Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2018
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / biomechanics / Biomedical engineering / Biomedical Engineering and Bioengineering / Computational Intelligence / Control and Systems Theory / Control engineering / Digital and Analog Signal Processing / engineering / Image processing / Imaging systems & technology / Signal Processing / Signal, Image and Speech Processing / Speech processing systems / Sports training & coaching
ISBN:	9783030027346
EAN-Code:	9783030027346
Verlag:	Springer Nature EN
Einband:	Gebunden
Sprache:	English
Serie:	Springer Theses
Dimensionen:	H 235 mm / B 155 mm / D 14 mm
Gewicht:	407 gr
Seiten:	135
Illustration:	XVII, 135 p. 90 illus., 67 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.