{"id":"https://openalex.org/W2964281427","doi":"https://doi.org/10.1109/iwcmc.2019.8766495","title":"Heart of IoT: ECG as biometric sign for authentication and identification","display_name":"Heart of IoT: ECG as biometric sign for authentication and identification","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2964281427","doi":"https://doi.org/10.1109/iwcmc.2019.8766495","mag":"2964281427"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2019.8766495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","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/A5062022095","display_name":"Alex Barros","orcid":"https://orcid.org/0000-0002-8900-2218"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alex Barros","raw_affiliation_strings":["Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029447124","display_name":"D\u00eanis Ros\u00e1rio","orcid":"https://orcid.org/0000-0003-1119-2450"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denis Rosario","raw_affiliation_strings":["Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079826091","display_name":"Paulo Resque","orcid":null},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Resque","raw_affiliation_strings":["Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052758924","display_name":"Eduardo Cerqueira","orcid":"https://orcid.org/0000-0003-2162-6523"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Cerqueira","raw_affiliation_strings":["Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1 (UFPA), Bel\u00e9m, Brazil","institution_ids":["https://openalex.org/I59606676"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":2.8664,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.90942803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9988999962806702,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8358772993087769},{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.8247741460800171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827274799346924},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6714894771575928},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.640129804611206},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5895345211029053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5257424116134644},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47026142477989197},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4675993323326111},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4498540163040161},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.447015643119812},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.4417082965373993},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4062451124191284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37706589698791504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3755483627319336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3609640598297119}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8358772993087769},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.8247741460800171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827274799346924},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6714894771575928},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.640129804611206},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5895345211029053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257424116134644},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47026142477989197},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4675993323326111},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4498540163040161},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.447015643119812},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.4417082965373993},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4062451124191284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37706589698791504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3755483627319336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3609640598297119},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2019.8766495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1912123407","https://openalex.org/W2002944066","https://openalex.org/W2007123640","https://openalex.org/W2045844656","https://openalex.org/W2134566476","https://openalex.org/W2162800060","https://openalex.org/W2170941890","https://openalex.org/W2171801645","https://openalex.org/W2265356345","https://openalex.org/W2599882580","https://openalex.org/W2739207898","https://openalex.org/W2804426336","https://openalex.org/W2809242972","https://openalex.org/W2897265506","https://openalex.org/W2907847267","https://openalex.org/W2996419679","https://openalex.org/W6640114639"],"related_works":["https://openalex.org/W2922114246","https://openalex.org/W2171193634","https://openalex.org/W2785438274","https://openalex.org/W2609035398","https://openalex.org/W2889989850","https://openalex.org/W2185970706","https://openalex.org/W2546942002","https://openalex.org/W2345184372","https://openalex.org/W2546620801","https://openalex.org/W3081801061"],"abstract_inverted_index":{"As":[0],"IoT":[1],"(Internet":[2],"of":[3,13,40,45,52,129,136,151],"Things)":[4],"has":[5,73,84,156],"expanded":[6],"year":[7,9],"over":[8],"enabling":[10],"the":[11,22,31,50,123,137,149,152,163],"presence":[12],"sensing":[14],"in":[15,162,179],"almost":[16],"everywhere.":[17],"This":[18],"leads":[19],"to":[20,37,89,113,171,176],"increase":[21,177],"concerns":[23],"about":[24],"authentication":[25,165],"and":[26,42,61,96,115,166,183],"security.":[27],"In":[28,47,99],"this":[29,48,100],"scenario,":[30,168],"academy":[32],"is":[33,64],"engaged":[34],"with":[35],"alternatives":[36],"automated":[38],"recognition":[39],"individuals":[41],"provide":[43],"proof":[44],"liveness.":[46],"context,":[49],"application":[51],"physiological":[53],"features":[54,85],"such":[55,92],"as":[56,79],"ECG":[57,72],"(electrocardiography),":[58],"PPG":[59],"(photoplethysmography),":[60],"EMG":[62],"(electromyogram)":[63],"a":[65,104,173],"promising":[66],"approach":[67,175],"for":[68,143],"continuous":[69,164],"authentication.":[70],"Specifically,":[71],"been":[74],"used":[75,139],"by":[76],"many":[77,180],"researchers":[78],"biometric":[80],"identification,":[81],"since":[82],"it":[83],"that":[86,117],"are":[87],"unique":[88],"an":[90],"individual,":[91],"as,":[93],"statistical,":[94],"morphological,":[95],"wavelet":[97],"features.":[98],"paper,":[101],"we":[102],"proposed":[103,153],"particular":[105],"feature":[106],"selection,":[107],"using":[108],"only":[109],"fiducial":[110],"points":[111],"related":[112],"amplitude":[114],"time":[116],"can":[118],"be":[119,172],"found":[120],"directly":[121],"from":[122],"signal":[124],"acquired,":[125],"without":[126],"any":[127],"kind":[128],"complex":[130],"processing.":[131],"We":[132],"also":[133],"investigate":[134],"some":[135],"most":[138],"machine":[140],"learning":[141],"algorithms":[142],"user":[144],"identification.":[145],"Evaluation":[146],"results":[147],"show":[148],"potential":[150],"solution,":[154],"which":[155,169],"reached":[157],"accuracy":[158],"higher":[159],"than":[160],"98.2%":[161],"identification":[167],"seems":[170],"feasible":[174],"security":[178],"critical":[181],"applications":[182],"services.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}