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

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 with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

List of contents

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

Summary

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 with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

Product details

• Authors: Eukene Imatz Ojanguren
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 31.12.2018
• EAN: 9783030027346
• ISBN: 978-3-0-3002734-6
• No. of pages: 135
• Dimensions: 160 mm x 242 mm x 14 mm
• Weight: 380 g
• Illustrations: XVII, 135 p. 90 illus., 67 illus. in color.
• Series: Springer Theses; Springer Theses
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Biophysik, Elektronik, B, Künstliche Intelligenz, Artificial Intelligence, Biomedizinische Technik, engineering, Sports training & coaching, biomechanics, Digitale Signalverarbeitung (DSP), Control and Systems Theory, Signal, Image and Speech Processing, Signal Processing, Computational Intelligence, Biomedical Engineering and Bioengineering, Biomedical engineering, Control engineering, Speech processing systems, Digital and Analog Signal Processing, Imaging systems & technology, Image processing, Signal, Speech and Image Processing