{"id":"https://openalex.org/W2156837013","doi":"https://doi.org/10.1007/978-3-540-27868-9_103","title":"Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models","display_name":"Preclustering of Electrocardiographic Signals Using Left-to-Right Hidden Markov Models","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2156837013","doi":"https://doi.org/10.1007/978-3-540-27868-9_103","mag":"2156837013"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-27868-9_103","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-27868-9_103","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-27868-9_103.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-27868-9_103.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045984633","display_name":"Pau Mic\u00f3 Tormos","orcid":"https://orcid.org/0000-0002-8089-8329"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pau Mic\u00f3","raw_affiliation_strings":["Department of Systems Informatics and Computers, Polytechnic School of Alcoi, Plaza Ferr\u00e0ndiz i Carbonell 2, 03801, Alcoi, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Informatics and Computers, Polytechnic School of Alcoi, Plaza Ferr\u00e0ndiz i Carbonell 2, 03801, Alcoi, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103821076","display_name":"David Cuesta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Cuesta","raw_affiliation_strings":["Department of Systems Informatics and Computers, Polytechnic School of Alcoi, Plaza Ferr\u00e0ndiz i Carbonell 2, 03801, Alcoi, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Informatics and Computers, Polytechnic School of Alcoi, Plaza Ferr\u00e0ndiz i Carbonell 2, 03801, Alcoi, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028350465","display_name":"Daniel Nov\u00e1k","orcid":"https://orcid.org/0000-0001-6996-9344"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Daniel Nov\u00e1k","raw_affiliation_strings":["Department of Cybernetics, Czech Technical University in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045984633"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.6636,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89722222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"947"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.983299970626831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7540134191513062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418712973594666},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5310580730438232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5186335444450378},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.4772208333015442},{"id":"https://openalex.org/keywords/ambulatory-ecg","display_name":"Ambulatory ECG","score":0.4559694826602936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.454990029335022},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4263143539428711},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4166103005409241},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19989413022994995},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.19194164872169495},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13545072078704834}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7540134191513062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418712973594666},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5310580730438232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5186335444450378},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.4772208333015442},{"id":"https://openalex.org/C2909021529","wikidata":"https://www.wikidata.org/wiki/Q11490631","display_name":"Ambulatory ECG","level":3,"score":0.4559694826602936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.454990029335022},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4263143539428711},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4166103005409241},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19989413022994995},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.19194164872169495},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13545072078704834}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-27868-9_103","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-27868-9_103","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-27868-9_103.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-27868-9_103","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-27868-9_103","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-27868-9_103.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2156837013.pdf","grobid_xml":"https://content.openalex.org/works/W2156837013.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1504285630","https://openalex.org/W2004581801","https://openalex.org/W2035868320","https://openalex.org/W2062024414","https://openalex.org/W2102540060","https://openalex.org/W2125838338","https://openalex.org/W2799061466","https://openalex.org/W3148718629","https://openalex.org/W4230946174","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2043365038","https://openalex.org/W1973419803","https://openalex.org/W2405476827","https://openalex.org/W4238210552","https://openalex.org/W2089562687","https://openalex.org/W972559249","https://openalex.org/W2024694723","https://openalex.org/W2314368217","https://openalex.org/W2418808189","https://openalex.org/W4244812386"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-09T06:09:20.037420","created_date":"2025-10-10T00:00:00"}
