Publication: Information and communication theoretical understanding and treatment of spinal cord injuries: state-of-the-art and research challenges
dc.contributor.coauthor | Ramezani, Hamideh | |
dc.contributor.coauthor | Bilgin, Bilgesu A. | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Civaş, Meltem | |
dc.contributor.kuauthor | Akan, Özgür Barış | |
dc.contributor.kuauthor | Çetinkaya, Oktay | |
dc.contributor.kuauthor | Abbasi, Naveed Ahmed | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2025-01-19T10:27:45Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Among the various key networks in the human body, the nervous system occupies central importance. The debilitating effects of spinal cord injuries (SCI) impact a significant number of people throughout the world, and to date, there is no satisfactory method to treat them. In this paper, we review the major treatment techniques for SCI that include promising solutions based on information and communication technology (ICT) and identify the key characteristics of such systems. We then introduce two novel ICT-based treatment approaches for SCI. The first proposal is based on neural interface systems (NIS) with enhanced feedback, where the external machines are interfaced with the brain and the spinal cord such that the brain signals are directly routed to the limbs for movement. The second proposal relates to the design of self-organizing artificial neurons (ANs) that can be used to replace the injured or dead biological neurons. Apart from SCI treatment, the proposed methods may also be utilized as enabling technologies for neural interface applications by acting as bio-cyber interfaces between the nervous system and machines. Furthermore, under the framework of Internet of Bio-Nano Things (IoBNT), experience gained from SCI treatment techniques can be transferred to nano communication research. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.openaccess | Green Submitted | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | This work was supported in part by ERC project MINERVA (ERC-2013-CoG #616922), AXA Chair for Internet of Everything and in part by Huawei Graduate Research Scholarship. | |
dc.description.volume | 16 | |
dc.identifier.doi | 10.1109/RBME.2021.3056455 | |
dc.identifier.eissn | 1941-1189 | |
dc.identifier.issn | 1937-3333 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85100715781 | |
dc.identifier.uri | https://doi.org/10.1109/RBME.2021.3056455 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/25601 | |
dc.identifier.wos | 966607500001 | |
dc.keywords | Neurons | |
dc.keywords | Injuries | |
dc.keywords | Muscles | |
dc.keywords | Axons | |
dc.keywords | Nervous system | |
dc.keywords | Synapses | |
dc.keywords | Spinal cord injury | |
dc.keywords | Spinal cord injuries | |
dc.keywords | Spinal treatments | |
dc.keywords | Neural interface systems | |
dc.keywords | Artificial neurons | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.grantno | ERC project MINERVA (ERC-2013-CoG) [616922]; AXA Chair for Internet of Everything; Huawei Graduate Research Scholarship; European Research Council (ERC) [616922] Funding Source: European Research Council (ERC) | |
dc.relation.ispartof | IEEE Reviews in Biomedical Engineering | |
dc.subject | Engineering, biomedical | |
dc.title | Information and communication theoretical understanding and treatment of spinal cord injuries: state-of-the-art and research challenges | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Akan, Özgür Barış | |
local.contributor.kuauthor | Civaş, Meltem | |
local.contributor.kuauthor | Çetinkaya, Oktay | |
local.contributor.kuauthor | Abbasi, Naveed Ahmed | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
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