Chong T. Hau, Darwin Gouwanda, Alpha A. Gopalai, Cheng Y. Low, and Fazah A. Hanapiah
[1] D.U. Jette, Reg L. Warren, and Christopher Wirtalla, The relation between therapy intensity and outcomes of rehabilitation in skilled nursing facilities, Archives of Physical Medicine and Rehabilitation, 86(3), 2005, 373–379. [2] Y.M. Khalid, D. Gouwanda, and S. Parasuraman, A review on the mechanical design elements of ankle rehabilitation robot, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 229(6), 2015, 452–463. [3] M. Zhang, T.C. Davies, and S. Xie, Effectiveness of robot-assisted therapy on ankle rehabilitation–a systematic review, Journal of Neuroengineering and Rehabilitation, 10(1), 2013, 30. [4] Y. Fan, Z. Guo, and Y Yin, SEMG-based neuro-fuzzy controller for a parallel ankle exoskeleton with proprioception, International Journal of Robotics and Automation, 26(4), 2011, 450–460. [5] J.E. Deutsch, J. Latonio, G.C. Burdea, and R. Boian, Post-stroke rehabilitation with the Rutgers ankle system: a case study, Presence: Teleoperators and Virtual Environments, 10(4), 2001, 416–430. [6] Y.L. Park, B.R. Chen, N.O. P´erez-Arancibia, D. Young, et al., Design and control of a bio-inspired soft wearable robotic device for ankle–foot rehabilitation, Bioinspiration and Biomimetics, 9(1), 2014, 016007. [7] T.H. Chong, D. Gouwanda, A.A. Gopalai, C.Y. Low, et al., Design and development of platform ankle rehabilitation robot with shape memory alloy based actuator, Proc. 2017 39th Annual Int. Conf. of the IEEE on Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, 2017. [8] B. Wang, Y. Jin, and D.S. Wei, Modeling of pneumatic muscle with shape memory alloy and braided sleeve, International Journal of Robotics and Automation, 7(3), 2010, 283–288. [9] B. Hritwick, T.H.T. Zion, and H. Ren, Soft robotics with compliance and adaptation for biomedical applications and forthcoming challenges, International Journal of Robotics and Automation, 33(1), 2018. [10] D. Grant and V. Hayward, Design of shape memory alloy actuator with high strain and variable structure control, Proc. 1995 IEEE Conf. on Robotics and Automation, 1995, 2305–2312. 41 [11] D. Grant and V. Hayward, Variable structure control of shape memory alloy actuators, Control Systems, IEEE, 17(3), 1997, 80–88. [12] J.M. Jani, M. Leary, A. Subic, and M.A. Gibson, A review of shape memory alloy research, applications and opportunities, Materials & Design, 56, 2014, 1078–1113. [13] C.E. Clauser, J.T. McConville, and J.W. Young, Weight, Volume, and Center of Mass of Segments of the Human Body (DTIC Document, 1969). [14] T.O. Lim, L.M. Ding, M. Zaki, A.B. Suleiman, et al., Distribution of body weight, height and body mass index in a national sample of Malaysian adults, Medical Journal of Malaysia, 55(1), 2000, 108–128. [15] K. Karmegam, S.M. Sapuan, M.Y. Ismail, N. Ismail, et al., Anthropometric study among adults of different ethnicity in Malaysia, International Journal of the Physical Sciences, 6(4), 2011, 777–788. [16] M.Y. Rosnah and S. Norazizan SAR, Anthropometry dimensions of older Malaysians: comparison of age, gender and ethnicity, Asian Social Science, 5(6), 2009, 133. [17] C. Arpino, M.F. Vescio, A. De Luca, and P. Curatolo, Efficacy of intensive versus nonintensive physiotherapy in children with cerebral palsy: a meta-analysis, International Journal of Rehabilitation Research, 33(2), 2010, 165–171. [18] D.L. Damiano, Rehabilitative therapies in cerebral palsy: the good, the not as good, and the possible, Journal of Child Neurology, 24(9), 2009, 1200–1204. [19] S. Tessem, N. Hagstrøm, and B. Fallang, Weight distribution in standing and sitting positions, and weight transfer during reaching tasks, in seated stroke subjects and healthy subjects, Physiotherapy Research International, 12(2), 2007, 82–94. [20] I. D´ıaz, J.J. Gil, and E. S´anchez, Lower-limb robotic rehabilitation: literature review and challenges, Journal of Robotics, 2011, 2011, 759764.
Important Links:
Go Back
