3D Printed Myoelectric Hand Orthosis With Force Control
Pages 12 - 17
Abstract
Loss of control in gripping with the hand is a possible long term effect of stroke. Recovery from this is possible through rehabilitation. Nowadays, robotic assistive technology are being explored and used for such rehabilitation. By taking the surface electromyography signal from the arm, the recovering stroke patient is able to control the robotic assistive technology for rehabilitation. This is the myoelectric hand orthosis. This paper explored the potential of using the magnitude of the surface electromyography signal to control the force being exerted by the hand orthosis and make it proportional to the intended force of the user. Testing results showed a linear and directly proportional relationship between force application of a user and magnitude of the electromyography signal, which allows this control signal to be used in force control applications of the prototype. The prototype recorded a maximum force of 25.48 N that it can supply to assist the user in gripping motions. It also had an 86% response accuracy for grip and release motions of the hand.
References
[1]
E. Clancy, F. Negro, and D. Farina. 2016. Single-Channel Techniques for Information Extraction From the Surface EMG Signal.
[2]
Jonas Ebbecke. 2020. Electromyography - Basics of Practical Application. https://www.biomechanist.net/
[3]
Ashraf Gorgey, Ryan Sumrell, and Lance Goetz. 2019. Exoskeletal Assisted Rehabilitation After Spinal Cord Injury. Elsevier Inc.
[4]
Seunggu Han. 2018. Stroke Recovery: What to Expect. Healthline. https://www.healthline.com/health/stroke/recovery
[5]
Neville Hogan, Hermano Krebs, Brandon Rohrer, Jerome Palazzolo, Laura Dipietro, Susan Fasoli, Joel Stein, Richard Hughes, Walter Frontera, Daniel Lynch, and Bruce Volpe. 2006. Motions or muscles? Some behavioral factors underlying robotic. Journal of Rehabilitation and Development (2006). https://doi.org/10.1682/jrrd.2005.06.0103
[6]
C.G. McDonald, J.L. Sullivan, T.A. Dennis, and M.K. O’Malley. 2020. A Myoelectric Control Interface for Upper-Limb Robotic Rehabilitation Following Spinal Cord Injury. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, 4 (2020), 978–987. https://doi.org/10.1109/TNSRE.2020.2979743
[7]
R. Merletti, A. Botter, and U. Barone. 2016. Detection and Conditioning of Surface EMG Signals.
[8]
Roberto Merletti and Dario Farina. 2016. Surface Electromyography: Physiology, Engineering, and Applications. John Wiley & Sons, Inc.
[9]
Christian Pozzi, Alessandro Lanzoni, Maud Graff, and Alessandro Morandi. 2020. Occupational Therapy for Older People. Springer Nature Switzerland AG.
[10]
Hyun-Joon Yoo, Sangbaek Lee, Jongheon Kim, Chanki Park, and Boreom Lee. 2019. Development of 3D-Printed Myoelectric Hand Orthosis for Patients With Spinal Cord Injury. Journal of NeuroEngineering and Rehabilitation (Dec 2019). https://doi.org/10.1186/s12984-019-0633-6.
Index Terms
- 3D Printed Myoelectric Hand Orthosis With Force Control
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Published In
July 2024
53 pages
ISBN:9798400716706
DOI:10.1145/3685073
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 August 2024
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RCVE 2024
RCVE 2024: 2024 2nd International Conference On Robotics, Control And Vision Engineering
July 19 - 21, 2024
Hong Kong, Hong Kong
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