{"id":"https://openalex.org/W4394569877","doi":"https://doi.org/10.1201/9781003405436-13","title":"ECG-Based Diagnosis of Sudden Cardiac Death Using Machine Learning","display_name":"ECG-Based Diagnosis of Sudden Cardiac Death Using Machine Learning","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4394569877","doi":"https://doi.org/10.1201/9781003405436-13"},"language":"en","primary_location":{"id":"doi:10.1201/9781003405436-13","doi":"https://doi.org/10.1201/9781003405436-13","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003405436-13","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Multimedia Information Processing","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4394569744","display_name":"Artificial Intelligence for Multimedia Information Processing"},"type":"book-chapter","is_traditional":true,"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/A5095040002","display_name":"Lohith Ashwa","orcid":"https://orcid.org/0009-0009-0450-8534","observed_orcids":["https://orcid.org/0009-0009-0450-8534"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lohith Ashwa","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-0450-8534","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027132241","display_name":"Sivakannan Subramani","orcid":"https://orcid.org/0000-0003-1259-5665","observed_orcids":["https://orcid.org/0000-0003-1259-5665"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sivakannan Subramani","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1259-5665","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082427242","display_name":"Xavier Savarimuthu","orcid":"https://orcid.org/0000-0002-6563-8502","observed_orcids":["https://orcid.org/0000-0002-6563-8502"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S.J. Xavier Savarimuthu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6563-8502","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9653000235557556,"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":0.9653000235557556,"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":0.03020000085234642,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sudden-cardiac-death","display_name":"sudden cardiac death","score":1.0},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"electrocardiogram","score":0.9200000166893005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.6539999842643738},{"id":"https://openalex.org/keywords/heart-rhythm-monitoring","display_name":"cardiac rhythm monitoring","score":0.4490000009536743},{"id":"https://openalex.org/keywords/arrhythmia-detection","display_name":"arrhythmia detection","score":0.5419999957084656}],"concepts":[{"id":"https://openalex.org/C2775935837","wikidata":"https://www.wikidata.org/wiki/Q202837","display_name":"Sudden cardiac death","level":2,"score":0.4582591950893402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.409826397895813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40268272161483765},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.370426207780838},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.35164713859558105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003405436-13","doi":"https://doi.org/10.1201/9781003405436-13","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003405436-13","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Multimedia Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4399366247","https://openalex.org/W3095309748","https://openalex.org/W7129210925","https://openalex.org/W4289260051","https://openalex.org/W4405222716","https://openalex.org/W7134055704","https://openalex.org/W4232701073","https://openalex.org/W3135182000","https://openalex.org/W7061008475","https://openalex.org/W3048632147"],"abstract_inverted_index":{"Sudden":[0],"cardiac":[1],"death":[2,20],"(SCD)":[3],"is":[4,13,43,60],"the":[5,16,22,47],"unexpected":[6],"loss":[7],"of":[8,15,19,49],"heart":[9],"function":[10],"and":[11,64],"it":[12,33,59],"one":[14],"fundamental":[17],"drivers":[18],"around":[21],"world,":[23],"accounting":[24],"for":[25],"approximately":[26],"4.5":[27],"million":[28],"deaths":[29],"per":[30],"year.":[31],"Since":[32],"occurs":[34],"relatively":[35],"often":[36],"in":[37],"younger":[38],"people,":[39],"its":[40],"socioeconomic":[41],"impact":[42,48],"much":[44],"higher":[45],"than":[46],"other":[50],"major":[51],"health":[52],"issues,":[53],"such":[54],"as":[55],"cerebrovascular":[56],"disease.":[57],"So,":[58],"important":[61],"to":[62,72],"monitor":[63],"predict":[65,73],"SCD.":[66],"This":[67],"chapter":[68],"discusses":[69],"a":[70],"system":[71],"SCD":[74],"from":[75],"electrocardiogram":[76],"signals":[77],"using":[78],"machine":[79],"learning":[80],"approaches.":[81]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2024-04-09T00:00:00"}
