한빛사 논문
Hyunseon Seoa,b, Sang Ihn Hanc,d, Kang-Il Songe, Duhwan Seongf, Kyungwoo Leeb, Sun Hong Kimg, Taesung Parkh, Ja Hoon Kooc,i, Mikyung Shinj,k, Hyoung Won Baacf, Ok Kyu Parkc,d, Soong Ju Ohh, Hyung-Seop Hanb, Hojeong Jeonb, Yu-Chan Kimb, Dae-Hyeong Kimc,d,i,*, Taeghwan Hyeonc,d,i,* and Donghee Sonf,k,l,*
aSchool of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea
bCenter for Biomaterials, Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
cCenter for Nanoparticle Research, Institute of Basic Science (IBS), Seoul 08826, Republic of Korea
dSchool of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
eMedical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu 41061, Republic of Korea
fDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
gDepartment of Electrical and Computer Engineering, Inter-University Semiconductor Research Center, Seoul National University, Seoul 08826, Republic of Korea
hDepartment of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
iInterdisciplinary Program for Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
jDepartment of Biomedical Engineering, SKKU Institute for Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
kCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
lDepartment of Superintelligence Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
H.S., S.I.H., and K.-I.S. contributed equally to this work.
*To whom correspondence should be addressed.
Abstract
Soft neuroprosthetics that monitor signals from sensory neurons and deliver motor information can potentially replace damaged nerves. However, achieving long‐term stability of devices interfacing peripheral nerves is challenging, since dynamic mechanical deformations in peripheral nerves cause material degradation in devices. Here, a durable and fatigue‐resistant soft neuroprosthetic device is reported for bidirectional signaling on peripheral nerves. The neuroprosthetic device is made of a nanocomposite of gold nanoshell (AuNS)‐coated silver (Ag) flakes dispersed in a tough, stretchable, and self‐healing polymer (SHP). The dynamic self‐healing property of the nanocomposite allows the percolation network of AuNS‐coated flakes to rebuild after degradation. Therefore, its degraded electrical and mechanical performance by repetitive, irregular, and intense deformations at the device–nerve interface can be spontaneously self‐recovered. When the device is implanted on a rat sciatic nerve, stable bidirectional signaling is obtained for over 5 weeks. Neural signals collected from a live walking rat using these neuroprosthetics are analyzed by a deep neural network to predict the joint position precisely. This result demonstrates that durable soft neuroprosthetics can facilitate collection and analysis of large‐sized in vivo data for solving challenges in neurological disorders.
Keywords : conducting nanocomposites, fatigue-resistant nanocomposites, in vivo bidirectional signaling, soft peripheral neuroprosthetics
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