{"id":"https://openalex.org/W4226161738","doi":"https://doi.org/10.1007/978-3-030-97777-1_27","title":"Applying Deep Learning Techniques to Extract Diagnostic Information from ECG Images","display_name":"Applying Deep Learning Techniques to Extract Diagnostic Information from ECG Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226161738","doi":"https://doi.org/10.1007/978-3-030-97777-1_27"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-97777-1_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-97777-1_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5058653959","display_name":"Georgy M. Kostin","orcid":"https://orcid.org/0000-0001-6308-1467"},"institutions":[{"id":"https://openalex.org/I212220629","display_name":"Peter the Great St. Petersburg Polytechnic University","ror":"https://ror.org/02x91aj62","country_code":"RU","type":"education","lineage":["https://openalex.org/I212220629"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Georgy M. Kostin","raw_affiliation_strings":["Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0001-6308-1467","affiliations":[{"raw_affiliation_string":"Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia","institution_ids":["https://openalex.org/I212220629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006396643","display_name":"Vitalii A. Pavlov","orcid":"https://orcid.org/0000-0003-0726-6613"},"institutions":[{"id":"https://openalex.org/I212220629","display_name":"Peter the Great St. Petersburg Polytechnic University","ror":"https://ror.org/02x91aj62","country_code":"RU","type":"education","lineage":["https://openalex.org/I212220629"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vitalii A. Pavlov","raw_affiliation_strings":["Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0003-0726-6613","affiliations":[{"raw_affiliation_string":"Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia","institution_ids":["https://openalex.org/I212220629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029115201","display_name":"Sergey V. Zavjalov","orcid":"https://orcid.org/0000-0003-3398-3616"},"institutions":[{"id":"https://openalex.org/I212220629","display_name":"Peter the Great St. Petersburg Polytechnic University","ror":"https://ror.org/02x91aj62","country_code":"RU","type":"education","lineage":["https://openalex.org/I212220629"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey V. Zavjalov","raw_affiliation_strings":["Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0003-3398-3616","affiliations":[{"raw_affiliation_string":"Institute of Physics, Nanotechnology and Telecommunications, Peter the Great St. Petersburg, Polytechnic University, 195251, St. Petersburg, Russia","institution_ids":["https://openalex.org/I212220629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058633780","display_name":"\u0422. \u041c. \u041f\u0435\u0440\u0432\u0443\u043d\u0438\u043d\u0430","orcid":"https://orcid.org/0000-0001-9948-7303"},"institutions":[{"id":"https://openalex.org/I3018698992","display_name":"Federal Almazov North-West Medical Research Centre","ror":"https://ror.org/03qepc107","country_code":"RU","type":"facility","lineage":["https://openalex.org/I3018698992"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Tatiana M. Pervunina","raw_affiliation_strings":["Almazov National Medical Research Centre, 197341, St. Petersburg, Russia"],"raw_orcid":"https://orcid.org/0000-0001-9948-7303","affiliations":[{"raw_affiliation_string":"Almazov National Medical Research Centre, 197341, St. Petersburg, Russia","institution_ids":["https://openalex.org/I3018698992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058633780","https://openalex.org/A5058653959"],"corresponding_institution_ids":["https://openalex.org/I212220629","https://openalex.org/I3018698992"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.0462,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84667318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9462000131607056,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9387000203132629,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.8666974306106567},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.686017632484436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777475476264954},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.6210326552391052},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6007338166236877},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5967991948127747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5128212571144104},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4949271082878113},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4766833782196045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45422959327697754},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4446483850479126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4270627498626709},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41786593198776245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38018912076950073},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.16098904609680176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8666974306106567},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.686017632484436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777475476264954},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.6210326552391052},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6007338166236877},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5967991948127747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5128212571144104},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4949271082878113},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4766833782196045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45422959327697754},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4446483850479126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4270627498626709},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41786593198776245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38018912076950073},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.16098904609680176},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-97777-1_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-97777-1_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1568616147","https://openalex.org/W1901129140","https://openalex.org/W2589049692","https://openalex.org/W2896790556","https://openalex.org/W3166195577","https://openalex.org/W3170499939"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W2046969815","https://openalex.org/W4254054209","https://openalex.org/W4200334192","https://openalex.org/W2086489015","https://openalex.org/W2952835238","https://openalex.org/W3000197790"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
