Increasing the robustness of active upper limb prostheses
von Antonietta Stango
Datum der mündl. Prüfung:2016-11-23
Erschienen:2017-02-02
Betreuer:Prof. Dr. Dario Farina
Gutachter:Prof. Dr. Dario Farina
Gutachter:Prof. Dr. Xiaoming Fu
Gutachter:Prof. Dr. Jens Grabowski
Gutachter:Prof. Dr. Russell Luke
Gutachter:Prof. Dr. Stephan Waack
Gutachter:Prof. Dr. Florentin Wörgötter
Dateien
Name:PhD_Thesis_stango_digital3.pdf
Size:3.43Mb
Format:PDF
Description:PhD Thesis
Zusammenfassung
Englisch
This thesis is based on my work done at the Institute for Neurorehabilitation Systems at the University Medical Center Goettingen. My work has been partially founded by German Ministry for Education and Research (BMBF) via the Bernstein Focus Neurotechnology (BFNT) Göttingen under grant number 1GQ0810 The local ethics committee approved all studies involving human subjects, and all subjects signed informed consents prior to their participation in the studies. The entire thesis has been originally written by me. Part of the materials used in this thesis have also been published in journals or conferences, where I am the first or corresponding author. All rights for re-use of previously published material were obtained. Reused figures and tables of IEEE publications are marked with © [Year] IEEE. Hereby I declare that I have written this thesis independently and with no other aids and sources than quoted.
Keywords: upper limb prostheses; pattern recognition algorithm; EMG; implanted EMG; electromagnetic simulation