Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

• Κύριος συγγραφέας: Imatz Ojanguren, Eukene (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Control engineering.; Biomedical engineering.; Computational intelligence.; Biomechanics.; Signal processing.; Image processing.; Speech processing systems.; Control and Systems Theory.; Biomedical Engineering and Bioengineering.; Computational Intelligence.; Signal, Image and Speech Processing.

This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES w...

Πίνακας περιεχομένων:

• Introduction
• Phisiology
• Functional Electrical Stimulation
• Discomfort analysis
• Pain-maps
• FES modeling
• Computational Intelligence
• Neuro-fuzzy model
• Neuro-fuzzy model
• Conclusions.