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REFERENCES
Adamovich, S.V., Fluet, G.G., Mathai, A., Qiu, Q., Lewis, J., Merians, A.S., 2009. Design of
a complex virtual reality simulation to train finger motion for persons with hemiparesis: a
proof of concept study. J. Neuroeng. Rehabil. 1743-00036 (1), 28. https://doi.org/
10.1186/1743-0003-6-28. Available from: http://jneuroengrehab.biomedcentral.
com/articles/10.1186/1743-0003-6-28.
Amirabdollahian, F., Loureiro, R., Gradwell, E., Collin, C., Harwin, W., Johnson, G., 2007.
Multivariate analysis of the Fugl-Meyer outcome measures assessing the effectiveness of
GENTLE/S robot-mediated stroke therapy. J. Neuroeng. Rehabil. 1743-00034 (1), 4.
https://doi.org/10.1186/1743-0003-4-4. Available from: http://www.springerlink.
com/index/10.3758/BF03203630.
Ang,K.K.,Guan,C.,2015.Brain-computerinterfaceforneurorehabilitationofupperlimbafter
stroke. Proc. IEEE 103 (6), 944–953. https://doi.org/10.1109/JPROC.2015.2415800.
Available from: http://ieeexplore.ieee.org/document/7105815/.
Ang, K.K., Guan, C., 2017. EEG-based strategies to detect motor imagery for control
and rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 25 (4), 392–401. https://
doi.org/10.1109/TNSRE.2016.2646763. Available from: http://ieeexplore.ieee.org/
document/7802578/.
Ang, K.K., Chua, K.S.G., Phua, K.S., Wang, C., Chin, Z.Y., Kuah, C.W.K., Low, W.,
Guan, C., 2015. A randomized controlled trial of EEG-based motor imagery brain-
computer interface robotic rehabilitation for stroke. Clin. EEG Neurosci. 46 (4),
310–320. https://doi.org/10.1177/1550059414522229. Available from: http://journals.
sagepub.com/doi/10.1177/1550059414522229.
Babaiasl, M., Mahdioun, S.H., Jaryani, P., Yazdani, M., 2016. A review of technological and
clinical aspects of robot-aided rehabilitation of upper-extremity after stroke. Disabil.
Rehabil. Assist. Technol. 1748-310711 (4), 263–280. https://doi.org/10.3109/
17483107.2014.1002539. Available from: http://www.tandfonline.com/doi/full/10.
3109/17483107.2014.1002539.
Balasubramanian, S., Wei, R., Perez, M., Shepard, B., Koeneman, E., Koeneman, J., He, J.,
2008. RUPERT: an exoskeleton robot for assisting rehabilitation of arm functions.
In: 2008 International Conference on Virtual Rehabilitation (ICVR). IEEE,
pp. 163–167. Available from: http://ieeexplore.ieee.org/document/4625154/.
Bansil, S., Prakash, N., Kaye, J., Wrigley, S., Manata, C., Stevens-Haas, C., Kurlan, R., 2012.
Movement disorders after stroke in adults: a review. Tremor Other Hyperkinet. Mov.
2160-82882, 1–7. Available from: http://www.pubmedcentral.nih.gov/articlerender.
fcgi?artid¼3570045&tool¼pmcentrez&rendertype¼abstract.
Barsotti, M., Leonardis, D., Loconsole, C., Solazzi, M., Sotgiu, E., Procopio, C., Chisari, C.,
Bergamasco, M., Frisoli, A., 2015. A full upper limb robotic exoskeleton for reaching
and grasping rehabilitation triggered by MI-BCI. In: 2015 IEEE International Confer-
ence on Rehabilitation Robotics (ICORR). IEEE, pp. 49–54. Available from: http://
ieeexplore.ieee.org/document/7281174/.
Blacquiere, D., Lindsay, M.P., Foley, N., Taralson, C., Alcock, S., Balg, C., Bhogal, S.,
Cole, J., Eustace, M., Gallagher, P., Ghanem, A., Hoechsmann, A., Hunter, G.,
Khan, K., Marrero, A., Moses, B., Rayner, K., Samis, A., Smitko, E., Vibe, M.,
Gubitz, G., Dowlatshahi, D., Phillips, S., Silver, F.L., 2017. Canadian stroke best practice
recommendations: telestroke best practice guidelines update 2017. Int. J. Stroke 1747-
493012 (8), 886–895. https://doi.org/10.1177/1747493017706239. Available from:
http://journals.sagepub.com/doi/10.1177/1747493017706239.
Bouri, M., Baur, C., Clavel, R., Zedka, M., Newman, C.J., 2013. “Handreha”: a new hand
and wrist haptic device for hemiplegic children. In: The Sixth International Conference
on Advances in Computer-Human Interactions (ACHI)pp. 286–292. Available from:
https://www.thinkmind.org/index.php?view¼article&articleid¼achi_2013_11_20_
20392.