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

dc.contributor.coauthorBilgin, Bilgesu Arif
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuauthorCivaş, Meltem
dc.contributor.kuauthorÇetinkaya, Oktay
dc.contributor.kuauthorRamezani, Hamideh
dc.contributor.kuauthorAbbasi, Naveed Ahmed
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileResearcher
dc.contributor.kuprofilePhD Student
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T12:39:08Z
dc.date.issued2021
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 BioNano Things (IoBNT), experience gained from SCI treatment techniques can be transferred to nano communication research.
dc.description.fulltextYES
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionAuthor's final manuscript
dc.description.volume16
dc.formatpdf
dc.identifier.doi10.1109/RBME.2021.3056455
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02744
dc.identifier.issn1937-3333
dc.identifier.linkhttps://doi.org/10.1109/RBME.2021.3056455
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85100715781
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2053
dc.keywordsArtificial neurons
dc.keywordsAxons
dc.keywordsInjuries
dc.keywordsMuscles
dc.keywordsNervous system
dc.keywordsNeural interface systems
dc.keywordsNeurons
dc.keywordsSpinal cord injuries
dc.keywordsSpinal cord injury
dc.keywordsSpinal treatments
dc.keywordsSynapses
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantnoNA
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9388
dc.sourceIEEE Reviews in Biomedical Engineering
dc.subjectBrain computer interface
dc.subjectMotor cortex
dc.subjectDecoding
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.kuauthorRamezani, Hamideh
local.contributor.kuauthorAbbasi, Naveed Ahmed
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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