{"id":"https://openalex.org/W2810347182","doi":"https://doi.org/10.23919/mipro.2018.8400058","title":"Optimal DSP bandpass filtering for QRS detection","display_name":"Optimal DSP bandpass filtering for QRS detection","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2810347182","doi":"https://doi.org/10.23919/mipro.2018.8400058","mag":"2810347182"},"language":"en","primary_location":{"id":"doi:10.23919/mipro.2018.8400058","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5005558317","display_name":"Marjan Gu\u0161ev","orcid":"https://orcid.org/0000-0003-0351-9783"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":true,"raw_author_name":"Marjan Gusev","raw_affiliation_strings":["Faculty of Computer Sciences and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Sciences and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041451103","display_name":"Ervin Domazet","orcid":null},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Ervin Domazet","raw_affiliation_strings":["Faculty of Computer Sciences and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Sciences and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005558317"],"corresponding_institution_ids":["https://openalex.org/I76245029"],"apc_list":null,"apc_paid":null,"fwci":0.5086,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68726064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9746000170707703,"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":0.9739999771118164,"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/band-pass-filter","display_name":"Band-pass filter","score":0.7380778789520264},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.5907697677612305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578266978263855},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5430670380592346},{"id":"https://openalex.org/keywords/filtering-theory","display_name":"Filtering theory","score":0.4853764772415161},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3595108389854431},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1878374218940735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1756061315536499},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1679089367389679},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14969652891159058},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.13652870059013367}],"concepts":[{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.7380778789520264},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.5907697677612305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578266978263855},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5430670380592346},{"id":"https://openalex.org/C2988922011","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering theory","level":2,"score":0.4853764772415161},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3595108389854431},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1878374218940735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1756061315536499},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1679089367389679},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14969652891159058},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.13652870059013367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro.2018.8400058","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6600000262260437,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1515135833","https://openalex.org/W1964081270","https://openalex.org/W2095409369","https://openalex.org/W2099619765","https://openalex.org/W2151712763","https://openalex.org/W2162273778","https://openalex.org/W2169785732","https://openalex.org/W2567438008","https://openalex.org/W2626358393","https://openalex.org/W2734886195","https://openalex.org/W2745440433","https://openalex.org/W2746343500","https://openalex.org/W2915276330","https://openalex.org/W4205805944"],"related_works":["https://openalex.org/W2913364957","https://openalex.org/W2099007725","https://openalex.org/W2100963058","https://openalex.org/W2076935392","https://openalex.org/W2362875310","https://openalex.org/W2141587077","https://openalex.org/W1517483760","https://openalex.org/W2266514400","https://openalex.org/W2122609713","https://openalex.org/W2131965293"],"abstract_inverted_index":{"An":[0],"electrocardiogram":[1],"refers":[2],"to":[3,83,113,126,179],"the":[4,8,12,25,30,44,59,85,99,105,110,115,129,132],"process":[5],"of":[6,11,29,33,40,48,153,170],"recording":[7],"electrical":[9],"activity":[10],"heart":[13],"over":[14],"a":[15,67,123,150],"certain":[16],"time":[17],"interval.":[18],"ECG":[19,55,75,94,102,184],"signal":[20,95,103],"holds":[21],"vital":[22],"information":[23],"for":[24,182],"current":[26],"health":[27],"condition":[28],"patient.":[31],"Detection":[32,47],"cardiac":[34],"disorders":[35],"is":[36,51,97],"based":[37,52],"on":[38,53,72,138,145],"detection":[39,92],"sudden":[41],"deviations":[42],"from":[43],"mean":[45],"line.":[46],"heartbeat":[49,86],"functions":[50],"extracting":[54],"characteristic":[56],"features,":[57],"especially":[58],"R-peak.":[60],"Although":[61],"in":[62,91],"this":[63,119],"paper":[64],"we":[65,70,121],"address":[66],"general":[68],"approach,":[69],"focus":[71],"using":[73],"wearable":[74,183],"sensors":[76],"and":[77,93,104,135,156,163],"developing":[78],"an":[79,171],"efficient":[80,172],"QRS":[81,139],"detector":[82],"determine":[84],"function.":[87],"The":[88,166],"real":[89],"problem":[90],"analysis":[96,167],"processing":[98],"noise":[100],"contaminated":[101],"way":[106],"one":[107],"can":[108],"reduce":[109],"feature":[111],"space":[112],"extract":[114],"relevant":[116],"features.":[117],"In":[118],"paper,":[120],"set":[122],"research":[124],"question":[125],"investigate":[127],"how":[128],"filter":[130,147,173],"affects":[131],"accuracy,":[133],"sensitivity":[134],"precision":[136],"values":[137],"detectors.":[140],"We":[141],"report":[142],"our":[143],"findings":[144],"optimal":[146],"design":[148],"with":[149,174],"central":[151],"frequency":[152],"8.33":[154],"Hz":[155,162],"-3db":[157],"cutoff":[158],"frequencies":[159],"at":[160],"4":[161],"20":[164],"Hz.":[165],"addresses":[168],"development":[169],"small":[175],"computing":[176],"complexity":[177],"intended":[178],"be":[180],"used":[181],"sensors.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
