{"id":"https://openalex.org/W2024929502","doi":"https://doi.org/10.1109/embc.2012.6347414","title":"An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Lo&amp;#x00E8;ve transforms","display_name":"An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Lo&amp;#x00E8;ve transforms","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2024929502","doi":"https://doi.org/10.1109/embc.2012.6347414","mag":"2024929502","pmid":"https://pubmed.ncbi.nlm.nih.gov/23367349"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2012.6347414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6347414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5017050304","display_name":"Teresa Rocha","orcid":"https://orcid.org/0000-0002-3497-7368"},"institutions":[{"id":"https://openalex.org/I4210125590","display_name":"Institute for Systems Engineering and Computers","ror":"https://ror.org/033wn8m60","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"T. Rocha","raw_affiliation_strings":["Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal. teresa@isec.pt","Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal. teresa@isec.pt","institution_ids":["https://openalex.org/I4210125590"]},{"raw_affiliation_string":"Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal","institution_ids":["https://openalex.org/I4210125590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068198903","display_name":"S. Paredes","orcid":"https://orcid.org/0000-0002-1021-1173"},"institutions":[{"id":"https://openalex.org/I4210125590","display_name":"Institute for Systems Engineering and Computers","ror":"https://ror.org/033wn8m60","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"S. Paredes","raw_affiliation_strings":["Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Superior de Engenharia de Coimbra, Portugal","institution_ids":["https://openalex.org/I4210125590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083637401","display_name":"P. Carvalho","orcid":"https://orcid.org/0000-0002-9847-0590"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"P. Carvalho","raw_affiliation_strings":["CISUC, Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra Polo II, Portugal","CISUC/Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"CISUC, Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra Polo II, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"CISUC/Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083997342","display_name":"J. Henriques","orcid":"https://orcid.org/0000-0003-4622-474X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"J. Henriques","raw_affiliation_strings":["CISUC, Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra Polo II, Portugal","CISUC/Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"CISUC, Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra Polo II, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"CISUC/Departamento de Engenharia Inform\u00e1tica, Universidade de Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017050304"],"corresponding_institution_ids":["https://openalex.org/I4210125590"],"apc_list":null,"apc_paid":null,"fwci":0.7345,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72897917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2012","issue":null,"first_page":"6216","last_page":"6219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.8041085004806519},{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.748306155204773},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6176592707633972},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5768413543701172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753899812698364},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5604979395866394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5236199498176575},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5105453729629517},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5053187012672424},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49223271012306213},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47553157806396484},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.475501149892807},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4255569875240326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941073715686798},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36827656626701355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36581945419311523},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.30485090613365173}],"concepts":[{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.8041085004806519},{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.748306155204773},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6176592707633972},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5768413543701172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753899812698364},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5604979395866394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5236199498176575},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5105453729629517},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5053187012672424},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49223271012306213},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47553157806396484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.475501149892807},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4255569875240326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941073715686798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36827656626701355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36581945419311523},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.30485090613365173},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D006973","descriptor_name":"Hypertension","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013686","descriptor_name":"Telemetry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013686","descriptor_name":"Telemetry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013686","descriptor_name":"Telemetry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2012.6347414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6347414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:23367349","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23367349","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W32228216","https://openalex.org/W1499049447","https://openalex.org/W2018546346","https://openalex.org/W2024025922","https://openalex.org/W2036557187","https://openalex.org/W2083888736","https://openalex.org/W2130876538","https://openalex.org/W2138087993","https://openalex.org/W2143200788","https://openalex.org/W6601272258","https://openalex.org/W6659467978"],"related_works":["https://openalex.org/W2377605153","https://openalex.org/W191391683","https://openalex.org/W2366623948","https://openalex.org/W2371096191","https://openalex.org/W116950394","https://openalex.org/W2158234487","https://openalex.org/W2015325622","https://openalex.org/W2187285467","https://openalex.org/W2024929502","https://openalex.org/W2062611563"],"abstract_inverted_index":{"The":[0,20,57],"present":[1,5],"work":[2],"aims":[3],"to":[4,10,97,131],"an":[6,79],"innovative":[7],"measure":[8,59],"able":[9],"efficiently":[11],"evaluate":[12],"the":[13,24,43,49,63,70,84,89,93,142],"similarity":[14,58],"between":[15],"two":[16],"physiological":[17],"time":[18,76],"series.":[19,77],"proposed":[21],"methodology":[22],"combines":[23],"Haar":[25],"wavelet":[26],"decomposition,":[27],"in":[28,107,111,141],"which":[29],"signals":[30,134],"are":[31],"represented":[32],"as":[33,116],"linear":[34,71],"combinations":[35],"of":[36,39,52,55,74,92,144],"a":[37,137],"set":[38,54],"orthogonal":[40],"basis,":[41],"with":[42],"Karhunen-Lo\u00e8ve":[44],"transform,":[45],"that":[46,53],"allows":[47],"for":[48,82],"optimal":[50],"reduction":[51],"basis.":[56],"is":[60],"based":[61],"on":[62],"Euclidean":[64],"distance,":[65],"but":[66],"indirectly":[67],"calculated":[68],"through":[69],"combination":[72],"coefficients":[73,86],"both":[75],"Moreover,":[78],"iterative":[80],"scheme":[81],"computing":[83],"referred":[85],"significantly":[87],"decreases":[88],"computational":[90,112],"complexity":[91],"method":[94],"that,":[95],"due":[96],"its":[98],"simplicity":[99],"and":[100,125],"fast":[101],"execution,":[102],"can":[103],"be":[104],"easily":[105],"applicable":[106],"clinical":[108],"applications,":[109],"namely":[110],"demanding":[113],"contexts":[114],"such":[115],"telemonitoring":[117,138],"environments.":[118],"This":[119],"strategy":[120],"has":[121],"been":[122],"successfully":[123],"implemented":[124],"validated":[126],"inside":[127],"HeartCycle":[128],"project,":[129],"applied":[130],"blood":[132],"pressure":[133],"collected":[135],"by":[136],"platform":[139],"(TEN-HMS)":[140],"recognition":[143],"hypertension":[145],"episodes.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2016-06-24T00:00:00"}
