The fractional Fourier transform as a biomedical signal and image processing tool: A review
This 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 characteristi...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/6031
- Acceso en línea:
- http://hdl.handle.net/11407/6031
- Palabra clave:
- Biomedical signal processing
Fractional Fourier transform
Non-stationary signals
Time-frequency analysis
calculation
extraction
filtration
fractional Fourier transform
frequency analysis
image processing
review
signal detection
- Rights
- License
- http://purl.org/coar/access_right/c_16ec
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| dc.title.none.fl_str_mv |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| title |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| spellingShingle |
The fractional Fourier transform as a biomedical signal and image processing tool: A review Biomedical signal processing Fractional Fourier transform Non-stationary signals Time-frequency analysis calculation extraction filtration fractional Fourier transform frequency analysis image processing review signal detection |
| title_short |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| title_full |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| title_fullStr |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| title_full_unstemmed |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| title_sort |
The fractional Fourier transform as a biomedical signal and image processing tool: A review |
| dc.subject.spa.fl_str_mv |
Biomedical signal processing Fractional Fourier transform Non-stationary signals Time-frequency analysis |
| topic |
Biomedical signal processing Fractional Fourier transform Non-stationary signals Time-frequency analysis calculation extraction filtration fractional Fourier transform frequency analysis image processing review signal detection |
| dc.subject.keyword.eng.fl_str_mv |
calculation extraction filtration fractional Fourier transform frequency analysis image processing review signal detection |
| description |
This 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 |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2021-02-05T14:58:54Z |
| dc.date.available.none.fl_str_mv |
2021-02-05T14:58:54Z |
| dc.date.none.fl_str_mv |
2020 |
| dc.type.eng.fl_str_mv |
Review |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_efa0 |
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info:eu-repo/semantics/review |
| dc.identifier.issn.none.fl_str_mv |
2085216 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11407/6031 |
| dc.identifier.doi.none.fl_str_mv |
10.1016/j.bbe.2020.05.004 |
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2085216 10.1016/j.bbe.2020.05.004 |
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http://hdl.handle.net/11407/6031 |
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eng |
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eng |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086895645&doi=10.1016%2fj.bbe.2020.05.004&partnerID=40&md5=1782ceab0532fe652250b662d292534a |
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Elsevier Sp. z o.o. |
| dc.publisher.program.spa.fl_str_mv |
Ingeniería de Sistemas |
| dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ciencias Básicas |
| publisher.none.fl_str_mv |
Elsevier Sp. z o.o. |
| dc.source.none.fl_str_mv |
Biocybernetics and Biomedical Engineering |
| institution |
Universidad de Medellín |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad de Medellin |
| repository.mail.fl_str_mv |
repositorio@udem.edu.co |
| _version_ |
1808481179297382400 |
| spelling |
20202021-02-05T14:58:54Z2021-02-05T14:58:54Z2085216http://hdl.handle.net/11407/603110.1016/j.bbe.2020.05.004This 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 SciencesengElsevier Sp. z o.o.Ingeniería de SistemasFacultad de Ciencias Básicashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086895645&doi=10.1016%2fj.bbe.2020.05.004&partnerID=40&md5=1782ceab0532fe652250b662d292534a40310811093Escabí, M., Chapter 11 – biosignal processing. (2012) Introduction to biomedical engineering, pp. 667-746. , J.D. Enderle J.D. Bronzino Third ed. 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Its Applications, ICFDA 2014, IEEE, pp. 1-5Biocybernetics and Biomedical EngineeringBiomedical signal processingFractional Fourier transformNon-stationary signalsTime-frequency analysiscalculationextractionfiltrationfractional Fourier transformfrequency analysisimage processingreviewsignal detectionThe fractional Fourier transform as a biomedical signal and image processing tool: A reviewReviewinfo:eu-repo/semantics/reviewhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_efa0Gómez-Echavarría, A., Facultad de Ciencias Básicas, Universidad de Medellín, Medellín, ColombiaUgarte, J.P., GIMSC, Universidad de San Buenaventura, Medellín, ColombiaTobón, C., Facultad de Ciencias Básicas, Universidad de Medellín, Medellín, Colombiahttp://purl.org/coar/access_right/c_16ecGómez-Echavarría A.Ugarte J.P.Tobón C.11407/6031oai:repository.udem.edu.co:11407/60312021-02-05 09:58:54.266Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |