{"id":"https://openalex.org/W2085446761","doi":"https://doi.org/10.1109/bmei.2011.6098485","title":"ECG based human identification using wavelet distance measurement","display_name":"ECG based human identification using wavelet distance measurement","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2085446761","doi":"https://doi.org/10.1109/bmei.2011.6098485","mag":"2085446761"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5023991306","display_name":"Morteza Elahi Naraghi","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Morteza Elahi Naraghi","raw_affiliation_strings":["BiSIPL, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"BiSIPL, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021460534","display_name":"Mohammad Bagher Shamsollahi","orcid":"https://orcid.org/0000-0001-8179-2086"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Bagher Shamsollahi","raw_affiliation_strings":["BiSIPL, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"BiSIPL, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023991306"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.17880354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"717","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9916999936103821,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.977400004863739,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6375133395195007},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.636258602142334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6324803829193115},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6225857138633728},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6218080520629883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5341815948486328},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4925912022590637},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.479418009519577},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46638062596321106},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4270893633365631},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12146228551864624},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09527483582496643},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.05599978566169739}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6375133395195007},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.636258602142334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6324803829193115},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6225857138633728},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6218080520629883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5341815948486328},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4925912022590637},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.479418009519577},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46638062596321106},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4270893633365631},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12146228551864624},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09527483582496643},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.05599978566169739},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","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":8,"referenced_works":["https://openalex.org/W2002422013","https://openalex.org/W2063358975","https://openalex.org/W2101972534","https://openalex.org/W2115755118","https://openalex.org/W2122430367","https://openalex.org/W2535940264","https://openalex.org/W2544984498","https://openalex.org/W3161879169"],"related_works":["https://openalex.org/W2541950815","https://openalex.org/W1577789985","https://openalex.org/W810659553","https://openalex.org/W2163073107","https://openalex.org/W2037328875","https://openalex.org/W1982375519","https://openalex.org/W2942471066","https://openalex.org/W2545095649","https://openalex.org/W3003836766","https://openalex.org/W2148116311"],"abstract_inverted_index":{"In":[0],"this":[1,22],"Paper":[2],"a":[3,61],"new":[4],"approach":[5],"is":[6,24,83],"proposed":[7],"for":[8],"electrocardiogram":[9],"(ECG)":[10],"based":[11],"human":[12,63],"identification":[13,64],"using":[14,56],"wavelet":[15],"distance":[16],"measurement.":[17],"The":[18,41],"main":[19],"advantage":[20],"of":[21,53],"method":[23,82],"that":[25,80],"it":[26,35],"guarantees":[27],"high":[28],"accuracy":[29],"even":[30],"in":[31,86,91,96],"abnormal":[32,51,71,97],"cases.":[33],"Furthermore,":[34],"possesses":[36],"low":[37],"sensitivity":[38],"to":[39,77],"noise.":[40],"algorithm":[42],"was":[43,66],"applied":[44],"on":[45,67],"11":[46],"normal":[47,69,92],"subjects":[48,52,93],"and":[49,60,70,94],"10":[50],"MIT-BIH":[54],"Database":[55],"single":[57],"lead":[58],"data,":[59],"100%":[62],"rate":[65],"both":[68],"subjects.":[72,98],"Adding":[73],"artificial":[74],"white":[75],"noise":[76],"signals":[78],"shows":[79],"the":[81],"nearly":[84],"accurate":[85],"SNR":[87],"level":[88],"above":[89],"5dB":[90],"20dB":[95]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}