DESIGN AND DEVELOPMENT OF 3D PRINTED MYOELECTRIC ROBOTIC EXOSKELETON FOR HAND REHABILITATION

[1]Aabdallah, I.B., Bouteraa, Y. and Rekik, C. (2016). ‘Design of smart robot for wrist rehabilitation’. International journal of smart sensing and intelligent systems. vol. 9, no. 2.10.21307/ijssis-2017-906 Search in Google Scholar

[2]Mehdi, H., & Boubaker, O. (2012). ‘Robot-assisted therapy: design, control and optimization’. International Journal on Smart Sensing and Intelligent Systems, 5(4), 1044-1062.10.21307/ijssis-2017-522 Search in Google Scholar

[3]Orihuela-Espina, F., Roldán, G. F., Sánchez-Villavicencio, I., Palafox, L., Leder, R., Sucar, L. E., & Hernández-Franco, J. (2016). ‘Robot training for hand motor recovery in subacute stroke patients: A randomized controlled trial’. Journal of Hand Therapy, 29(1), 51-57.10.1016/j.jht.2015.11.00626847320 Search in Google Scholar

[4]Y. Bouteraa and I. Ben Abdallah, Exoskeleton robots for upper-limb rehabilitation, 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD), Leipzig, pp 1-6.10.1109/SSD.2016.7473769 Search in Google Scholar

[5]Mazzoleni, S., Sale, P., Franceschini, M., Bigazzi, S., Carrozza, M.C., Dario, P. and Posteraro, F. (2013). ‘Effects of proximal and distal robot-assisted upper limb rehabilitation on chronic stroke recovery’. NeuroRehabilitation, 33 (1) 33–39.10.3233/NRE-13092523949024 Search in Google Scholar

[6]Gerloff, C., Corwell, B., Chen, R., Hallett, M. and Cohen, L.G. (1998), ‘The role of the human motor cortex in the control of complex and simple finger movement sequences’. Brain, 121(9), 1695-1709.10.1093/brain/121.9.16959762958 Search in Google Scholar

[7]Heo, P., Gu, G. M., Lee, S. J., Rhee, K., & Kim, J. (2012). ‘Current hand exoskeleton technologies for rehabilitation and assistive engineering’. International Journal of Precision Engineering and Manufacturing, 13(5), 807-824.10.1007/s12541-012-0107-2 Search in Google Scholar

[8]Bos, R. A., Haarman, C. J., Stortelder, T., Nizamis, K., Herder, J. L., Stienen, A. H., & Plettenburg, D. H. (2016). ‘A structured overview of trends and technologies used in dynamic hand orthoses’. Journal of NeuroEngineering and Rehabilitation, 13(1), 62.10.1186/s12984-016-0168-z492833127357107 Search in Google Scholar

[9]Cesqui, B., Tropea, P., Micera, S., & Krebs, H. I. (2013). ‘EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study’. Journal of neuroengineering and rehabilitation, 10(1), 1.10.1186/1743-0003-10-75372953723855907 Search in Google Scholar

[10]Song, R., Tong, K. Y., Hu, X., & Zhou, W. (2013). ‘Myoelectrically controlled wrist robot for stroke rehabilitation’. Journal of neuroengineering and rehabilitation, 10(1), 1.10.1186/1743-0003-10-52368557023758925 Search in Google Scholar

[11]Ryait, H. S., Arora, A. S., & Agarwal, R. (2009). ‘Study of issues in the development of surface EMG controlled human hand’. Journal of Materials Science: Materials in Medicine, 20(1), 107-114. Search in Google Scholar

[12]Lee, S. W., Wilson, K. M., Lock, B. A., & Kamper, D. G. (2011). ‘Subject-specific myoelectric pattern classification of functional hand movements for stroke survivors’. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(5), 558-566.10.1109/TNSRE.2010.2079334401015520876030 Search in Google Scholar

[13]Ho, N. S. K., Tong, K. Y., Hu, X. L., Fung, K. L., Wei, X. J., Rong, W., & Susanto, E. A. (2011, June). ‘An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects: task training system for stroke rehabilitation’. In Proceedings of the 2011 IEEE international conference on rehabilitation robotics (pp. 1-5).10.1109/ICORR.2011.597534022275545 Search in Google Scholar

[14]Kiguchi, K. (2007, June). ‘A study on emg-based human motion prediction for power assist exoskeletons’. In Proceedings of the 2007 International Symposium on Computational Intelligence in Robotics and Automation (pp. 190-195).10.1109/CIRA.2007.382917 Search in Google Scholar

[15]Masia, L., Krebs, H. I., Cappa, P., & Hogan, N. (2007, June). ‘Design, characterization, and impedance limits of a hand robot’. In Proceedings of the 2007 IEEE 10th International Conference on Rehabilitation Robotics (pp. 1085-1089).10.1109/ICORR.2007.4428558 Search in Google Scholar

[16]Takahashi, C. D., Der-Yeghiaian, L., Le, V., Motiwala, R. R., & Cramer, S. C. (2008). ‘Robot-based hand motor therapy after stroke’. Brain, 131(2), 425-437.10.1093/brain/awm31118156154 Search in Google Scholar

[17]Kawasaki, H., Ito, S., Ishigure, Y., Nishimoto, Y., Aoki, T., Mouri, T.& Abe, M. (2007, June). ‘Development of a hand motion assist robot for rehabilitation therapy by patient selfmotion control’. In Proceedings of the 2007 IEEE 10th International Conference on Rehabilitation Robotics (pp. 234-240).10.1109/ICORR.2007.4428432 Search in Google Scholar

[18]Hasegawa, Y., Mikami, Y., Watanabe, K., Firouzimehr, Z., & Sankai, Y. (2008, September). ‘Wearable handling support system for paralyzed patient’. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 741-746).10.1109/IROS.2008.4651199 Search in Google Scholar

[19]Lambercy, O., Dovat, L., Yun, H., Wee, S. K., Kuah, C., Chua, K.& Burdet, E. (2009, June). ‘Rehabilitation of grasping and forearm pronation/supination with the Haptic Knob’. In Proceedings of the IEEE International Conference on Rehabilitation Robotics (pp. 22-27).10.1109/ICORR.2009.5209520 Search in Google Scholar

[20]Dovat, L., Lambercy, O., Gassert, R., Maeder, T., Milner, T., Teo C. and Burdet, E. (2008), ‘HandCARE: A cable-actuated rehabilitation system to train hand function after stroke’, IEEE Transaction in Neural Systems and Rehabilitation Engineering, 16(6), pp. 582–591.10.1109/TNSRE.2008.201034719144590 Search in Google Scholar

[21]Felipe, J., Pereyra, A. and Castillo-Castaneda, E. (2016), ‘Design of a Reconfigurable Robotic System for Flexoextension Fitted to Hand Fingers Size’, Applied Bionics and Biomechanics, vol. 2016, Article ID 1712831, 10 pages.10.1155/2016/1712831497626127524880 Search in Google Scholar

[22]Schabowsky, C. N., Godfrey, S. B., Holley, R. J., & Lum, P. S. (2010). ‘Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot’. Journal of neuroengineering and rehabilitation, 7(1), 1.10.1186/1743-0003-7-36292029020667083 Search in Google Scholar

[23]Borboni, A., Mor, M. and Faglia, R. (2016), ‘Gloreha-Hand Robotic Rehabilitation: Design, Mechanical Model, and Experiments’ J. Dyn. Sys., Meas., Control 138(11), 111003.10.1115/1.4033831 Search in Google Scholar

[24]The Amadeo® System, Tyromotion. [Online]. Available: http://www.tyromotion.com/en/products/amadeo/. Search in Google Scholar

[25]Maestra Hand and Wrist CPM, Sammons Preston. [Online]. Available: http://www.sammonspreston.com/app.aspx?cmd=get_product&id=91378. Search in Google Scholar

[26]Heo, P., Gu, G. M., Lee, S. J., Rhee, K., & Kim, J. (2012). ‘Current hand exoskeleton technologies for rehabilitation and assistive engineering’. International Journal of Precision Engineering and Manufacturing, 13(5), 807-824.10.1007/s12541-012-0107-2 Search in Google Scholar

[27]Aguilar-Pereyra, J.F. and Castillo-Castaneda, E. (2016) ‘Design of a Reconfigurable Robotic System for Flexoextension Fitted to Hand Fingers Size’. Applied Bionics and Biomechanics, vol. 2016, Article ID 1712831, 10 pages.10.1155/2016/1712831497626127524880 Search in Google Scholar

[28]Negi, S., Dhiman, S., & Kumar Sharma, R. (2014). ‘Basics and applications of rapid prototyping medical models’. Rapid Prototyping Journal, 20(3), 256-267.10.1108/RPJ-07-2012-0065 Search in Google Scholar

[29]Hieu, L. C., Sloten, J. V., Hung, L. T., Khanh, L., Soe, S., Zlatov, N., ...& Trung, P. D. (2010, September). ‘Medical reverse engineering applications and methods’. In 2ND International Conference on Innovations, Recent Trends and Challenges in Mechatronics, Mechanical Engineering and New High-Tech Products Development, MECAHITECH (Vol. 10, pp. 232-246). Search in Google Scholar

[30]Baronio, G., Harran, S. and Signoroni, A. (2016), ‘A critical analysis of a hand orthosis reverse engineering and 3D printing process’, Applied Bionics and Biomechanics, vol. 2016, Article ID 8347478, 7 pages.10.1155/2016/8347478499393127594781 Search in Google Scholar

[31]Yeow, C. H., Baisch, A. T., Talbot, S. G., & Walsh, C. J. (2014). ‘Cable-Driven Finger Exercise Device With Extension Return Springs for Recreating Standard Therapy Exercises’. Journal of Medical Devices, 8(1), 014502.10.1115/1.4025449 Search in Google Scholar

[32]Cram, J. R., Kasman, G. S. and Holtz, J. (2010), ‘Introduction to Surface Electromyography’, 2nd ed. Jones and Bartlett Publishers, 2010. Search in Google Scholar

[33]Phinyomark, A., Phukpattaranont, P., & Limsakul, C. (2012). ‘Fractal analysis features for weak and single-channel upper-limb EMG signals’. Expert Systems with Applications, 39(12), 11156-11163.10.1016/j.eswa.2012.03.039 Search in Google Scholar

[34]Mello, R. G., Oliveira, L. F., & Nadal, J. (2007). ‘Digital Butterworth filter for subtracting noise from low magnitude surface electromyogram’. Computer methods and programs in biomedicine, 87(1), 28-35.10.1016/j.cmpb.2007.04.00417548125 Search in Google Scholar

[35]De Luca, C.J., Donald, L.G., Mikhail, K. and Serge, H.R. (2010). ‘Filtering the surface EMG signal: Movement artifact and baseline noise contamination’. Journal of Biomechanics, 43 (8), pp. 1573–1579.10.1016/j.jbiomech.2010.01.02720206934 Search in Google Scholar

[36]Phinyomark, A., Phukpattaranont, P., & Limsakul, C. (2012c). ‘Feature reduction and selection for EMG signal classification’. Expert Systems with Applications, 39(8), 7420–7431.10.1016/j.eswa.2012.01.102 Search in Google Scholar

[37]Oskoei, M. A., & Hu, H. (2008). ‘Support vector machine-based classification scheme for myoelectric control applied to upper limb’. IEEE transactions on biomedical engineering, 55(8), 1956-1965.10.1109/TBME.2008.91973418632358 Search in Google Scholar

[38]Phinyomark, A., Limsakul, C., & Phukpattaranont, P. (2009a). ‘A novel feature extraction for robust EMG pattern recognition’, Journal of Computing, 1(1), 71–80. Search in Google Scholar