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dc.creatorGómez-Echavarría A.
dc.creatorUgarte J.P.
dc.creatorTobón C.
dc.date2020
dc.date.accessioned2021-02-05T14:58:54Z
dc.date.available2021-02-05T14:58:54Z
dc.identifier.issn2085216
dc.identifier.urihttp://hdl.handle.net/11407/6031
dc.descriptionThis work presents a literature review of the fractional Fourier transform (FrFT) investigations and applications in the biomedical field. The FrFT is a time-frequency analysis tool that has been used for signal and image processing due to its capability in capturing the non-stationary characteristics of real signals. Most biomedical signals are an example of such non-stationarity. Thus, the FrFT-based solutions can be formulated, aiming to enhance the health technology. As the literature review indicates, common applications of the FrFT involves signal detection, filtering and features extraction. Establishing adequate solutions for these tasks requires a proper fractional order estimation and implementing the suitable numeric approach for the discrete FrFT calculation. Since most of the reports barely describe the methodology on this regard, it is important that future works include detailed information about the implementation criteria of the FrFT. Although the applications in biomedical sciences are not yet among the most frequent FrFT fields of action, the growing interest of the scientific community in the FrFT, supports its practical usefulness for developing new biomedical tools. © 2020 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
dc.language.isoeng
dc.publisherElsevier Sp. z o.o.
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086895645&doi=10.1016%2fj.bbe.2020.05.004&partnerID=40&md5=1782ceab0532fe652250b662d292534a
dc.sourceBiocybernetics and Biomedical Engineering
dc.subjectBiomedical signal processingspa
dc.subjectFractional Fourier transformspa
dc.subjectNon-stationary signalsspa
dc.subjectTime-frequency analysisspa
dc.titleThe fractional Fourier transform as a biomedical signal and image processing tool: A review
dc.typeRevieweng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.identifier.doi10.1016/j.bbe.2020.05.004
dc.subject.keywordcalculationeng
dc.subject.keywordextractioneng
dc.subject.keywordfiltrationeng
dc.subject.keywordfractional Fourier transformeng
dc.subject.keywordfrequency analysiseng
dc.subject.keywordimage processingeng
dc.subject.keywordrevieweng
dc.subject.keywordsignal detectioneng
dc.relation.citationvolume40
dc.relation.citationissue3
dc.relation.citationstartpage1081
dc.relation.citationendpage1093
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.affiliationGómez-Echavarría, A., Facultad de Ciencias Básicas, Universidad de Medellín, Medellín, Colombia
dc.affiliationUgarte, J.P., GIMSC, Universidad de San Buenaventura, Medellín, Colombia
dc.affiliationTobón, C., Facultad de Ciencias Básicas, Universidad de Medellín, Medellín, Colombia
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