{"id":"https://openalex.org/W2109314020","doi":"https://doi.org/10.1109/isbi.2009.5193079","title":"Statistical modeling of the geometric error in cardiac electrical imaging","display_name":"Statistical modeling of the geometric error in cardiac electrical imaging","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2109314020","doi":"https://doi.org/10.1109/isbi.2009.5193079","mag":"2109314020"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2009.5193079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/48255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026240806","display_name":"\u00dcmit Ayd\u0131n","orcid":"https://orcid.org/0000-0002-6327-7811"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Umit Aydin","raw_affiliation_strings":["Middle East Technical University, Department of Electrical and Electronics Engineering, Ankara, Turkey","Middle East Technical University,Department of Electrical & Electronics Engineering,Ankara,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middle East Technical University, Department of Electrical and Electronics Engineering, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Middle East Technical University,Department of Electrical & Electronics Engineering,Ankara,Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yesim Serinagaoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yesim Serinagaoglu","raw_affiliation_strings":["Middle East Technical University, Department of Electrical and Electronics Engineering, Ankara, Turkey","Middle East Technical University,Department of Electrical & Electronics Engineering,Ankara,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middle East Technical University, Department of Electrical and Electronics Engineering, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Middle East Technical University,Department of Electrical & Electronics Engineering,Ankara,Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.4854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58746713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"442","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7989387512207031},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6842584609985352},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.5821099281311035},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5566347241401672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420970916748047},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5160000324249268},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5144179463386536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46907466650009155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4488247036933899},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4269930124282837},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.40061241388320923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3847459852695465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32643646001815796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15435320138931274},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07934525609016418}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7989387512207031},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6842584609985352},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.5821099281311035},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5566347241401672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420970916748047},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5160000324249268},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5144179463386536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46907466650009155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4488247036933899},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4269930124282837},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40061241388320923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3847459852695465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32643646001815796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15435320138931274},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07934525609016418},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2009.5193079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2009.5193079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/48255","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/48255","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/48255","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/48255","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310050","display_name":"University of Utah","ror":"https://ror.org/03r0ha626"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1510249949","https://openalex.org/W1936866517","https://openalex.org/W1968546921","https://openalex.org/W1968735445","https://openalex.org/W1984495143","https://openalex.org/W2030737041","https://openalex.org/W2037901648","https://openalex.org/W2068055953","https://openalex.org/W2122512809","https://openalex.org/W2134044591","https://openalex.org/W2138090264","https://openalex.org/W2145835497","https://openalex.org/W2156570623","https://openalex.org/W2157172687"],"related_works":["https://openalex.org/W2337734184","https://openalex.org/W2388364587","https://openalex.org/W2050033254","https://openalex.org/W2322955667","https://openalex.org/W2373176546","https://openalex.org/W2561531189","https://openalex.org/W2152224705","https://openalex.org/W2385735574","https://openalex.org/W2057439054","https://openalex.org/W2374214022"],"abstract_inverted_index":{"Kalman":[0,24,54,102],"filter":[1,25],"approach":[2,26],"provides":[3],"a":[4,83,109],"natural":[5],"way":[6],"to":[7,53,86,114,142,152,177],"include":[8],"the":[9,21,42,46,59,75,81,88,91,95,138,153,158,161,168,178],"spatio-temporal":[10],"prior":[11],"information":[12],"in":[13,31,94,118,157,171],"cardiac":[14],"electrical":[15],"imaging.":[16],"This":[17],"study":[18,170],"focuses":[19],"on":[20,80],"performance":[22],"of":[23,45,61,77,90,163,181],"with":[27],"geometric":[28,37,69,78,92,144],"errors":[29,38,70,79,93,117,145],"present":[30],"inverse":[32,96,119,132,179],"Electrocardiography":[33],"(ECG)":[34],"problem.":[35],"The":[36],"considered":[39],"here":[40],"are":[41,71],"wrong":[43],"determination":[44],"heart's":[47],"size":[48],"and":[49,64,101,128,149],"location.":[50],"In":[51],"addition":[52],"filtering,":[55],"we":[56],"also":[57],"compare":[58],"performances":[60],"Tikhonov":[62],"regularization":[63],"Bayesian":[65],"MAP":[66],"estimation":[67],"when":[68],"present.":[72],"After":[73],"presenting":[74],"effects":[76,89],"solutions,":[82],"possible":[84],"model":[85],"reduce":[87],"ECG":[97,133],"problem":[98,120,134,180],"for":[99,131],"Bayes-MAP":[100],"solution":[103],"is":[104,112,126,135,141,167],"studied.":[105],"To":[106,160],"this":[107,166],"purpose,":[108],"method":[110],"that":[111],"suggested":[113],"overcome":[115],"modeling":[116],"solutions":[121],"by":[122],"Heino":[123],"et.":[124],"al.":[125],"modified":[127],"its":[129],"effectiveness":[130],"shown.":[136],"Here":[137],"main":[139],"idea":[140],"assume":[143],"as":[146],"additive":[147],"noise":[148],"adding":[150],"them":[151],"covariance":[154],"matrices":[155],"used":[156],"algorithms.":[159],"best":[162],"our":[164],"knowledge,":[165],"first":[169],"which":[172],"it":[173],"has":[174],"been":[175],"applied":[176],"ECG.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}