Volume 15, Issue 2 (Journal of Control, V.15, N.2 Summer 2021)                   JoC 2021, 15(2): 1-9 | Back to browse issues page


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Arasteh R, Safaie J, Abbasi M, Afsharfard A. Design of Hand Tremor Reduction System Based on Predictive Control in Patients with Parkinson Disease. JoC 2021; 15 (2) :1-9
URL: http://joc.kntu.ac.ir/article-1-712-en.html
1- Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2- Mechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Abstract:   (6089 Views)
Parkinson's disease is the most common neurological disorder after Alzheimer's, which is caused by a decrease in the brain's ability to produce dopamine. There are several ways to reduce the effects of this disease so far, but unfortunately these have many side effects. For this reason, many attempts have been made to find non-invasive alternative methods that are generally ineffective due to the cost, system weight, and so on.
In this paper, the active method is used to reduce the transmitted vibration to the device. In the proposed scheme, the vibration of the hand is first identified using an ANFIS filter and then by two electric motors and the designed mechanism, a reverse motion is applied using the predictive controller. The simulation results show the system performance in following voluntary movements and eliminating spontaneous vibration from Parkinson's disease.
 
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Type of Article: Research paper | Subject: General
Received: 2019/10/26 | Accepted: 2020/07/10 | ePublished ahead of print: 2020/07/15 | Published: 2021/08/23

References
1. [1] M. G. Baker and L. Graham, "The journey: Parkinson's disease.," BMJ, vol. 329, no. 7466, pp. 611-614, Sep. 2004, doi: 10.1136/bmj.329.7466.611. [DOI:10.1136/bmj.329.7466.611]
2. [2] D. Case, B. Taheri, and E. Richer, "Design and Characterization of a Small-Scale Magnetorheological Damper for Tremor Suppression," IEEE/ASME Trans. Mechatronics, vol. 18, no. 1, pp. 96-103, 2013, doi: 10.1109/TMECH.2011.2151204. [DOI:10.1109/TMECH.2011.2151204]
3. [3] H. M. Zhu and C. M. Pun, "An adaptive superpixel based hand gesture tracking and recognition system," Sci. World J., vol. 2014, 2014, doi: 10.1155/2014/849069. [DOI:10.1155/2014/849069]
4. [4] N. Carbonaro, G. D. Mura, F. Lorussi, R. Paradiso, D. De Rossi, and A. Tognetti, "Exploiting wearable goniometer technology for motion sensing gloves," IEEE J. Biomed. Heal. Informatics, vol. 18, no. 6, pp. 1788-1795, Nov. 2014, doi: 10.1109/JBHI.2014.2324293. [DOI:10.1109/JBHI.2014.2324293]
5. [5] C. Ou, A. Gouldstone, B. K. Jaeger, and R. Sipahi, "Control design for a hand tremor suppression pen," in ASME 2015 Dynamic Systems and Control Conference, DSCC 2015, Jan. 2015, vol. 2, doi: 10.1115/DSCC2015-9962. [DOI:10.1115/DSCC2015-9962]
6. [6] C. N. Riviere, R. Scott Rader, and N. V. Thakor, "Adaptive canceling of physiological tremor for improved precision in microsurgery," IEEE Trans. Biomed. Eng., vol. 45, no. 7, pp. 839-845, 1998, doi: 10.1109/10.686791. [DOI:10.1109/10.686791]
7. [7] E. Ohara, K. Yano, S. Horihata, T. Aoki, and Y. Nishimoto, "Development of Tremor-Suppression filter for Meal-Assist robot," in Proceedings - 3rd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, World Haptics 2009, 2009, pp. 238-243, doi: 10.1109/WHC.2009.4810802. [DOI:10.1109/WHC.2009.4810802]
8. [8] H. Dai, H. Lin, and T. C. Lueth, "Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit," Biomed. Eng. Online, vol. 14, no. 1, p. 68, Jul. 2015, doi: 10.1186/s12938-015-0067-8. [DOI:10.1186/s12938-015-0067-8]
9. [9] A. Lekshmi and K. I. Ramachandran, "Parkinson's Tremor Suppression Using Active Vibration Control Method," IOP Conf. Ser. Mater. Sci. Eng., vol. 577, p. 012056, Dec. 2019, doi: 10.1088/1757-899X/577/1/012056. [DOI:10.1088/1757-899X/577/1/012056]
10. [10] A. As'arry, H. Jamaluddin, T. A. Z. Rahman, K. A. Md Rezali, and M. Z. Md Zain, "Suppression of Parkinson's hand-like tremor using fuzzy-PID controller," in Proceedings - 2016 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2016, Mar. 2017, vol. 2017-March, pp. 1-5, doi: 10.1109/I2CACIS.2016.7921041. [DOI:10.1109/I2CACIS.2016.7921041]
11. [11] M. Nawate, D. Morimoto, S. Fukuma, and S. Honda, "A Painting Tool with Blurring Compensation for People Having Involuntary Hand Motion," researchgate.net, vol. 3, pp. 6-9, 2004, Accessed: Jul. 10, 2020. [Online]. Available: https://www.researchgate.net/publication/228953097.
12. [12] J. G. Gonzalez, E. A. Heredia, T. Rahman, K. E. Barner, and G. R. Arce, "Optimal digital filtering for tremor suppression," IEEE Trans. Biomed. Eng., vol. 47, no. 5, pp. 664-673, 2000, doi: 10.1109/10.841338. [DOI:10.1109/10.841338]
13. [13] M. Abbasi, A. Afsharfard, R. Arasteh, and J. Safaie, "Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study," Med. Biol. Eng. Comput., vol. 56, no. 7, pp. 1315-1324, Jul. 2018, doi: 10.1007/s11517-017-1769-9. [DOI:10.1007/s11517-017-1769-9]
14. [14] H. G. Han, H. H. Qian, and J. F. Qiao, "Nonlinear multiobjective model-predictive control scheme for wastewater treatment process," J. Process Control, vol. 24, no. 3, pp. 47-59, Mar. 2014, doi: 10.1016/j.jprocont.2013.12.010. [DOI:10.1016/j.jprocont.2013.12.010]
15. [15] R. K. Al Seyab and Y. Cao, "Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation," J. Process Control, vol. 18, no. 6, pp. 568-581, Jul. 2008, doi: 10.1016/j.jprocont.2007.10.012. [DOI:10.1016/j.jprocont.2007.10.012]
16. [16] Z. Liu, Q. Wu, Y. Zhang, and C. L. P. Chen, "Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery," Int. J. Mach. Learn. Cybern., vol. 2, no. 1, pp. 37-47, Feb. 2011, doi: 10.1007/s13042-011-0012-5. [DOI:10.1007/s13042-011-0012-5]
17. [17] Y. T. Liu, Y. Y. Lin, S. L. Wu, C. H. Chuang, and C. T. Lin, "Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network," IEEE Trans. Neural Networks Learn. Syst., vol. 27, no. 2, pp. 347-360, Feb. 2016, doi: 10.1109/TNNLS.2015.2496330. [DOI:10.1109/TNNLS.2015.2496330]
18. [18] G. Grimaldi, P. Lammertse, N. Van Den Braber, J. Meuleman, and M. Manto, "Effects of inertia and wrist oscillations on contralateral neurological postural tremor using the wristalyzer, a new myohaptic device," in IEEE Transactions on Biomedical Circuits and Systems, 2008, vol. 2, no. 4, pp. 269-279, doi: 10.1109/TBCAS.2008.926726. [DOI:10.1109/TBCAS.2008.926726]

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