{"id":"https://openalex.org/W3041982716","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138291","title":"VITAL-ECG: a de-bias algorithm embedded in a gender-immune device","display_name":"VITAL-ECG: a de-bias algorithm embedded in a gender-immune device","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3041982716","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138291","mag":"3041982716"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot48571.2020.9138291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 &amp; IoT","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/A5091299215","display_name":"Annunziata Paviglianiti","orcid":"https://orcid.org/0000-0003-3837-6479"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Annunziata Paviglianiti","raw_affiliation_strings":["DET - Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"DET - Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023499084","display_name":"Eros Pasero","orcid":"https://orcid.org/0000-0002-2403-1683"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eros Pasero","raw_affiliation_strings":["DET - Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"DET - Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091299215"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.9114,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72899295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"314","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9767000079154968,"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":0.6036792993545532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48013851046562195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036792993545532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48013851046562195}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot48571.2020.9138291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 &amp; IoT","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976317364","https://openalex.org/W2054995207","https://openalex.org/W2111619626","https://openalex.org/W2162800060","https://openalex.org/W2169713586","https://openalex.org/W2274269197","https://openalex.org/W2478243376","https://openalex.org/W2795282075","https://openalex.org/W2797301703","https://openalex.org/W2892290645","https://openalex.org/W2895471314","https://openalex.org/W2897978524","https://openalex.org/W2963371670","https://openalex.org/W3004556052","https://openalex.org/W4236633266","https://openalex.org/W4289438483","https://openalex.org/W6750523955","https://openalex.org/W6755765851"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Artificial":[0],"intelligence,":[1],"sensors":[2,5],"technology":[3],"and":[4,51,86,97,101],"networks":[6],"influence":[7],"people":[8],"behavior":[9],"in":[10,31,54,135,139],"everyday":[11],"life.":[12],"The":[13,73,122,132],"diffusion":[14],"of":[15,21,57,79],"mobile":[16],"devices,":[17],"based":[18],"on":[19],"Internet":[20,38],"Things":[22],"(IoT)":[23],"paradigms,":[24],"has":[25,125],"created":[26],"specific":[27],"solutions":[28],"for":[29],"applications,":[30],"which":[32,68,82,108],"physical":[33],"objects":[34],"are":[35,104],"connected":[36],"to":[37,65,111,146],"system.":[39],"Wearable":[40],"IoT":[41,46],"(WIoT)":[42],"represents":[43],"a":[44,61,80,118,143,151],"new":[45],"area,":[47],"concerning":[48],"detection,":[49],"processing":[50],"communication":[52],"capabilities":[53],"the":[55,77,87,113,129],"field":[56],"healthcare.":[58],"Vital-ECG":[59],"is":[60,109,142],"smart":[62],"device,":[63],"related":[64],"health":[66],"monitoring,":[67],"complies":[69],"with":[70],"gender":[71,133],"equality.":[72],"wearable":[74],"device":[75],"takes":[76],"form":[78],"smartwatch,":[81],"monitors":[83],"heart":[84],"activity":[85],"most":[88],"important":[89],"vital":[90],"parameters:":[91],"blood":[92,114],"oxygen":[93],"saturation,":[94],"skin":[95],"temperature":[96],"fatigue":[98],"level.":[99],"Electrocardiogram":[100],"plethysmogram":[102],"signals":[103],"acquired":[105],"from":[106,149],"Vital-ECG,":[107],"able":[110],"track":[112],"pressure":[115],"values,":[116],"through":[117],"deep":[119],"learning":[120],"implementation.":[121],"neural":[123],"algorithm":[124],"been":[126],"implemented":[127],"avoiding":[128],"\u201cGender":[130],"Bias\u201d.":[131],"balance":[134],"machine":[136],"learning,":[137],"especially":[138],"biomedical":[140],"application,":[141],"crucial":[144],"point":[145],"prevent":[147],"algorithms":[148],"making":[150],"distorted":[152],"prediction,":[153],"disadvantaging":[154],"women.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
