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Information and communication theoretical understanding and treatment of spinal cord injuries: state-of-the-art and research challenges

dc.contributor.coauthorRamezani, Hamideh
dc.contributor.coauthorBilgin, Bilgesu A.
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorCivaş, Meltem
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuauthorÇetinkaya, Oktay
dc.contributor.kuauthorAbbasi, Naveed Ahmed
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2025-01-19T10:27:45Z
dc.date.issued2023
dc.description.abstractAmong 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.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessGreen Submitted
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis 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.volume16
dc.identifier.doi10.1109/RBME.2021.3056455
dc.identifier.eissn1941-1189
dc.identifier.issn1937-3333
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85100715781
dc.identifier.urihttps://doi.org/10.1109/RBME.2021.3056455
dc.identifier.urihttps://hdl.handle.net/20.500.14288/25601
dc.identifier.wos966607500001
dc.keywordsNeurons
dc.keywordsInjuries
dc.keywordsMuscles
dc.keywordsAxons
dc.keywordsNervous system
dc.keywordsSynapses
dc.keywordsSpinal cord injury
dc.keywordsSpinal cord injuries
dc.keywordsSpinal treatments
dc.keywordsNeural interface systems
dc.keywordsArtificial neurons
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.grantnoERC 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.ispartofIEEE Reviews in Biomedical Engineering
dc.subjectEngineering, biomedical
dc.titleInformation and communication theoretical understanding and treatment of spinal cord injuries: state-of-the-art and research challenges
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorAkan, Özgür Barış
local.contributor.kuauthorCivaş, Meltem
local.contributor.kuauthorÇetinkaya, Oktay
local.contributor.kuauthorAbbasi, Naveed Ahmed
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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