best, The good performance of this fuzzy model suggests it might be possible to use activity from muscle afferents recorded with cuff electrodes for Functional Electrical Stimulation (FES) closed-loop control of joint position.
Keywords :
"Data mining","Muscles","Predictive models","Fuzzy systems","Fuzzy logic","Control systems","Testing","Electrodes","Fuzzy control","Neuromuscular stimulation"
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802561
