{"id":"https://openalex.org/W2033259280","doi":"https://doi.org/10.1109/expat.2013.6703043","title":"Trend prediction methodology based on time series similarity analysis and haar wavelet decomposition","display_name":"Trend prediction methodology based on time series similarity analysis and haar wavelet decomposition","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2033259280","doi":"https://doi.org/10.1109/expat.2013.6703043","mag":"2033259280"},"language":"en","primary_location":{"id":"doi:10.1109/expat.2013.6703043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/expat.2013.6703043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 2nd Experiment@ International Conference (exp.at'13)","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/A5017050304","display_name":"Teresa Rocha","orcid":"https://orcid.org/0000-0002-3497-7368"},"institutions":[{"id":"https://openalex.org/I293362453","display_name":"Polytechnic Institute of Coimbra","ror":"https://ror.org/01n8x4993","country_code":"PT","type":"education","lineage":["https://openalex.org/I293362453"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Teresa Rocha","raw_affiliation_strings":["Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Polit\u00e9cnico de Coimbra, Coimbra","Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Polit\u00e9cnico de Coimbra, Coimbra","institution_ids":["https://openalex.org/I293362453"]},{"raw_affiliation_string":"Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I293362453"]}]},{"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/I293362453","display_name":"Polytechnic Institute of Coimbra","ror":"https://ror.org/01n8x4993","country_code":"PT","type":"education","lineage":["https://openalex.org/I293362453"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Simao Paredes","raw_affiliation_strings":["Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Polit\u00e9cnico de Coimbra, Coimbra","Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"Departamento de Engenharia Inform\u00e1tica e de Sistemas, Instituto Polit\u00e9cnico de Coimbra, Coimbra","institution_ids":["https://openalex.org/I293362453"]},{"raw_affiliation_string":"Dept. de Eng. Inf. e de Sist., Inst. Politec. de Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I293362453"]}]},{"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":"Paulo Carvalho","raw_affiliation_strings":["CISUC, Universidade de Coimbra, Coimbra, Portugal","Dept. de Eng. Inf., Univ. de Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"CISUC, Universidade de Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"Dept. de Eng. Inf., Univ. de Coimbra, 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":"Jorge Henriques","raw_affiliation_strings":["CISUC, Universidade de Coimbra, Coimbra, Portugal","Dept. de Eng. Inf., Univ. de Coimbra, Coimbra, Portugal"],"affiliations":[{"raw_affiliation_string":"CISUC, Universidade de Coimbra, Coimbra, Portugal","institution_ids":["https://openalex.org/I76903346"]},{"raw_affiliation_string":"Dept. de Eng. Inf., Univ. de Coimbra, 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/I293362453"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.10325641,"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":"122","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9617999792098999,"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"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9610000252723694,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.9790377616882324},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.790973424911499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743558645248413},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5849003791809082},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5602016448974609},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5135388374328613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49868202209472656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4877632260322571},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4850177466869354},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4686177372932434},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4403202533721924},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4133416414260864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08290955424308777}],"concepts":[{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.9790377616882324},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.790973424911499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743558645248413},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5849003791809082},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5602016448974609},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5135388374328613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49868202209472656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4877632260322571},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4850177466869354},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4686177372932434},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4403202533721924},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4133416414260864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08290955424308777},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/expat.2013.6703043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/expat.2013.6703043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 2nd Experiment@ International Conference (exp.at'13)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1569512666","https://openalex.org/W1987111416","https://openalex.org/W2018546346","https://openalex.org/W2036557187","https://openalex.org/W2050891547","https://openalex.org/W2069264932","https://openalex.org/W2109685502","https://openalex.org/W2130876538","https://openalex.org/W2138087993","https://openalex.org/W6659467978"],"related_works":["https://openalex.org/W2033259280","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W191391683","https://openalex.org/W2377605153","https://openalex.org/W2172291505","https://openalex.org/W2023142747","https://openalex.org/W2037009764","https://openalex.org/W2063036707","https://openalex.org/W2366623948"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,14,31,43,52,76],"strategy":[4],"for":[5],"the":[6,24,27,47,59,68,73,92,96,104,111,122,134,142,145,152],"prediction":[7,146],"of":[8,30,51,95,110,138],"biosignals'":[9],"future":[10,28,125],"trend,":[11],"based":[12,22],"on":[13,23,67],"Haar":[15],"wavelet":[16,93],"transform.":[17],"The":[18,81],"proposed":[19,82,135],"scheme":[20,78],"is":[21,79],"hypothesis":[25],"that":[26],"evolution":[29],"given":[32],"biosignal":[33,62,124],"(template)":[34],"can":[35],"be":[36],"estimated":[37],"from":[38],"similar":[39,69,100],"patterns":[40,70],"existent":[41],"in":[42,151],"historic":[44],"dataset.":[45],"Thus,":[46],"first":[48],"step":[49],"consists":[50],"simple":[53],"and":[54,99,144,162,171],"efficient":[55],"measure":[56],"to":[57,102,120,132],"evaluate":[58],"similarity":[60,74,143],"between":[61],"time":[63],"series.":[64],"Then,":[65],"supported":[66],"identified":[71],"using":[72,155],"process,":[75],"predictive":[77],"introduced.":[80],"approach,":[83],"which":[84],"does":[85],"not":[86],"use":[87],"an":[88],"explicit":[89],"model,":[90],"considers":[91],"decomposition":[94,113],"signals":[97,157],"(template":[98],"patterns)":[101],"determine":[103],"most":[105],"representative":[106],"trend":[107],"at":[108],"each":[109],"several":[112],"levels.":[114],"These":[115,148],"trends":[116],"are":[117],"then":[118],"aggregated":[119],"derive":[121],"required":[123],"estimation.":[126],"A":[127],"Matlab":[128],"tool":[129],"was":[130],"developed":[131],"support":[133],"strategy,":[136],"consisting":[137],"two":[139,167],"main":[140],"components:":[141],"modules.":[147],"were":[149],"applied":[150],"validation":[153],"task":[154],"vital":[156],"(heart":[158],"rate,":[159],"blood":[160],"pressure":[161],"weight)":[163],"daily":[164],"collected":[165],"during":[166],"tele-monitoring":[168],"studies:":[169],"TEN-HMS":[170],"MyHeart.":[172]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
