Sparse analyzer tool for biomedical signals

Bibliographic Details
Main Author: Vujović, Stefan
Publication Date: 2020
Other Authors: Draganić, Andjela, Žarić, Maja Lakičević, Orović, Irena, Daković, Miloš, Beko, Marko, Stanković, Srdjan
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/120347
Summary: IF/00325/2015 PCIF/SSI/0102/2017 UIDB/04111/2020
id RCAP_d6a2051d0a45e58cc40ff0ac8c3d8517
oai_identifier_str oai:run.unl.pt:10362/120347
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:54:19Zoai:run.unl.pt:10362/120347Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:25:17.770110Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596684393775104

Similar Items