Hybrid Bionic Nerve Interface for Application in Bionic Limbs
Abstract Intuitive and perceptual neuroprosthetic systems require a high degree of neural control and a variety of sensory feedback, but reliable neural interfaces for long‐term use that maintain their functionality are limited. Here, a novel hybrid bionic interface is presented, fabricated by integ...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-12-01
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| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202303728 |
| _version_ | 1797389559603920896 |
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| author | Youngjun Cho Hyung Hwa Jeong Heejae Shin Changsik John Pak Jeongmok Cho Yongwoo Kim Donggeon Kim Taehyeon Kim Hoijun Kim Sohee Kim Soonchul Kwon Joon Pio Hong Hyunsuk Peter Suh Sanghoon Lee |
| author_facet | Youngjun Cho Hyung Hwa Jeong Heejae Shin Changsik John Pak Jeongmok Cho Yongwoo Kim Donggeon Kim Taehyeon Kim Hoijun Kim Sohee Kim Soonchul Kwon Joon Pio Hong Hyunsuk Peter Suh Sanghoon Lee |
| author_sort | Youngjun Cho |
| collection | DOAJ |
| description | Abstract Intuitive and perceptual neuroprosthetic systems require a high degree of neural control and a variety of sensory feedback, but reliable neural interfaces for long‐term use that maintain their functionality are limited. Here, a novel hybrid bionic interface is presented, fabricated by integrating a biological interface (regenerative peripheral nerve interface (RPNI)) and a peripheral neural interface to enhance the neural interface performance between a nerve and bionic limbs. This interface utilizes a shape memory polymer buckle that can be easily implanted on a severed nerve and make contact with both the nerve and the muscle graft after RPNI formation. It is demonstrated that this interface can simultaneously record different signal information via the RPNI and the nerve, as well as stimulate them separately, inducing different responses. Furthermore, it is shown that this interface can record naturally evoked signals from a walking rabbit and use them to control a robotic leg. The long‐term functionality and biocompatibility of this interface in rabbits are evaluated for up to 29 weeks, confirming its promising potential for enhancing prosthetic control. |
| first_indexed | 2024-03-08T22:58:37Z |
| format | Article |
| id | doaj.art-8e28a71c1bf745cd9e640f635caec3cf |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-03-08T22:58:37Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-8e28a71c1bf745cd9e640f635caec3cf2023-12-16T04:16:13ZengWileyAdvanced Science2198-38442023-12-011035n/an/a10.1002/advs.202303728Hybrid Bionic Nerve Interface for Application in Bionic LimbsYoungjun Cho0Hyung Hwa Jeong1Heejae Shin2Changsik John Pak3Jeongmok Cho4Yongwoo Kim5Donggeon Kim6Taehyeon Kim7Hoijun Kim8Sohee Kim9Soonchul Kwon10Joon Pio Hong11Hyunsuk Peter Suh12Sanghoon Lee13Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42899 South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42899 South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42899 South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaGraduate School of Smart Convergence Kwangwoon University Seoul 01897 South KoreaDepartment of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42899 South KoreaGraduate School of Smart Convergence Kwangwoon University Seoul 01897 South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Plastic and Reconstructive Surgery Asan Medical Center, University of Ulsan College of Medicine 05505 Seoul South KoreaDepartment of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42899 South KoreaAbstract Intuitive and perceptual neuroprosthetic systems require a high degree of neural control and a variety of sensory feedback, but reliable neural interfaces for long‐term use that maintain their functionality are limited. Here, a novel hybrid bionic interface is presented, fabricated by integrating a biological interface (regenerative peripheral nerve interface (RPNI)) and a peripheral neural interface to enhance the neural interface performance between a nerve and bionic limbs. This interface utilizes a shape memory polymer buckle that can be easily implanted on a severed nerve and make contact with both the nerve and the muscle graft after RPNI formation. It is demonstrated that this interface can simultaneously record different signal information via the RPNI and the nerve, as well as stimulate them separately, inducing different responses. Furthermore, it is shown that this interface can record naturally evoked signals from a walking rabbit and use them to control a robotic leg. The long‐term functionality and biocompatibility of this interface in rabbits are evaluated for up to 29 weeks, confirming its promising potential for enhancing prosthetic control.https://doi.org/10.1002/advs.202303728neural interfaceneuroprostheticregenerative peripheral nerve interfacerobotic legshape memory polymer |
| spellingShingle | Youngjun Cho Hyung Hwa Jeong Heejae Shin Changsik John Pak Jeongmok Cho Yongwoo Kim Donggeon Kim Taehyeon Kim Hoijun Kim Sohee Kim Soonchul Kwon Joon Pio Hong Hyunsuk Peter Suh Sanghoon Lee Hybrid Bionic Nerve Interface for Application in Bionic Limbs Advanced Science neural interface neuroprosthetic regenerative peripheral nerve interface robotic leg shape memory polymer |
| title | Hybrid Bionic Nerve Interface for Application in Bionic Limbs |
| title_full | Hybrid Bionic Nerve Interface for Application in Bionic Limbs |
| title_fullStr | Hybrid Bionic Nerve Interface for Application in Bionic Limbs |
| title_full_unstemmed | Hybrid Bionic Nerve Interface for Application in Bionic Limbs |
| title_short | Hybrid Bionic Nerve Interface for Application in Bionic Limbs |
| title_sort | hybrid bionic nerve interface for application in bionic limbs |
| topic | neural interface neuroprosthetic regenerative peripheral nerve interface robotic leg shape memory polymer |
| url | https://doi.org/10.1002/advs.202303728 |
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