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https://doi.org/10.1002/admt.201900856
Title: | Bioinspired Prosthetic Interfaces | Authors: | Li, Pengju Ali, Hashing Parveen Anwar Cheng, Wen Yang, Jingyi Tee, Benjamin CK |
Keywords: | Science & Technology Technology Materials Science, Multidisciplinary Materials Science Eectronic skins Neural interfaces Tactile encoding sensors CONDUCTING POLYMER ELECTRODES MULTICHANNEL NEURAL PROBE FLEXIBLE PRESSURE SENSORS SELF-POWERED PRESSURE TRIBOELECTRIC NANOGENERATORS LARGE-AREA ACTION-POTENTIALS ELECTRICAL-STIMULATION MECHANICAL-PROPERTIES MULTIELECTRODE ARRAY |
Issue Date: | 4-Feb-2020 | Publisher: | WILEY | Citation: | Li, Pengju, Ali, Hashing Parveen Anwar, Cheng, Wen, Yang, Jingyi, Tee, Benjamin CK (2020-02-04). Bioinspired Prosthetic Interfaces. ADVANCED MATERIALS TECHNOLOGIES 5 (3). ScholarBank@NUS Repository. https://doi.org/10.1002/admt.201900856 | Abstract: | © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Mechanical replacement prosthetics have advanced in both esthetics and mechanical functions, but still require progress in attaining full natural functionality via tactile feedback. Through bioinspiration of the somatosensory system, recent works in the development of materials and technologies at three critical interfaces have shown great advancements: skin-inspired multifunctionality at the prosthetic level using flexible electronics, artificial transmission of the biosignals between the prosthesis and nervous system, and stimulation and recording of these signals with mechanically compliant, implantable neural interfaces. Herein, a systematic study of the artificial skin sensation pathways for the prosthetic interfaces is discussed together with the current state-of-the-art technologies and prospective strategies to enable the complete sensory feedback loop in prosthetics through the use of biomimetic sensing platforms, artificial synapses, and neural interrogation electronics. | Source Title: | ADVANCED MATERIALS TECHNOLOGIES | URI: | https://scholarbank.nus.edu.sg/handle/10635/168863 | ISSN: | 2365709X | DOI: | 10.1002/admt.201900856 |
Appears in Collections: | Staff Publications Elements |
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AMT Review Paper_FinalVersion_v1.7_Accepted_081119.docx | Accepted version | 22.9 MB | Microsoft Word XML | OPEN | Post-print | View/Download |
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