Increasing the robustness of active upper limb prostheses

by Antonietta Stango
Doctoral thesis
Date of Examination:2016-11-23
Date of issue:2017-02-02
Advisor:Prof. Dr. Dario Farina
Referee:Prof. Dr. Dario Farina
Referee:Prof. Dr. Xiaoming Fu
Referee:Prof. Dr. Jens Grabowski
Referee:Prof. Dr. Russell Luke
Referee:Prof. Dr. Stephan Waack
Referee:Prof. Dr. Florentin Wörgötter
Persistent Address: http://dx.doi.org/10.53846/goediss-6082

 

 

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Abstract

English

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
 
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