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dc.contributor.authorPeña Ortega, Raúl
dc.contributor.authorÁvila Ortega, Alfonso
dc.contributor.authorLavariega Joaquin, Juan Carlos
dc.creatorPEÑA ORTEGA, RAUL; 256806es
dc.creatorAVILA ORTEGA, ALFONSO; 31866es
dc.creatorLAVARIEGA JARQUIN, JUAN CARLOS; 11120es
dc.date2015
dc.date.accessioned2018-10-18T22:08:23Z
dc.date.available2018-10-18T22:08:23Z
dc.identifier.issn23146133
dc.identifier.doi10.1155/2015/514087
dc.identifier.urihttp://hdl.handle.net/11285/630570
dc.descriptionThe recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety and effectiveness in medical care. Physicians can rely on video-waveform (VW) observations to recognize difficult-to-spot signs and symptoms. The VW observations can also reduce the number of false positive incidents and expand the recognition coverage to abnormal health conditions. The synchronization between the video images and the physiological-signal waveforms is fundamental for the successful recognition of the clinical manifestations. The use of conventional equipment to synchronously acquire and display the video-waveform information involves complex tasks such as the video capture/compression, the acquisition/compression of each physiological signal, and the video-waveform synchronization based on timestamps. This paper introduces a data hiding technique capable of both enabling embedding channels and synchronously hiding samples of physiological signals into encoded video sequences. Our data hiding technique offers large data capacity and simplifies the complexity of the video-waveform acquisition and reproduction. The experimental results revealed successful embedding and full restoration of signal's samples. Our results also demonstrated a small distortion in the video objective quality, a small increment in bit-rate, and embedded cost savings of -2.6196% for high and medium motion video sequences. © 2015 Raul Peña et al.
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84941243039&doi=10.1155%2f2015%2f514087&partnerID=40&md5=a2144f98e5136c17c1022f511aa81d79
dc.relationInvestigadores
dc.relationEstudiantes
dc.relation.ispartofREPOSITORIO NACIONAL CONACYT
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceBioMed Research International
dc.subjectArticle
dc.subjectcomputer security
dc.subjectcost control
dc.subjectdata hiding technique
dc.subjectembedding
dc.subjecthuman
dc.subjectmedical care
dc.subjectmedical information
dc.subjectphysician
dc.subjectrecognition
dc.subjectvideorecording
dc.subjecthealth care delivery
dc.subjectinformation processing
dc.subjectmedical informatics
dc.subjectstatistics
dc.subjecttrends
dc.subjectData Compression
dc.subjectDelivery of Health Care
dc.subjectHumans
dc.subjectMedical Informatics
dc.subjectStatistics as Topic
dc.subjectVideo Recording
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleA data hiding technique to synchronously embed physiological signals in H.264/AVC encoded video for medicine healthcare
dc.typeArtículo
dc.identifier.volume2015
refterms.dateFOA2018-10-18T22:08:23Z


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