{"id":"https://openalex.org/W3213721800","doi":"https://doi.org/10.1145/3485730.3492883","title":"Diagnosing Cardiovascular Diseases with Machine Learning on Body Surface Potential Mapping Data","display_name":"Diagnosing Cardiovascular Diseases with Machine Learning on Body Surface Potential Mapping Data","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3213721800","doi":"https://doi.org/10.1145/3485730.3492883","mag":"3213721800"},"language":"en","primary_location":{"id":"doi:10.1145/3485730.3492883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3492883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","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/A5081663535","display_name":"Dariusz W\u00f3jcik","orcid":"https://orcid.org/0000-0002-4200-3432"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dariusz W\u00f3jcik","raw_affiliation_strings":["Research and Development Center, Netrix S.A, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"Research and Development Center, Netrix S.A, Lublin, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066003040","display_name":"Tomasz Rymarczyk","orcid":"https://orcid.org/0000-0002-3524-9151"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Rymarczyk","raw_affiliation_strings":["University of Economics and Innovation in Lublin, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"University of Economics and Innovation in Lublin, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108834959","display_name":"Micha\u0142 Oleszek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Micha\u0142 Oleszek","raw_affiliation_strings":["Research and Development Center, Netrix S.A, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"Research and Development Center, Netrix S.A, Lublin, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084781852","display_name":"\u0141ukasz Maciura","orcid":"https://orcid.org/0000-0001-8657-3472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0141ukasz Maciura","raw_affiliation_strings":["Research and Development Center, Netrix S.A, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"Research and Development Center, Netrix S.A, Lublin, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019997749","display_name":"Piotr Bednarczuk","orcid":"https://orcid.org/0000-0003-1933-7183"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Bednarczuk","raw_affiliation_strings":["University of Economics and Innovation in Lublin, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"University of Economics and Innovation in Lublin, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081663535"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9377,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77164052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9987999796867371,"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":0.9987999796867371,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9732000231742859,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144253253936768},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.6989514827728271},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6885974407196045},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6157042980194092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5052981972694397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4715343117713928},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44196394085884094},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4279833436012268},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.4264981746673584},{"id":"https://openalex.org/keywords/body-surface","display_name":"Body surface","score":0.4115385413169861},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11301499605178833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144253253936768},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.6989514827728271},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6885974407196045},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6157042980194092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052981972694397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4715343117713928},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44196394085884094},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4279833436012268},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.4264981746673584},{"id":"https://openalex.org/C3020541326","wikidata":"https://www.wikidata.org/wiki/Q1796666","display_name":"Body surface","level":2,"score":0.4115385413169861},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11301499605178833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485730.3492883","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3492883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W44228436","https://openalex.org/W2115740435","https://openalex.org/W2142993747"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W4311257506","https://openalex.org/W2337926734","https://openalex.org/W4319994054","https://openalex.org/W4366224123","https://openalex.org/W2963958939","https://openalex.org/W4320802194","https://openalex.org/W3173182854"],"abstract_inverted_index":{"This":[0],"research":[1],"aimed":[2],"to":[3,56,86],"develop":[4],"a":[5],"high":[6],"accuracy":[7,67],"machine":[8],"learning":[9],"algorithm":[10,34,77],"that":[11,80],"can":[12,81],"diagnose":[13],"cardiovascular":[14],"diseases":[15],"from":[16,21,50,91],"the":[17,38,45,51,57,71,83,88,92,97,106],"stream":[18],"of":[19,68],"data":[20,48,89],"multiple":[22],"body":[23],"surface":[24],"potential":[25],"mapping":[26],"devices":[27],"equipped":[28],"with":[29],"102":[30],"textile":[31],"electrodes.":[32],"The":[33,61],"is":[35],"based":[36],"on":[37,44,70],"1D":[39],"convolutional":[40],"neural":[41,63,84],"network,":[42],"trained":[43],"comparable":[46],"real-life":[47],"gathered":[49],"FLUKE":[52],"ECG":[53],"simulator":[54],"connected":[55],"resistance-based":[58],"human":[59],"phantom.":[60],"developed":[62,79],"network":[64,85],"achieved":[65],"an":[66,75],"99.91%":[69],"test":[72],"data.":[73],"Additionally,":[74],"additional":[76],"was":[78],"use":[82],"analyse":[87],"streamed":[90],"medical":[93,98],"device":[94],"and":[95],"notice":[96],"staff":[99],"about":[100],"dangerous":[101],"heart":[102],"rhythms":[103],"detected":[104],"by":[105],"system.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
