Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study
We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from an electromyography (EMG) control strategy conducted with spinal cord inj...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-01-01
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| Series: | Wearable Technologies |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2631717620000092/type/journal_article |
| _version_ | 1827994286921089024 |
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| author | Youngmok Yun Youngjin Na Paria Esmatloo Sarah Dancausse Alfredo Serrato Curtis A. Merring Priyanshu Agarwal Ashish D. Deshpande |
| author_facet | Youngmok Yun Youngjin Na Paria Esmatloo Sarah Dancausse Alfredo Serrato Curtis A. Merring Priyanshu Agarwal Ashish D. Deshpande |
| author_sort | Youngmok Yun |
| collection | DOAJ |
| description | We have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from an electromyography (EMG) control strategy conducted with spinal cord injury (SCI) patients (C5, C6, and C7) in which the subjects completed daily tasks controlling Maestro with EMG signals from their forearm muscles. With its compliant actuation and its degrees of freedom that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test, and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects. |
| first_indexed | 2024-04-10T04:38:41Z |
| format | Article |
| id | doaj.art-81dca0efd82e49969677a1bd1f47adee |
| institution | Directory Open Access Journal |
| issn | 2631-7176 |
| language | English |
| last_indexed | 2024-04-10T04:38:41Z |
| publishDate | 2020-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Wearable Technologies |
| spelling | doaj.art-81dca0efd82e49969677a1bd1f47adee2023-03-09T12:43:45ZengCambridge University PressWearable Technologies2631-71762020-01-01110.1017/wtc.2020.9Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility studyYoungmok Yun0Youngjin Na1https://orcid.org/0000-0002-0393-8622Paria Esmatloo2Sarah Dancausse3Alfredo Serrato4Curtis A. Merring5Priyanshu Agarwal6Ashish D. Deshpande7Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Systems Engineering, Sookmyung Women’s University, Seoul, Republic of KoreaDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USADepartment of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, USAWe have developed a one-of-a-kind hand exoskeleton, called Maestro, which can power finger movements of those surviving severe disabilities to complete daily tasks using compliant joints. In this paper, we present results from an electromyography (EMG) control strategy conducted with spinal cord injury (SCI) patients (C5, C6, and C7) in which the subjects completed daily tasks controlling Maestro with EMG signals from their forearm muscles. With its compliant actuation and its degrees of freedom that match the natural finger movements, Maestro is capable of helping the subjects grasp and manipulate a variety of daily objects (more than 15 from a standardized set). To generate control commands for Maestro, an artificial neural network algorithm was implemented along with a probabilistic control approach to classify and deliver four hand poses robustly with three EMG signals measured from the forearm and palm. Increase in the scores of a standardized test, called the Sollerman hand function test, and enhancement in different aspects of grasping such as strength shows feasibility that Maestro can be capable of improving the hand function of SCI subjects.https://www.cambridge.org/core/product/identifier/S2631717620000092/type/journal_articleelectromyographygrasphand exoskeletonspinal cord injury |
| spellingShingle | Youngmok Yun Youngjin Na Paria Esmatloo Sarah Dancausse Alfredo Serrato Curtis A. Merring Priyanshu Agarwal Ashish D. Deshpande Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study Wearable Technologies electromyography grasp hand exoskeleton spinal cord injury |
| title | Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study |
| title_full | Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study |
| title_fullStr | Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study |
| title_full_unstemmed | Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study |
| title_short | Improvement of hand functions of spinal cord injury patients with electromyography-driven hand exoskeleton: A feasibility study |
| title_sort | improvement of hand functions of spinal cord injury patients with electromyography driven hand exoskeleton a feasibility study |
| topic | electromyography grasp hand exoskeleton spinal cord injury |
| url | https://www.cambridge.org/core/product/identifier/S2631717620000092/type/journal_article |
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