Page 353 - Handbook of Biomechatronics

346 Borna Ghannadi et al.

0929559315 (1), 35–51. https://doi.org/10.1023/A:1024436732030. Available from:
http://link.springer.com/10.1023/A:1024436732030. http://link.springer.com/article/
10.1023/A%3A1024436732030.
Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Troy, A., Leonhardt, S., 2014.
A survey on robotic devices for upper limb rehabilitation. J. Neuroeng. Rehabil. 1743-
000311(1), 3. https://doi.org/10.1186/1743-0003-11-3. Available from: http://www.
jneuroengrehab.com/content/11/1/3.
Maitland, A., McPhee, J., 2018. Fast NMPC with mixed-integer controls using quasi-
translations. In: 6th IFAC Conference on Nonlinear Model Predictive Control.
Madison, Wisconsin, USA.
Mao, Y., Jin, X., Gera Dutta, G., Scholz, J.P., Agrawal, S.K., 2015. Human movement train-
ing with a cable driven arm exoskeleton (CAREX). IEEE Trans. Neural Syst. Rehabil.
Eng. 1534-432023 (1), 84–92. https://doi.org/10.1109/TNSRE.2014.2329018. Avail-
able from: http://ieeexplore.ieee.org/document/6826540/. http://www.ncbi.nlm.nih.
gov/pubmed/24919202.
Marchal-Crespo, L., Reinkensmeyer, D.J., 2009. Review of control strategies for
robotic movement training after neurologic injury. J. Neuroeng. Rehabil. 1743-
00036 (1), 20. https://doi.org/10.1186/1743-0003-6-20. Available from: http://
www.jneuroengrehab.com/content/6/1/20.
Marquez-Chin, C., Marquis, A., Popovic, M.R., 2016. EEG-triggered functional electrical
stimulation therapy for restoring upper limb function in chronic stroke with severe hemi-
plegia. Case Rep. Neurol. Med. 2016, 1–11. https://doi.org/10.1155/2016/9146213.
Available from: https://www.hindawi.com/journals/crinm/2016/9146213/.
Mehrabi, N., Sharif Razavian, R., Ghannadi, B., McPhee, J., 2017. Predictive simulation
of reaching moving targets using nonlinear model predictive control. Front. Comput.
Neurosci. 1662-518810, 143. https://doi.org/10.3389/fncom.2016.00143. Available
from: http://journal.frontiersin.org/article/10.3389/fncom.2016.00143/full.
Mehrholz, J., H€adrich, A., Platz, T., Kugler, J., Pohl, M., 2012. Electromechanical and
robot-assisted arm training for improving generic activities of daily living, arm function,
and arm muscle strength after stroke. In: Jan, M. (Ed.), Cochrane Database of Systematic
Reviews. In: vol. 6. John Wiley & Sons, Ltd, Chichester, p. CD006876. Available from:
http://doi.wiley.com/10.1002/14651858.CD006876.pub3. http://onlinelibrary.wiley.com/
doi/10.1002/14651858.CD006876.pub3/pdf/standard. http://www.ncbi.nlm.nih.gov/pub-
med/22696362.
Mendis, S., 2013. Stroke disability and rehabilitation of stroke: World Health Organization per-
spective. Int. J. Stroke 8 (1), 3–4. https://doi.org/10.1111/j.1747-4949.2012.00969.x.
Available from:. http://www.ncbi.nlm.nih.gov/pubmed/23280261.
Mihelj, M., Nef, T., Riener, R., 2007. A novel paradigm for patient-cooperative control of
upper-limb rehabilitation robots. Adv. Robot. 0169-186421 (8), 843–867. https://doi.
org/10.1163/156855307780851975. Available from: http://www.tandfonline.com/
doi/abs/10.1163/156855307780851975.
Miller, L.M., Rosen, J., 2010. Comparison of multi-sensor admittance control in joint space
and task space for a seven degree of freedom upper limb exoskeleton. In: 2010 3rd IEEE
RAS and EMBS International Conference on Biomedical Robotics and
Biomechatronics (BioRob). IEEE, pp. 70–75. Available from: http://ieeexplore.ieee.
org/lpdocs/epic03/wrapper.htm?arnumber¼5628069.
Montagner, A., Frisoli, A., Borelli, L., Procopio, C., Bergamasco, M., Carboncini, M.C.,
Rossi, B., 2007. A pilot clinical study on robotic assisted rehabilitation in VR with an
arm exoskeleton device. In: 2007 International Conference on Virtual Rehabilitation
(ICVR). IEEE, pp. 57–64. Available from: http://ieeexplore.ieee.org/document/
4362131/.