Publication:
Embedding and retrieving private metadata in electrocardiograms

dc.contributor.coauthorVlachos, Michail
dc.contributor.coauthorLucchese, Claudio
dc.contributor.coauthorVan Herle, Helga
dc.contributor.coauthorYu, Philip S
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorKozat, Süleyman Serdar
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-10T00:10:59Z
dc.date.issued2009
dc.description.abstractDue to the recent explosion of 'identity theft' cases, the safeguarding of private data has been the focus of many scientific efforts. Medical data contain a number of sensitive attributes, whose access the rightful owner would ideally like to disclose only to authorized personnel. One way of providing limited access to sensitive data is through means of encryption. In this work we follow a different path, by proposing the fusion of the sensitive metadata within the medical data. Our work is focused on medical time-series signals and in particular on Electrocardiograms (ECG). We present techniques that allow the embedding and retrieval of sensitive numerical data, such as the patient's social security number or birth date, within the medical signal. The proposed technique not only allows the effective hiding of the sensitive metadata within the signal itself, but it additionally provides a way of authenticating the data ownership or providing assurances about the origin of the data. Our methodology builds upon watermarking notions, and presents the following desirable characteristics: (a) it does not distort important ECG characteristics, which are essential for proper medical diagnosis, (b) it allows not only the embedding but also the efficient retrieval of the embedded data, (c) it provides resilience and fault tolerance by employing multistage watermarks (both robust and fragile). Our experiments on real ECG data indicate the viability of the proposed scheme.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue4
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume33
dc.identifier.doi10.1007/s10916-008-9185-1
dc.identifier.eissn1573-689X
dc.identifier.issn0148-5598
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-67650687144
dc.identifier.urihttps://doi.org/10.1007/s10916-008-9185-1
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17399
dc.identifier.wos267222900001
dc.keywordsECG
dc.keywordsFragile watermark
dc.keywordsRobust watermark
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofJournal of Medical Systems
dc.subjectHealth care sciences and services
dc.subjectMedical informatics
dc.titleEmbedding and retrieving private metadata in electrocardiograms
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKozat, Süleyman Serdar
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files