{"id":"https://openalex.org/W2908137531","doi":"https://doi.org/10.1109/icsai.2018.8599293","title":"An ADMM-net Solution to Inverse Problem of Electrocardiology","display_name":"An ADMM-net Solution to Inverse Problem of Electrocardiology","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908137531","doi":"https://doi.org/10.1109/icsai.2018.8599293","mag":"2908137531"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2018.8599293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613491","display_name":"Liansheng Wang","orcid":"https://orcid.org/0000-0002-2096-454X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liansheng Wang","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078678201","display_name":"WU Wei-qi","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Wu","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["Department of Computer Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101406056","display_name":"Changhua Liu","orcid":"https://orcid.org/0000-0001-5669-5364"},"institutions":[{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhua Liu","raw_affiliation_strings":["Department of Medical Imaging, The Chenggong Hospital Affiliated to Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, The Chenggong Hospital Affiliated to Xiamen University, China","institution_ids":["https://openalex.org/I4210124907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49358013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"64","issue":null,"first_page":"565","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9847000241279602,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9836999773979187,"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/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.8940044641494751},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7082563042640686},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6545029878616333},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.611915647983551},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5240150690078735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5157273411750793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49406006932258606},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48226267099380493},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.46169599890708923},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4336104393005371},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.43069911003112793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3854833245277405},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3488435745239258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19118133187294006},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07830801606178284}],"concepts":[{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.8940044641494751},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7082563042640686},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6545029878616333},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.611915647983551},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5240150690078735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5157273411750793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49406006932258606},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48226267099380493},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.46169599890708923},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4336104393005371},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.43069911003112793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3854833245277405},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3488435745239258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19118133187294006},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07830801606178284},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2018.8599293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1571203665","https://openalex.org/W1585387654","https://openalex.org/W1997120677","https://openalex.org/W2045920668","https://openalex.org/W2073669454","https://openalex.org/W2085242928","https://openalex.org/W2099001075","https://openalex.org/W2111598655","https://openalex.org/W2119389424","https://openalex.org/W2127883485","https://openalex.org/W2135442170","https://openalex.org/W2963674498","https://openalex.org/W6634116992","https://openalex.org/W6676713894","https://openalex.org/W6677478140"],"related_works":["https://openalex.org/W2373436489","https://openalex.org/W2749105521","https://openalex.org/W140737605","https://openalex.org/W2360343897","https://openalex.org/W2564453433","https://openalex.org/W3188213007","https://openalex.org/W2374214022","https://openalex.org/W1947575127","https://openalex.org/W2029137001","https://openalex.org/W376746440"],"abstract_inverted_index":{"In":[0,25],"this":[1],"paper,":[2],"we":[3,40,85,117],"proposed":[4,149],"a":[5,87,119,152],"new":[6],"ADMM-net":[7],"method":[8,150,165],"to":[9,27,50,100,127],"solve":[10,28,51],"the":[11,18,29,35,52,58,72,76,79,82,92,124,129,133,148,162],"inverse":[12,53],"problem":[13,32,54],"of":[14,20,46,55,75,81,143],"electrocardiograph(ECG)":[15],"and":[16,23,33,104,113,136],"choose":[17],"parameter":[19],"regularization":[21,98,164],"automatically":[22,102],"efficiently.":[24],"order":[26],"inner":[30],"ill-posed":[31],"make":[34],"result":[36,142],"more":[37,105],"precise,":[38],"firstly,":[39],"built":[41,86],"an":[42],"Alternating":[43],"Direction":[44],"Method":[45],"Multipliers(ADMM)":[47],"algorithm":[48,77,94],"model":[49,95,122],"ECG,":[56],"unlike":[57],"classical":[59],"methods":[60],"such":[61,166],"as":[62,167],"Tikhonov,":[63,168],"truncated":[64,68],"total":[65],"least":[66],"squares(TTLS),":[67],"singular":[69],"value":[70],"decomposition(TSVD),":[71],"iterative":[73],"property":[74],"ensures":[78],"convergence":[80],"results,":[83],"then":[84],"neural":[88],"network":[89],"based":[90],"on":[91,123,132],"ADMM":[93],"which":[96],"allows":[97],"parameters":[99],"be":[101],"selected":[103],"accurate":[106],"results.":[107],"To":[108],"get":[109],"enough":[110],"cardiac":[111,134],"surface":[112,114,135,138,158],"potential":[115],"data,":[116],"use":[118],"real":[120],"human":[121],"ECGsim":[125],"software":[126],"obtain":[128],"simulated":[130],"potentials":[131,159],"body":[137],"for":[139],"training.":[140],"The":[141],"our":[144],"experiment":[145],"shows":[146],"that":[147],"has":[151],"better":[153],"performance":[154],"in":[155],"reconstructing":[156],"epicardial":[157],"distribution":[160],"than":[161],"common":[163],"TTLS,":[169],"TSVD":[170],"method.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
