Application of spatio-temporal filtering for atrial activity waveforms enhancement

In this paper, we propose to apply spatio-temporal filtering to atrial activity enhancement, prior to the detection of possible atrial arrhythmias. During normal sinus rhythm, the atrial activity is well synchronized with the ventricular one. The distances between ventricular QRS complexes and the p...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8962
Acceso en línea:
https://hdl.handle.net/20.500.12585/8962
Palabra clave:
Atrial activity enhancement
Atrial fibrillation
Spatial filtering
Spatio temporal filtering
Diseases
Electrocardiography
Flutter (aerodynamics)
Image processing
Seismic waves
Synchronization
Atrial activity
Atrial arrhythmia
Atrial fibrillation
Atrial flutter
Normal sinus rhythm
Pregnant woman
Spatial filterings
Spatio temporal filtering
Biomedical signal processing
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UTB2_75bd0e406fecd27449fbc13083b88805
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/8962
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv Application of spatio-temporal filtering for atrial activity waveforms enhancement
title Application of spatio-temporal filtering for atrial activity waveforms enhancement
spellingShingle Application of spatio-temporal filtering for atrial activity waveforms enhancement
Atrial activity enhancement
Atrial fibrillation
Spatial filtering
Spatio temporal filtering
Diseases
Electrocardiography
Flutter (aerodynamics)
Image processing
Seismic waves
Synchronization
Atrial activity
Atrial arrhythmia
Atrial fibrillation
Atrial flutter
Normal sinus rhythm
Pregnant woman
Spatial filterings
Spatio temporal filtering
Biomedical signal processing
title_short Application of spatio-temporal filtering for atrial activity waveforms enhancement
title_full Application of spatio-temporal filtering for atrial activity waveforms enhancement
title_fullStr Application of spatio-temporal filtering for atrial activity waveforms enhancement
title_full_unstemmed Application of spatio-temporal filtering for atrial activity waveforms enhancement
title_sort Application of spatio-temporal filtering for atrial activity waveforms enhancement
dc.subject.keywords.none.fl_str_mv Atrial activity enhancement
Atrial fibrillation
Spatial filtering
Spatio temporal filtering
Diseases
Electrocardiography
Flutter (aerodynamics)
Image processing
Seismic waves
Synchronization
Atrial activity
Atrial arrhythmia
Atrial fibrillation
Atrial flutter
Normal sinus rhythm
Pregnant woman
Spatial filterings
Spatio temporal filtering
Biomedical signal processing
topic Atrial activity enhancement
Atrial fibrillation
Spatial filtering
Spatio temporal filtering
Diseases
Electrocardiography
Flutter (aerodynamics)
Image processing
Seismic waves
Synchronization
Atrial activity
Atrial arrhythmia
Atrial fibrillation
Atrial flutter
Normal sinus rhythm
Pregnant woman
Spatial filterings
Spatio temporal filtering
Biomedical signal processing
description In this paper, we propose to apply spatio-temporal filtering to atrial activity enhancement, prior to the detection of possible atrial arrhythmias. During normal sinus rhythm, the atrial activity is well synchronized with the ventricular one. The distances between ventricular QRS complexes and the preceding atrial P waves are approximately constant. However, during atrial arrhythmias such a synchronization does not exist. Although both atrial fibrillation (AF) and atrial flutter (AFL) are also characterized by irregularity of RR intervals, nevertheless it is this lack of atrioventricular synchronization and the associated irregularity of atrial activity (AA) that is the most straightforward symptom of atrial arrhythmias. In AFL episodes, the atrial activity tends to be more regular, whereas in AF it is almost completely unpredictable. Our objective is to enhance this activity to facilitate discrimination between the two arrhythmias. Spatio-temporal filtering (STF) was developed for detection of fetal QRS complexes in an ECG signal recorded from the abdomen of a pregnant woman. The filter can easily be applied to enhance the P waves in regular ECG signals. In this paper, however, we modify the learning phase of STF, to make it useful also for enhancement of abnormal atrial activity. The STF ability to enhance the atrial flutter waves is presented. An algorithm is proposed that allows for simple but effective discrimination between the two types of atrial irregular activity: AFL and AF. Tested on a database containing the cases of both atrial arrhythmias, the algorithm allows for their almost faultless recognition. © 2019 Association for Computing Machinery.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:32:40Z
dc.date.available.none.fl_str_mv 2020-03-26T16:32:40Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.hasversion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Conferencia
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv ACM International Conference Proceeding Series; pp. 67-72
dc.identifier.isbn.none.fl_str_mv 9781450372435
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/8962
dc.identifier.doi.none.fl_str_mv 10.1145/3365245.3365262
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 56520286300
55985160800
57202468264
7003612212
7004127726
57213685902
identifier_str_mv ACM International Conference Proceeding Series; pp. 67-72
9781450372435
10.1145/3365245.3365262
Universidad Tecnológica de Bolívar
Repositorio UTB
56520286300
55985160800
57202468264
7003612212
7004127726
57213685902
url https://hdl.handle.net/20.500.12585/8962
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 8 October 2019 through 10 October 2019
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
http://purl.org/coar/access_right/c_16ec
eu_rights_str_mv restrictedAccess
dc.format.medium.none.fl_str_mv Recurso electrónico
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Association for Computing Machinery
publisher.none.fl_str_mv Association for Computing Machinery
dc.source.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077965811&doi=10.1145%2f3365245.3365262&partnerID=40&md5=8b55a0295049daf735c2c27e31d67dda
Scopus2-s2.0-85077965811
institution Universidad Tecnológica de Bolívar
dc.source.event.none.fl_str_mv 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019
bitstream.url.fl_str_mv https://repositorio.utb.edu.co/bitstream/20.500.12585/8962/1/MiniProdInv.png
bitstream.checksum.fl_str_mv 0cb0f101a8d16897fb46fc914d3d7043
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Institucional UTB
repository.mail.fl_str_mv repositorioutb@utb.edu.co
_version_ 1814021670112854016
spelling 2020-03-26T16:32:40Z2020-03-26T16:32:40Z2019ACM International Conference Proceeding Series; pp. 67-729781450372435https://hdl.handle.net/20.500.12585/896210.1145/3365245.3365262Universidad Tecnológica de BolívarRepositorio UTB5652028630055985160800572024682647003612212700412772657213685902In this paper, we propose to apply spatio-temporal filtering to atrial activity enhancement, prior to the detection of possible atrial arrhythmias. During normal sinus rhythm, the atrial activity is well synchronized with the ventricular one. The distances between ventricular QRS complexes and the preceding atrial P waves are approximately constant. However, during atrial arrhythmias such a synchronization does not exist. Although both atrial fibrillation (AF) and atrial flutter (AFL) are also characterized by irregularity of RR intervals, nevertheless it is this lack of atrioventricular synchronization and the associated irregularity of atrial activity (AA) that is the most straightforward symptom of atrial arrhythmias. In AFL episodes, the atrial activity tends to be more regular, whereas in AF it is almost completely unpredictable. Our objective is to enhance this activity to facilitate discrimination between the two arrhythmias. Spatio-temporal filtering (STF) was developed for detection of fetal QRS complexes in an ECG signal recorded from the abdomen of a pregnant woman. The filter can easily be applied to enhance the P waves in regular ECG signals. In this paper, however, we modify the learning phase of STF, to make it useful also for enhancement of abnormal atrial activity. The STF ability to enhance the atrial flutter waves is presented. An algorithm is proposed that allows for simple but effective discrimination between the two types of atrial irregular activity: AFL and AF. Tested on a database containing the cases of both atrial arrhythmias, the algorithm allows for their almost faultless recognition. © 2019 Association for Computing Machinery.Ministry of Science and Higher Education of the Russian Federation: BK-RAu-3/2018 European Social Fund, ESF: POWR.03.02.00-00-I029 European Commission, EUInternational Academy of Computing Technology (IACT)This work was partially supported by the Ministry of Science and Higher Education Funding (BK-RAu-3/2018) and co-financed by the European Union through the European Social Fund (grant POWR.03.02.00-00-I029).Recurso electrónicoapplication/pdfengAssociation for Computing Machineryhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077965811&doi=10.1145%2f3365245.3365262&partnerID=40&md5=8b55a0295049daf735c2c27e31d67ddaScopus2-s2.0-850779658112nd International Conference on Sensors, Signal and Image Processing, SSIP 2019Application of spatio-temporal filtering for atrial activity waveforms enhancementinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAtrial activity enhancementAtrial fibrillationSpatial filteringSpatio temporal filteringDiseasesElectrocardiographyFlutter (aerodynamics)Image processingSeismic wavesSynchronizationAtrial activityAtrial arrhythmiaAtrial fibrillationAtrial flutterNormal sinus rhythmPregnant womanSpatial filteringsSpatio temporal filteringBiomedical signal processing8 October 2019 through 10 October 2019Giraldo-Guzmán J.Kotas, MarianPiela M.Castells F.Łęski J.M.Contreras Ortiz, Sonia HelenaBeata Franczyk-Skora, M.B.D.K., Gluba, A., Prevention of sudden cardiac death in patients with chronic kidney disease (2012) BMC NephrologyCastells, F., Rieta, J.J., Millet, J., Zarzoso, V., Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias (2005) IEEE Transactions on Biomedical Engineering, 52 (2), pp. 258-267Chugh, S.S., Blackshear, J.L., Shen, W.-K., Hammill, S.C., Gersh, B.J., Epidemiology and natural history of atrial fibrillation: Clinical implications (2001) Journal of the American College of Cardiology, 37 (2), pp. 371-378Gallagher, M.M., Camm, A.J., Classification of atrial fibrillation (1997) Pacing and Clinical Electrophysiology, 20 (6), pp. 1603-1605Kotas, M., Jezewski, J., Horoba, K., Matonia, A., Application of spatio-temporal filtering to fetal electrocardiogram enhancement (2011) Computer Methods and Programs in Biomedicine, 104 (1), pp. 1-9Leski, J., Kotas, M., Linguistically defined clustering of data (2018) Int. Journal of Applied Mathematics and Computer Science, 28 (3), pp. 545-557Marriott, H.J., Atrioventricular synchronization and accrochage (1956) Circulation, 14 (1), pp. 38-43(2006) Working Together for Health: The World Health Report 2006: Policy Briefs, , W. H. OrganizationPoli, S., Barbaro, V., Bartolini, P., Calcagnini, G., Censi, F., Prediction of atrial fibrillation from surface ECG: Review of methods and algorithms (2003) Annali Dell’Istituto Superiore Di Sanità, 39 (2), pp. 195-203Przybyla, T., Kotas, M., Leski, J., On clustering based nonlinear projective filtering of biomedical signals (2018) Biomedical Signal Processing and Control, 44 (7), pp. 237-246Rieta, J., Millet-Roig, J., Zarzoso, V., Castells, F., Sanchez, C., Garcia-Civera, R., Morell, S., Atrial fibrillation, atrial flutter and normal sinus rhythm discrimination by means of blind source separation and spectral parameters extraction (2002) Computers in Cardiology, pp. 25-28Wolf, P.A., Abbott, R.D., Kannel, W.B., Atrial fibrillation as an independent risk factor for stroke: The framingham study (1991) Stroke, 22 (8), pp. 983-988http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8962/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8962oai:repositorio.utb.edu.co:20.500.12585/89622023-05-25 15:52:54.545Repositorio Institucional UTBrepositorioutb@utb.edu.co