{"id":"https://openalex.org/W3109633190","doi":"https://doi.org/10.1109/ccece47787.2020.9255676","title":"Automatic QRS Detection and Segmentation Using Short Time Fourier Transform and Feature Fusion","display_name":"Automatic QRS Detection and Segmentation Using Short Time Fourier Transform and Feature Fusion","publication_year":2020,"publication_date":"2020-08-30","ids":{"openalex":"https://openalex.org/W3109633190","doi":"https://doi.org/10.1109/ccece47787.2020.9255676","mag":"3109633190"},"language":"en","primary_location":{"id":"doi:10.1109/ccece47787.2020.9255676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5085279346","display_name":"Abdullah Biran","orcid":null},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdullah Biran","raw_affiliation_strings":["McMaster University, Hamilton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080385523","display_name":"Aleksandar Jeremi\u0107","orcid":"https://orcid.org/0000-0002-9350-0121"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aleksandar Jeremic","raw_affiliation_strings":["McMaster University, Hamilton, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.4618,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69310947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"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":0.9997000098228455,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9908999800682068,"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":0.7005158066749573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6482565402984619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.646020233631134},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.6137639284133911},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.606454074382782},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5964581370353699},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5702471733093262},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5468451976776123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4753272831439972},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.4612836241722107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39620620012283325},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.2590712904930115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1703486144542694},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.05929097533226013}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7005158066749573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6482565402984619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646020233631134},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.6137639284133911},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.606454074382782},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5964581370353699},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5702471733093262},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5468451976776123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4753272831439972},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.4612836241722107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39620620012283325},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.2590712904930115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1703486144542694},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05929097533226013},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece47787.2020.9255676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1766888123","https://openalex.org/W1970418973","https://openalex.org/W1988183757","https://openalex.org/W2030780299","https://openalex.org/W2101166342","https://openalex.org/W2117683018","https://openalex.org/W2123922536","https://openalex.org/W2160924754","https://openalex.org/W2162800060","https://openalex.org/W2276849971","https://openalex.org/W2295450700","https://openalex.org/W2469934982","https://openalex.org/W2489707172","https://openalex.org/W2791708589","https://openalex.org/W2809242972","https://openalex.org/W2886357685","https://openalex.org/W2897574883"],"related_works":["https://openalex.org/W2318109418","https://openalex.org/W2008311543","https://openalex.org/W2802845977","https://openalex.org/W3097412542","https://openalex.org/W2120847449","https://openalex.org/W4225639054","https://openalex.org/W2143985734","https://openalex.org/W1967434260","https://openalex.org/W4310813901","https://openalex.org/W1927135183"],"abstract_inverted_index":{"QRS":[0,31,80,85],"detection":[1],"from":[2,64],"an":[3,26],"electrocardiogram":[4],"(ECG)":[5],"is":[6,76],"potentially":[7],"useful":[8],"tool":[9],"in":[10],"many":[11],"applications":[12],"such":[13],"as":[14],"diagnosing":[15],"cardiac":[16],"diseases,":[17],"bio-identification,":[18],"bio-encryption,":[19],"etc.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"present":[25],"automated":[27],"algorithm":[28,57],"for":[29],"detecting":[30],"waves":[32,81],"and":[33,46],"segmenting":[34],"ECG":[35,48,59,66],"signal":[36],"into":[37],"separate":[38],"beats":[39],"using":[40,58],"short":[41],"time":[42],"Fourier":[43],"transform":[44],"(STFT)":[45],"multi-channel":[47],"feature-based":[49],"classification.":[50],"We":[51],"test":[52],"the":[53,65],"performance":[54],"of":[55,61,78],"our":[56,74],"signals":[60],"62":[62],"subjects":[63],"ID":[67],"public":[68],"database.":[69],"The":[70],"results":[71],"show":[72],"that":[73],"method":[75],"capable":[77],"extracting":[79],"with":[82],"99.45%":[83],"average":[84],"segmentation":[86],"accuracy.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}