An EMG-based Prosthetic Hand Design and Control Through Dynamic Time Warping
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PDF downloads: 48
Keywords:
Biomechatronics, Myoelectric Signals,, Prosthetic Hand, Feedback ControlAbstract
This study presents a new method to control prosthetic hands by utilizing Dynamic Time
Warping (DTW) to accurately evaluate muscle contraction similarity. The objective of this research is to
offer precise grip control for individuals who require prosthetic solutions. The study focuses on whether
the implementation of the DTW algorithm can significantly improve the control accuracy and usability of
myoelectric prosthetic hands. The initial prototypes of the prosthetic hand demonstrated promising results
in achieving fundamental gripping functions through DTW-based control. The proposed prosthetic hand
design points to the importance of leveraging advanced control algorithms, such as DTW, to address the
specific needs of individuals requiring prosthetic solutions. By improving the prosthetic technology, the
study aims to provide solutions that meet the unique challenges faced by individuals who are in need of a
prosthetic hand.
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References
Hernigou, P. (2013, April). Ambroise Paré IV: The early history of artificial limbs (from robotic to prostheses). International Orthopaedics, 37(6). doi:10.1007/s00264-013-1884-7
Abdhul, A. A., Subramani, D., Ganesan, J., Subramaniam, S., & Dharani, K. G. (2020, April 23). Design and development of EMG based prosthetic arm. In 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) (pp. 1-5). doi:10.1109/ICACCS48705.2020.9074206
Uluöz, M., & Gökmen, M. Y. (2023, October 26). The 2023 Turkey Earthquake: Management of 627 Pediatric Musculoskeletal Injuries in the First Month. Children, Advance online publication. doi:10.3390/children10111733
Ergani, H. M., Özmut, Ö., Yıldırım, F., Çit, R., Yaşar, B., & Ünlü, R. E. (2023, May 25). Evaluation of the 2023 Kahramanmaras earthquake from the perspective of Plastic Surgery Department: A single-center experience. Journal of Disaster and Reconstructive Surgery, Advance online publication. doi:10.52312/jdrs.2023.1107
Ziegler-Graham, K., MacKenzie, E. J., Ephraim, P. L., Travison, T. G., & Brookmeyer, R. (2008, March). Estimating the prevalence of limb loss in the United States: 2005 to 2050. Archives of Physical Medicine and Rehabilitation, 89(3), 422-429. doi:10.1016/j.apmr.2007.11.005
Franzke, A. W., Kristoffersen, M. B., Bongers, R. M., Murgia, A., Pobatschnig, B., Unglaube, F., & van der Sluis, C. K. (2019). Users’ and therapists’ perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition control. PLoS ONE, 14(8), e0220899. https://doi.org/10.1371/journal.pone.0220899
Atasoy, A., Kaya, E., Toptas, E., Kuchimov, S., Kaplanoglu, E., & Ozkan, M. (2016, October 18). 24 DOF EMG controlled hybrid actuated prosthetic hand. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2452-2455). doi:10.1109/EMBC.2016.7591864
Wattanasiri, P., Tangpornprasert, P., & Virulsri, C. (2018, April 23). Design of multi-grip patterns prosthetic hand with single actuator. IEEE Transactions on Neural Systems and Rehabilitation Engineering. doi:10.1109/TNSRE.2018.2829152
Ahmed, S. F., Tanveer, M. H., Kiwarkis, I. J., & Basy, H. B. (2020, May 14). Design and controlling of low-cost prosthetic hand using force sensor. In 2020 5th International Conference on Information and Communication Technologies (ICICT) (pp. 1-5). doi:10.1109/ICICT50521.2020.00061
Ismail, R., Wijaya, G. D., Ariyanto, M., Suriyanto, A., & Caesarendra, W. (2018, December 20). Development of myoelectric prosthetic hand based on Arduino IDE and Visual C# for trans-radial amputee in Indonesia. In 2018 International Conference on Control, Automation and Robotics (ICCAR) (pp. 451-454). doi:10.1109/INCAE.2018.8579393
Akgün, G., Demetgül, M., & Kaplanoglu, E. (2013). EMG Sinyallerinin Öznitelik Çıkarımı ve Geri Yayılımlı Yapay Sinir Ağı Algoritması İle Sınıflandırılması.
Berndt, D.J., & Clifford, J. (1994). Using Dynamic Time Warping to Find Patterns in Time Series. KDD Workshop.
Hoshigawa, S., Jiang, Y., Kato, R., Morishita, S., Nakamura, T., Yabuki, Y., & Yokoi, H. (2015). Structure design for a two-DoF myoelectric prosthetic hand to realize basic hand functions in ADLs. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4781-4784). doi:10.1109/EMBC.2015.7319463.
Chen, Z., Min, H., Wang, D., Xia, Z., Sun, F., & Fang, B. (2023, July 24). A review of myoelectric control for prosthetic hand manipulation. Biomimetics, 8(3). doi:10.3390/biomimetics8030328
Open Bionics. (n.d.). The Hero Arm. Retrieved from https://openbionics.com/en/get-a-hero-arm/
