{"id":"https://openalex.org/W2269586259","doi":null,"title":"Classification of ECG signal using Complex-Valued Continuous Wavelet Transforms","display_name":"Classification of ECG signal using Complex-Valued Continuous Wavelet Transforms","publication_year":2006,"publication_date":"2006-11-01","ids":{"openalex":"https://openalex.org/W2269586259","mag":"2269586259"},"language":"ko","primary_location":{"id":"mag:2269586259","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06324406","pdf_url":null,"source":{"id":"https://openalex.org/S4306495813","display_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5081119296","display_name":"Hee-Don Seo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hee-Don Seo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041371940","display_name":"Berdakh Abibullaev","orcid":"https://orcid.org/0000-0002-8623-5526","observed_orcids":["https://orcid.org/0000-0002-8623-5526"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berdakh Abibullaev","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8623-5526","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"613"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ecg-classification","display_name":"ECG classification","score":0.8159999847412109},{"id":"https://openalex.org/keywords/non-stationary-signals","display_name":"non-stationary signals","score":0.925000011920929},{"id":"https://openalex.org/keywords/time-frequency-analysis","display_name":"time-frequency analysis","score":0.6859999895095825},{"id":"https://openalex.org/keywords/inflection-point-detection","display_name":"inflection point detection","score":0.6579999923706055},{"id":"https://openalex.org/keywords/fourier-transform-comparison","display_name":"Fourier transform comparison","score":0.7570000290870667}],"concepts":[{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.7304913401603699},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6308656930923462},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6306178569793701},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6298566460609436},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.6181084513664246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6156408786773682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5920453071594238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670604705810547},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5599399209022522},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.48215314745903015},{"id":"https://openalex.org/C124062153","wikidata":"https://www.wikidata.org/wiki/Q7806645","display_name":"Time\u2013frequency representation","level":4,"score":0.47508254647254944},{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.47079458832740784},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.44863173365592957},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.44613131880760193},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.4444361925125122},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4346909523010254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4045412242412567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36364006996154785},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.33225011825561523},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.30273061990737915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2707168459892273},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14144381880760193},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2269586259","doi":null,"is_oa":false,"landing_page_url":"http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06324406","pdf_url":null,"source":{"id":"https://openalex.org/S4306495813","display_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ub300\ud55c\uc804\uc790\uacf5\ud559\ud68c \ud559\uc220\ub300\ud68c","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W347521908","https://openalex.org/W2759775138","https://openalex.org/W2029998768","https://openalex.org/W2278411574","https://openalex.org/W2162840091","https://openalex.org/W4286850459","https://openalex.org/W2049758491","https://openalex.org/W2954574183","https://openalex.org/W140618037","https://openalex.org/W3095223711"],"abstract_inverted_index":{"In":[0,109],"this":[1],"study":[2],"the":[3,68,73,83,86,100,110,138],"complex-valued":[4,95],"continuous":[5,96],"wavelet":[6,97],"transform":[7,98],"(CWT)":[8],"has":[9,75],"been":[10],"applied":[11,61],"in":[12,148],"detection":[13],"of":[14,31,45,72,91],"Electrocardiograms":[15],"(ECG)":[16],"as":[17,25,42,49,129,144,152],"response":[18],"to":[19,63,103],"various":[20],"signal":[21,47,53,74,93],"classification":[22],"methods":[23],"such":[24,151],"Fourier":[26],"transforms":[27],"and":[28,67,107,114],"other":[29],"tools":[30],"time":[32,58,87],"frequency":[33],"analysis.":[34],"Experiments":[35],"have":[36,135],"shown":[37],"that":[38,78,137],"CWT":[39,62,140],"may":[40],"serve":[41],"a":[43,145],"detector":[44,147],"non-stationary":[46],"changes":[48,106],"ECG":[50,92],"The":[51],"tested":[52],"is":[54,99],"corrupted":[55],"by":[56],"short":[57],"events.":[59],"We":[60,134],"detect":[64,104],"short-time":[65],"event":[66],"result":[69],"image":[70],"representation":[71],"showed":[76],"us":[77],"one":[79],"can":[80,141],"easily":[81],"find":[82],"discontinuity":[84],"at":[85],"scale":[88],"representation.":[89],"Analysis":[90],"using":[94],"first":[101],"step":[102],"possible":[105],"alternans.":[108],"second":[111],"step,":[112],"modulus":[113],"phase":[115],"must":[116],"be":[117,142],"thoroughly":[118],"examined.":[119],"Thus,":[120],"maxima,":[121],"minima,":[122],"or":[123,132],"even":[124],"inflection":[125],"points":[126],"are":[127],"found":[128],"detectable":[130],"maxima":[131],"minima.":[133],"proved":[136],"Complex-Valued":[139],"used":[143],"good":[146],"nonstationary":[149],"signals":[150],"ECG.":[153]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}