{"id":"https://openalex.org/W3128987212","doi":"https://doi.org/10.1109/icta50426.2020.9332012","title":"Low Complexity ECG Biometric Authentication for IoT Edge Devices","display_name":"Low Complexity ECG Biometric Authentication for IoT Edge Devices","publication_year":2020,"publication_date":"2020-11-23","ids":{"openalex":"https://openalex.org/W3128987212","doi":"https://doi.org/10.1109/icta50426.2020.9332012","mag":"3128987212"},"language":"en","primary_location":{"id":"doi:10.1109/icta50426.2020.9332012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta50426.2020.9332012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","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/A5101457291","display_name":"Guoxin Wang","orcid":"https://orcid.org/0000-0002-3619-3399"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Guoxin Wang","raw_affiliation_strings":["University College Dublin"],"affiliations":[{"raw_affiliation_string":"University College Dublin","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029098934","display_name":"Deepu John","orcid":"https://orcid.org/0000-0002-6139-1100"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Deepu John","raw_affiliation_strings":["University College Dublin"],"affiliations":[{"raw_affiliation_string":"University College Dublin","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013684663","display_name":"Avishek Nag","orcid":"https://orcid.org/0000-0003-1702-1492"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Avishek Nag","raw_affiliation_strings":["University College Dublin"],"affiliations":[{"raw_affiliation_string":"University College Dublin","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101457291"],"corresponding_institution_ids":["https://openalex.org/I100930933"],"apc_list":null,"apc_paid":null,"fwci":0.8962,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78177167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9979000091552734,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/biometrics","display_name":"Biometrics","score":0.8365024328231812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8240954875946045},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6922999620437622},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6886399984359741},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6594088077545166},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6475995182991028},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5658203363418579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5007328987121582},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.473368376493454},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47016093134880066},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42462074756622314},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.42062169313430786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4063721001148224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3223126530647278},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.246222585439682},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1875242292881012},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.14032968878746033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11190584301948547}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8365024328231812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8240954875946045},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6922999620437622},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6886399984359741},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6594088077545166},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6475995182991028},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5658203363418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5007328987121582},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.473368376493454},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47016093134880066},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42462074756622314},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.42062169313430786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4063721001148224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3223126530647278},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.246222585439682},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1875242292881012},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.14032968878746033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11190584301948547},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icta50426.2020.9332012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta50426.2020.9332012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2162800060","https://openalex.org/W2413387551","https://openalex.org/W2790852735","https://openalex.org/W2794557162","https://openalex.org/W2988611956"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Wearable":[0],"Internet":[1],"of":[2,53,69,85],"Things":[3],"(IoT)":[4],"devices":[5],"are":[6,96],"getting":[7],"ubiquitous":[8],"for":[9,28,41,72,98],"continuous":[10],"physiological":[11],"data":[12],"acquisition":[13],"and":[14,83,94],"health":[15],"monitoring.":[16],"This":[17],"paper":[18],"investigates":[19],"an":[20,50],"electrocardiogram":[21],"(ECG)":[22],"based":[23,37],"biometric":[24],"user":[25,42],"authentication":[26,43,51,110],"technique":[27,40,48,71],"IoT":[29,73],"edge":[30,74],"devices.":[31],"A":[32],"convolutional":[33],"neural":[34],"network":[35],"(CNN)":[36],"deep":[38],"learning":[39],"is":[44,92],"proposed.":[45],"The":[46],"proposed":[47],"achieves":[49,108],"accuracy":[52,111],"99.63%":[54],"when":[55],"tested":[56],"with":[57,112],"290":[58],"subjects":[59],"from":[60],"Physionet":[61],"PTB":[62],"ECG":[63],"database.":[64],"To":[65],"limit":[66],"the":[67,70,86,105],"complexity":[68],"nodes,":[75],"we":[76],"applied":[77],"optimisation":[78],"techniques":[79],"such":[80],"as":[81],"binarisation":[82],"approximation":[84],"CNN":[87],"weights.":[88],"Accuracy-vs-time-complexity":[89],"trade-off":[90],"analysis":[91],"performed":[93],"results":[95],"presented":[97],"different":[99],"optimisations.":[100],"Our":[101],"evaluations":[102],"shows":[103],"that":[104],"complexity-optimised":[106],"method":[107],"98.88%":[109],"acceptable":[113],"CPU":[114],"cycles":[115],"consumed.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
