{"id":"https://openalex.org/W4392007306","doi":"https://doi.org/10.1109/tbme.2024.3368105","title":"Deep Learning for Sparse Domain Kalman Filtering With Applications on ECG Denoising and Motility Estimation","display_name":"Deep Learning for Sparse Domain Kalman Filtering With Applications on ECG Denoising and Motility Estimation","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4392007306","doi":"https://doi.org/10.1109/tbme.2024.3368105","pmid":"https://pubmed.ncbi.nlm.nih.gov/38381631"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2024.3368105","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3368105","pdf_url":"https://ieeexplore.ieee.org/ielx7/10/4359967/10443058.pdf","source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/10/4359967/10443058.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014167427","display_name":"Ivar R. de Vries","orcid":"https://orcid.org/0000-0002-0579-4220"},"institutions":[{"id":"https://openalex.org/I4210152360","display_name":"Eindhoven Cancer Registry","ror":"https://ror.org/048rwjb21","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210152360"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"I.R. de Vries","raw_affiliation_strings":["Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, Eindhoven, Noord-Brabant, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0579-4220","affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, Eindhoven, Noord-Brabant, The Netherlands","institution_ids":["https://openalex.org/I4210152360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081765281","display_name":"Arthur M. de Jong","orcid":"https://orcid.org/0000-0001-6019-7333"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"A.M. de Jong","raw_affiliation_strings":["Department of Applied Physics and Science Education, Eindhoven University of Technology, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-6019-7333","affiliations":[{"raw_affiliation_string":"Department of Applied Physics and Science Education, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023019972","display_name":"M. Beatrijs van der Hout\u2010van der Jagt","orcid":"https://orcid.org/0000-0002-5805-5333"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M.B. van der Hout-van der Jagt","raw_affiliation_strings":["Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5805-5333","affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034821116","display_name":"Judith O. E. H. van Laar","orcid":"https://orcid.org/0000-0001-5350-3267"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.O.E.H. van Laar","raw_affiliation_strings":["Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5350-3267","affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology of the M&#x00E1;xima Medical Centre, The Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002080975","display_name":"Rik Vullings","orcid":"https://orcid.org/0000-0002-2392-6098"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R. Vullings","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-2392-6098","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2602,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92871117,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":"8","first_page":"2321","last_page":"2329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7300000190734863,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7300000190734863,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.03500000014901161,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.018300000578165054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8053051233291626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6772958040237427},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6658270359039307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944691896438599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5307415127754211},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.49589642882347107},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4468940198421478},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4466375410556793},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4239652156829834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4125015139579773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40273457765579224},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37029656767845154},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19570723176002502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19530221819877625}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8053051233291626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6772958040237427},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6658270359039307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944691896438599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5307415127754211},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.49589642882347107},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4468940198421478},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4466375410556793},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4239652156829834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4125015139579773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40273457765579224},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37029656767845154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19570723176002502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19530221819877625},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tbme.2024.3368105","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3368105","pdf_url":"https://ieeexplore.ieee.org/ielx7/10/4359967/10443058.pdf","source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:38381631","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38381631","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:pure.tue.nl:openaire/41cf9fd7-07e9-4896-800c-b4774e56766e","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/41cf9fd7-07e9-4896-800c-b4774e56766e","pdf_url":"https://pure.tue.nl/ws/files/336265471/Deep_Learning_for_Sparse_Domain_Kalman_Filtering_With_Applications_on_ECG_Denoising_and_Motility_Estimation.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Vries, I R, De Jong, A M, Van Der Hout-Van Der Jagt, M B, Van Laar, J O E H & Vullings, R 2024, 'Deep Learning for Sparse Domain Kalman Filtering with Applications on ECG Denoising and Motility Estimation', IEEE Transactions on Biomedical Engineering, vol. 71, no. 8, pp. 2321-2329. https://doi.org/10.1109/TBME.2024.3368105","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.tue.nl:publications/41cf9fd7-07e9-4896-800c-b4774e56766e","is_oa":false,"landing_page_url":"https://research.tue.nl/files/336265471/Deep_Learning_for_Sparse_Domain_Kalman_Filtering_With_Applications_on_ECG_Denoising_and_Motility_Estimation.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Vries, I R, De Jong, A M, Van Der Hout-Van Der Jagt, M B, Van Laar, J O E H & Vullings, R 2024, 'Deep Learning for Sparse Domain Kalman Filtering with Applications on ECG Denoising and Motility Estimation', IEEE Transactions on Biomedical Engineering, vol. 71, no. 8, pp. 2321-2329. https://doi.org/10.1109/TBME.2024.3368105","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tbme.2024.3368105","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3368105","pdf_url":"https://ieeexplore.ieee.org/ielx7/10/4359967/10443058.pdf","source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7599999904632568,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G185568396","display_name":null,"funder_award_id":"10070022010001","funder_id":"https://openalex.org/F4320321007","funder_display_name":"ZonMw"}],"funders":[{"id":"https://openalex.org/F4320321007","display_name":"ZonMw","ror":"https://ror.org/01yaj9a77"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392007306.pdf","grobid_xml":"https://content.openalex.org/works/W4392007306.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1976338337","https://openalex.org/W1982078151","https://openalex.org/W1987191478","https://openalex.org/W2014299666","https://openalex.org/W2027634543","https://openalex.org/W2061185532","https://openalex.org/W2100556411","https://openalex.org/W2103989293","https://openalex.org/W2104750904","https://openalex.org/W2105934661","https://openalex.org/W2112006048","https://openalex.org/W2115706991","https://openalex.org/W2121830132","https://openalex.org/W2121990799","https://openalex.org/W2130187411","https://openalex.org/W2162800060","https://openalex.org/W2166046159","https://openalex.org/W2166704538","https://openalex.org/W2170458692","https://openalex.org/W2258523306","https://openalex.org/W2581043239","https://openalex.org/W2810098320","https://openalex.org/W2811364119","https://openalex.org/W2899001340","https://openalex.org/W2967875587","https://openalex.org/W2972675027","https://openalex.org/W3000439249","https://openalex.org/W3006822225","https://openalex.org/W3179508651","https://openalex.org/W3183282730","https://openalex.org/W3216097883","https://openalex.org/W4296020027","https://openalex.org/W4304959452","https://openalex.org/W4377290325","https://openalex.org/W6732602340","https://openalex.org/W6739675538"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W4372347353","https://openalex.org/W2020144404","https://openalex.org/W2149615975","https://openalex.org/W4375867731","https://openalex.org/W2103062922","https://openalex.org/W2162299404"],"abstract_inverted_index":{"OBJECTIVE:":[0],"The":[1,63,152,195],"reconstruction":[2],"of":[3,11,29,104,114,130,143,175,181,206],"an":[4,125,185],"input":[5],"based":[6],"on":[7,42,100],"a":[8,56,70,84,88,141,200],"sparse":[9,15,30,61,85,161,208],"combination":[10,28],"signals,":[12],"known":[13,89],"as":[14,69],"coding,":[16],"has":[17,83],"found":[18],"widespread":[19],"use":[20,102],"in":[21,59,107,127],"signal":[22,81],"processing.":[23],"In":[24,138],"this":[25],"work,":[26],"the":[27,49,60,101,108,112,121,169,176,179,204],"coding":[31,162,209],"with":[32,55,145],"Kalman":[33,57,164,211],"filtering":[34,165],"is":[35,40,98,134,199],"explored":[36],"and":[37,52,75,87,111,163,172,210],"its":[38],"potential":[39],"shown":[41,156],"two":[43],"use-cases.":[44],"METHODS:":[45],"This":[46,96],"work":[47],"extends":[48],"Iterative":[50],"Shrinkage":[51],"Thresholding":[53],"Algorithm":[54],"filter":[58],"domain.":[62],"resulting":[64],"method":[65,97,123,154,202],"may":[66,76],"be":[67,77,191],"implemented":[68],"deep":[71],"unfolded":[72],"neural":[73],"network":[74],"applied":[78],"to":[79,136,157,168,187],"any":[80],"which":[82,133],"representation":[86],"or":[90,184],"assumed":[91],"relation":[92],"between":[93],"consecutive":[94],"measurements.":[95],"evaluated":[99],"cases":[103],"noise":[105],"reduction":[106],"electrocardiogram":[109],"(ECG)":[110],"estimation":[113],"object":[115],"motility.":[116],"RESULTS:":[117],"For":[118],"ECG":[119],"denoising,":[120],"proposed":[122,153,177],"achieved":[124],"improvement":[126],"Signal-to-Noise":[128],"ratio":[129],"18.6":[131],"dB,":[132],"comparable":[135],"state-of-the-art.":[137],"motility":[139],"estimation,":[140],"correlation":[142],"0.84":[144],"ground":[146],"truth":[147],"simulations":[148],"was":[149,155],"found.":[150],"CONCLUSION:":[151],"have":[158],"advantages":[159],"over":[160],"alone.":[166],"Due":[167],"low":[170],"complexity":[171],"high":[173],"generalizability":[174],"method,":[178],"implementation":[180],"context-specific":[182],"knowledge":[183],"extension":[186],"other":[188],"applications":[189],"can":[190],"readily":[192],"made.":[193],"SIGNIFICANCE:":[194],"presented":[196],"Kalman-ISTA":[197],"algorithm":[198],"resource-efficient":[201],"combining":[203],"promise":[205],"both":[207],"filtering,":[212],"making":[213],"it":[214],"well-suited":[215],"for":[216],"various":[217],"applications.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2024-02-22T00:00:00"}
