{"id":"https://openalex.org/W2728130819","doi":"https://doi.org/10.1109/siu.2017.7960235","title":"Determination of R-peaks in ECG signal using Hilbert Transform and Pan-Tompkins Algorithms","display_name":"Determination of R-peaks in ECG signal using Hilbert Transform and Pan-Tompkins Algorithms","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2728130819","doi":"https://doi.org/10.1109/siu.2017.7960235","mag":"2728130819"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5016140593","display_name":"Aykut Di\u0307ker","orcid":"https://orcid.org/0000-0002-1207-8548"},"institutions":[{"id":"https://openalex.org/I41055640","display_name":"Bitlis Eren University","ror":"https://ror.org/00mm4ys28","country_code":"TR","type":"education","lineage":["https://openalex.org/I41055640"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Aykut Diker","raw_affiliation_strings":["Enformatik B\u00f6l\u00fcm\u00fc, Bitlis Eren \u00dcniversitesi, Bitlis, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Enformatik B\u00f6l\u00fcm\u00fc, Bitlis Eren \u00dcniversitesi, Bitlis, T\u00fcrkiye","institution_ids":["https://openalex.org/I41055640"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070904845","display_name":"Engin Avc\u0131","orcid":"https://orcid.org/0000-0002-5881-1530"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Engin Avci","raw_affiliation_strings":["Yaz\u0131l\u0131m M\u00fchendisli\u011fi, Elektrik-Elektronik M\u00fchendisli\u011fi, F\u0131rat \u00dcniversitesi, Elaz\u0131\u011f, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Yaz\u0131l\u0131m M\u00fchendisli\u011fi, Elektrik-Elektronik M\u00fchendisli\u011fi, F\u0131rat \u00dcniversitesi, Elaz\u0131\u011f, T\u00fcrkiye","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043973319","display_name":"Mehmet Gedikp\u0131nar","orcid":"https://orcid.org/0000-0002-1045-7384"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Gedikpinar","raw_affiliation_strings":["Yaz\u0131l\u0131m M\u00fchendisli\u011fi, Elektrik-Elektronik M\u00fchendisli\u011fi, F\u0131rat \u00dcniversitesi, Elaz\u0131\u011f, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Yaz\u0131l\u0131m M\u00fchendisli\u011fi, Elektrik-Elektronik M\u00fchendisli\u011fi, F\u0131rat \u00dcniversitesi, Elaz\u0131\u011f, T\u00fcrkiye","institution_ids":["https://openalex.org/I143396566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016140593"],"corresponding_institution_ids":["https://openalex.org/I41055640"],"apc_list":null,"apc_paid":null,"fwci":1.5766,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84798021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":1.0,"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":1.0,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.6992381811141968},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6602455377578735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4982118606567383},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49462220072746277},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.49442005157470703},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4927544891834259},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4589157998561859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4567881226539612},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4017948508262634},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34518009424209595},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1543031632900238},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13954231142997742},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10700646042823792},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08921569585800171},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.08290836215019226},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.0716392993927002}],"concepts":[{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.6992381811141968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6602455377578735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4982118606567383},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49462220072746277},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.49442005157470703},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4927544891834259},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4589157998561859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4567881226539612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4017948508262634},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34518009424209595},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1543031632900238},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13954231142997742},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10700646042823792},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08921569585800171},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.08290836215019226},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0716392993927002},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1994314787","https://openalex.org/W2019885331","https://openalex.org/W2030693654","https://openalex.org/W2074820813","https://openalex.org/W2111734402","https://openalex.org/W2127510558","https://openalex.org/W2159934838","https://openalex.org/W2162273778","https://openalex.org/W2179624132","https://openalex.org/W2522767410","https://openalex.org/W6685681863"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2400155998","https://openalex.org/W2043302357","https://openalex.org/W2359093779"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"illustrates":[2],"the":[3,7,12,19,23,26,34,56,77,81],"electrical":[4],"activity":[5],"in":[6,33,41],"heart,":[8],"and":[9,66,85,95],"it":[10],"is":[11,37,74],"most":[13],"important":[14,39],"physiological":[15],"parameter":[16,40],"that":[17],"gives":[18],"correct":[20],"assessment":[21],"regarding":[22],"functioning":[24],"of":[25,30,43,52,80,90,93,98],"heart.":[27],"Accurate":[28],"detection":[29,88],"R":[31,50,71],"peaks":[32,51],"ECG":[35,53,78],"signal":[36],"an":[38],"determining":[42],"heart":[44],"disorders.":[45],"In":[46],"this":[47],"study,":[48],"The":[49,69],"records":[54,79],"from":[55],"Physionet":[57],"MIT-BIH":[58,82],"arrhythmia":[59,83],"database":[60],"were":[61],"detected":[62],"using":[63,76],"Hilbert":[64],"Transform":[65],"Pan-Tompkins":[67,70],"Algorithms.":[68],"peak":[72],"detector":[73],"validated":[75],"database,":[84],"achieves":[86],"with":[87],"accuracy":[89],"97.12%,":[91],"sensitivity":[92],"98.46%":[94],"positive":[96],"predictivity":[97],"98.62%.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
