Technically assisted rehabilitation – approaches for the upper extremity

Thomas Stieglitz

doi:10.1515/bmt-2015-0083

Published by De Gruyter June 30, 2015

Technically assisted rehabilitation – approaches for the upper extremity

Thomas Stieglitz

From the journal Biomedical Engineering / Biomedizinische Technik

https://doi.org/10.1515/bmt-2015-0083

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Corresponding author: Prof. Dr. Thomas Stieglitz, Department of Microsystems Engineering – IMTEK, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany, Phone: +49-761-203-7471, Fax: +49-761-203-7472, E-mail: thomas.stieglitz@imtek.uni-freiburg.de

References

[1] Freeman C, Exell T, KMeadmore T, Hallewell E, Hughes A-M. Computational models of upper-limb motion during functional reaching tasks for application in FES-based stroke rehabilitation. Biomed Eng/Biomed Tech 2015; 60: 179–191.10.1515/bmt-2014-0011Search in Google Scholar PubMed

[2] Hennes M, Bollue K, Arenbeck H, Disselhorst-Klug C. A proposal for patient-tailored supervision of movement performance during end-effector based robot-assisted rehabilitation of the upper extremities. Biomed Eng/Biomed Tech 2015; 60: 193–197.10.1515/bmt-2014-0021Search in Google Scholar PubMed

[3] Soekadar SR, Witkowski M, Vitiello N, Birbaumer N. An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand. Biomed Eng/Biomed Tech 2015; 60: 199–205.10.1515/bmt-2014-0126Search in Google Scholar PubMed

[4] Sturma A, Roche AD, Gobel P, et al. A surface EMG test tool to measure proportional prosthetic control. Biomed Eng/Biomed Tech 2015; 60: 207–213.10.1515/bmt-2014-0022Search in Google Scholar PubMed

Published Online: 2015-6-30

Published in Print: 2015-6-1

Technically assisted rehabilitation – approaches for the upper extremity

References

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