Research control for ankle joint rehabilitation device
DOI:
https://doi.org/10.15282/jmes.16.1.2022.08.0691Keywords:
Angle, ankle, rehabilitation, arduino, strokeAbstract
The ankle is one of the joints that is often injured when playing sports or in daily activities. Improper handling due to lack of knowledge about the ankles causes these injuries to last long, cause disability and affect our daily activities. Rehabilitation treatment is important for the purpose of maintaining and improving the mobility of joints. This paper, presenting the experimental results of the training device to rehabilitate ankle joints for human in dorsiflexion/plantarflexion exercises. The PD controller has been applied and controlled device. During the training, the angle of the ankle joint is monitored by the Arduino IDE software. The error of the set angle and the experimental angle is 10. The device manufactured in the workshop of Pham Van Dong university base on aluminum material. Experiments were conducted on both without load mode and with human mode. For human safety, besides the program containing the Arduino Mega controller, the device has mechanical brakes and an emergency button. The device’s tracking performance was determined by comparing the input and output angular position of the device.
References
C. Wang, Y. Fang, S. Guo, and Y. Chen, “Design and kinematical performance analysis of a 3-RUS/RRR redundantly actuated parallel mechanism for ankle rehabilitation,” J. Mech. Robot., vol. 5, no. 4, 2013.
S. Pittaccio and S. Viscuso, “An EMG-controlled SMA device for the rehabilitation of the ankle joint in post-acute stroke,” in Journal of Materials Engineering and Performance, vol. 20, no. 4–5, pp. 666–670, 201.
D. U. Jette, R. L. Warren, and C. Wirtalla, “The relation between therapy intensity and outcomes of rehabilitation in skilled nursing facilities,” Arch. Phys. Med. Rehabil., vol. 86, no. 3, pp. 373–379, 2005.
S. Mahalakshmi and R. Latha, “Artificial intelligence with the internet of things on healthcare systems: A survey,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, no. 6, pp. 2847–2854, 2019.
Institute of Electrical and Electronics Engineers., The proceedings of 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems : IROS 2006 : Beijing, China, October 9-15, 2006. IEEE, 2006.
A. Roy et al., “Robot-aided neurorehabilitation: A novel robot for ankle rehabilitation,” IEEE Trans. Robot., vol. 25, no. 3, pp. 569–582, 2009.
C.-C. K. Lin, M.-S. Ju, S.-M. Chen, and B.-W. Pan, “A specialized robot for ankle rehabilitation and evaluation transcranial direct current stimulation on spatial working memory view project development of haptic feedback system for surgical robots in laparoscopic surgery view project a specialized robot for ankle rehabilitation and evaluation,” 2008. [Online].
IEEE Computer Society. Technical Committee on Visualization and Graphics., Haptics Symposium, 2010 IEEE : date, 25-26 March 2010. IEEE, 2010.
Y. L. Park et al., “Design and control of a bio-inspired soft wearable robotic device for ankle-foot rehabilitation,” Bioinspiration and Biomimetics, vol. 9, no. 1, 2014.
Z. Zhou, Y. Zhou, N. Wang, F. Gao, K. Wei, and Q. Wang, “A proprioceptive neuromuscular facilitation integrated robotic ankle-foot system for post stroke rehabilitation,” in Robotics and Autonomous Systems, vol. 73, pp. 111–122, 2015.
H. Antong, R. Dixon, and C. Ward, “Modelling and building of experimental rig for high redundancy actuator”, UKACC International Conference on Control (CONTROL), pp. 384-388, 2014.
L. S. Mezher, “Position control for dynamic DC MOTOR with robust PID controller using MATLAB,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, no. 3, pp. 936–942, 2019.
Supriyono, I. Mawardi, and W. A. Siswanto, “The development of engine control module manipulator module based on Arduino to increase power and torque of motorcycle engine,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 8, no. 6, pp. 3135–3139, 2019.
M. Zhang et al., “A preliminary study on robot-assisted ankle rehabilitation for the treatment of drop foot,” J. Intell. Robot. Syst. Theory Appl., vol. 91, no. 2, pp. 207–215, 2018.
Q. Liu, A. Liu, W. Meng, Q. Ai, and S. Q. Xie, “Hierarchical compliance control of a soft ankle rehabilitation robot actuated by pneumatic muscles,” Front. Neurorobot., vol. 11, 2017.
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