Sparse analyzer tool for biomedical signals

Detalhes bibliográficos
Autor(a) principal: Vujović, Stefan
Data de Publicação: 2020
Outros Autores: Draganić, Andjela, Žarić, Maja Lakičević, Orović, Irena, Daković, Miloš, Beko, Marko, Stanković, Srdjan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/120347
Resumo: IF/00325/2015 PCIF/SSI/0102/2017 UIDB/04111/2020
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spelling Sparse analyzer tool for biomedical signalsBiomedical signalsCompressive sensingConcentration measureGradient algorithmOMPSIRASparse signal processingStatistical analyzerTV minimizationVirtual instrumentAnalytical ChemistryBiochemistryAtomic and Molecular Physics, and OpticsInstrumentationElectrical and Electronic EngineeringIF/00325/2015 PCIF/SSI/0102/2017 UIDB/04111/2020The virtual (software) instrument with a statistical analyzer for testing algorithms for biomedical signals’ recovery in compressive sensing (CS) scenario is presented. Various CS reconstruction algorithms are implemented with the aim to be applicable for different types of biomedical signals and different applications with under-sampled data. Incomplete sampling/sensing can be considered as a sort of signal damage, where missing data can occur as a result of noise or the incomplete signal acquisition procedure. Many approaches for recovering the missing signal parts have been developed, depending on the signal nature. Here, several approaches and their applications are presented for medical signals and images. The possibility to analyze results using different statistical parameters is provided, with the aim to choose the most suitable approach for a specific application. The instrument provides manifold possibilities such as fitting different parameters for the considered signal and testing the efficiency under different percentages of missing data. The reconstruction accuracy is measured by the mean square error (MSE) between original and reconstructed signal. Computational time is important from the aspect of power requirements, thus enabling the selection of a suitable algorithm. The instrument contains its own signal database, but there is also the possibility to load any external data for analysis.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNVujović, StefanDraganić, AndjelaŽarić, Maja LakičevićOrović, IrenaDaković, MilošBeko, MarkoStanković, Srdjan2021-07-01T22:19:04Z2020-05-022020-05-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/120347eng1424-8220PURE: 32291391https://doi.org/10.3390/s20092602info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:02:54Zoai:run.unl.pt:10362/120347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:20.554847Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Sparse analyzer tool for biomedical signals
title Sparse analyzer tool for biomedical signals
spellingShingle Sparse analyzer tool for biomedical signals
Vujović, Stefan
Biomedical signals
Compressive sensing
Concentration measure
Gradient algorithm
OMP
SIRA
Sparse signal processing
Statistical analyzer
TV minimization
Virtual instrument
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
title_short Sparse analyzer tool for biomedical signals
title_full Sparse analyzer tool for biomedical signals
title_fullStr Sparse analyzer tool for biomedical signals
title_full_unstemmed Sparse analyzer tool for biomedical signals
title_sort Sparse analyzer tool for biomedical signals
author Vujović, Stefan
author_facet Vujović, Stefan
Draganić, Andjela
Žarić, Maja Lakičević
Orović, Irena
Daković, Miloš
Beko, Marko
Stanković, Srdjan
author_role author
author2 Draganić, Andjela
Žarić, Maja Lakičević
Orović, Irena
Daković, Miloš
Beko, Marko
Stanković, Srdjan
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Vujović, Stefan
Draganić, Andjela
Žarić, Maja Lakičević
Orović, Irena
Daković, Miloš
Beko, Marko
Stanković, Srdjan
dc.subject.por.fl_str_mv Biomedical signals
Compressive sensing
Concentration measure
Gradient algorithm
OMP
SIRA
Sparse signal processing
Statistical analyzer
TV minimization
Virtual instrument
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
topic Biomedical signals
Compressive sensing
Concentration measure
Gradient algorithm
OMP
SIRA
Sparse signal processing
Statistical analyzer
TV minimization
Virtual instrument
Analytical Chemistry
Biochemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Electrical and Electronic Engineering
description IF/00325/2015 PCIF/SSI/0102/2017 UIDB/04111/2020
publishDate 2020
dc.date.none.fl_str_mv 2020-05-02
2020-05-02T00:00:00Z
2021-07-01T22:19:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/120347
url http://hdl.handle.net/10362/120347
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
PURE: 32291391
https://doi.org/10.3390/s20092602
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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