{"id":"https://openalex.org/W3213790805","doi":"https://doi.org/10.1109/rtsi50628.2021.9597363","title":"Sex Differences in the ECG Interpretation: a Functional Data Analysis Perspective","display_name":"Sex Differences in the ECG Interpretation: a Functional Data Analysis Perspective","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3213790805","doi":"https://doi.org/10.1109/rtsi50628.2021.9597363","mag":"3213790805"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi50628.2021.9597363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi50628.2021.9597363","pdf_url":null,"source":{"id":"https://openalex.org/S4306498810","display_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11311/1204652","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014622381","display_name":"Vera Maioli","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vera Maioli","raw_affiliation_strings":["Politecnico di Milano,Milan,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083132027","display_name":"Letizia Clementi","orcid":"https://orcid.org/0000-0002-4186-1988"},"institutions":[{"id":"https://openalex.org/I4210115812","display_name":"Human Technopole","ror":"https://ror.org/029gmnc79","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115812"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Letizia Clementi","raw_affiliation_strings":["Human Technopole, CADS, Center for Analysis Decisions and Society, Milan, Italy","Politecnico di Milano, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Technopole, CADS, Center for Analysis Decisions and Society, Milan, Italy","institution_ids":["https://openalex.org/I4210115812"]},{"raw_affiliation_string":"Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010543929","display_name":"Marco D. Santambrogio","orcid":"https://orcid.org/0000-0002-9883-9693"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco D. Santambrogio","raw_affiliation_strings":["Politecnico di Milano,Milan,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4633,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60639361,"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":"558","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9905999898910522,"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":0.9905999898910522,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364991664886475},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6291359663009644},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5500428676605225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5143452882766724},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5060173869132996},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.4909558594226837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4612205922603607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4386309087276459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4300433397293091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364991664886475},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6291359663009644},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5500428676605225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5143452882766724},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5060173869132996},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.4909558594226837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4612205922603607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4386309087276459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4300433397293091},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtsi50628.2021.9597363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi50628.2021.9597363","pdf_url":null,"source":{"id":"https://openalex.org/S4306498810","display_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1204652","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1204652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1204652","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1204652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1763496468","https://openalex.org/W1974418863","https://openalex.org/W2030463924","https://openalex.org/W2072270960","https://openalex.org/W2079467919","https://openalex.org/W2101234009","https://openalex.org/W2126629635","https://openalex.org/W2147192785","https://openalex.org/W2152702278","https://openalex.org/W2162800060","https://openalex.org/W2346672933","https://openalex.org/W2561754936","https://openalex.org/W2592398938","https://openalex.org/W2911490596","https://openalex.org/W3003257820","https://openalex.org/W3088302095","https://openalex.org/W6675354045","https://openalex.org/W6783948564"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W2391139946"],"abstract_inverted_index":{"Prompt":[0],"diagnosis":[1],"and":[2,32,34,44,59,82,143,161,194,268,292],"correct":[3,99],"therapy":[4],"are":[5,247],"essential":[6,51],"for":[7,106,138,281],"the":[8,24,38,54,57,77,89,107,110,115,118,139,147,158,173,186,197,202,209,223,226,230,260,265,282],"treatment":[9],"of":[10,16,27,40,56,76,88,109,117,141,149,175,185,196,211,222,225,284],"cardiovascular":[11],"diseases.":[12],"A":[13],"proper":[14],"evaluation":[15],"electrocardiography":[17],"(ECG)":[18],"tracings":[19,286],"could":[20],"help":[21],"to":[22,52,60,63,91,96,122,156,169,228,287],"analyze":[23],"different":[25],"effects":[26],"drug":[28],"therapies":[29],"in":[30,172,208,250,256,264,270,290],"men":[31],"women":[33],"therefore":[35],"would":[36],"allow":[37],"prescription":[39],"more":[41,248],"specific":[42],"drugs":[43],"dosages.":[45],"For":[46],"this":[47,251],"purpose,":[48],"it":[49,65],"is":[50,162,218,262,277],"know":[53,61],"morphology":[55,116],"ECG":[58,84,119,231,285],"how":[62],"read":[64],"correctly.":[66],"In":[67],"recent":[68],"years":[69],"there":[70],"has":[71],"been":[72],"an":[73],"increasing":[74],"awareness":[75],"differences":[78,244],"between":[79,245],"a":[80,98,104,133,165,183,189,205,219,278],"male":[81],"female":[83],"trace":[85,120],"and,":[86],"therefore,":[87],"need":[90],"take":[92],"them":[93],"into":[94],"account":[95],"obtain":[97],"diagnosis.":[100],"This":[101,126],"work":[102],"proposes":[103],"method":[105,151,234],"recognition":[108],"subject's":[111],"sex":[112,124,224],"starting":[113],"from":[114],"alone":[121],"highlight":[123],"differences.":[125],"technique":[127,274],"employs":[128],"Functional":[129],"Data":[130],"Analysis":[131],"(FDA),":[132],"statistical":[134],"approach":[135],"specifically":[136],"developed":[137],"analysis":[140,167,207],"curves":[142],"surfaces.":[144],"We":[145,199],"proved":[146],"adequacy":[148],"our":[150],"by":[152],"evaluating":[153],"its":[154],"ability":[155],"classify":[157,201],"traces":[159],"correctly":[160],"proposed":[163,276],"as":[164,253],"smart":[166],"tool":[168,280],"be":[170,288],"employed":[171,289],"development":[174],"ad":[176],"hoc":[177],"cardiac":[178],"drugs.":[179],"The":[180,216,233,273],"procedure":[181],"foresees":[182],"preprocessing":[184],"signal":[187],"through":[188,204],"Butterworth":[190],"filtering,":[191],"wavelet-based":[192],"smoothing,":[193],"alignment":[195],"traces.":[198],"then":[200],"signals":[203],"cluster":[206],"form":[210],"multivariate":[212],"functional":[213],"k-mean":[214],"procedures.":[215],"result":[217],"semi-automatic":[220],"assignment":[221],"subject":[227],"which":[229],"belongs.":[232],"reaches":[235],"better":[236],"performances":[237],"when":[238],"considering":[239],"younger":[240,266],"subjects":[241],"because":[242],"morphological":[243],"sexes":[246],"evident":[249],"subpopulation,":[252],"previously":[254],"highlighted":[255],"literature.":[257],"More":[258],"specifically,":[259],"accuracy":[261],"77.8%":[263],"population":[267],"71.4%":[269],"elderly":[271],"subjects.":[272],"hereby":[275],"valuable":[279],"exploration":[283],"clinical":[291],"pharmacological":[293],"research.":[294]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-11-22T00:00:00"}