{"id":"https://openalex.org/W4238682785","doi":"https://doi.org/10.1109/icpr.2004.1334638","title":"Morphology analysis of physiological signals using hidden Markov models","display_name":"Morphology analysis of physiological signals using hidden Markov models","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4238682785","doi":"https://doi.org/10.1109/icpr.2004.1334638"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334638","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/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":true,"raw_author_name":"D. Novak","raw_affiliation_strings":["Dept. of Cybernetics, Czech Tech. Univ., Prague, Czech Republic","Department of Cybernetics, Czech Technical University in Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Cybernetics, Czech Tech. Univ., Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082158862","display_name":"Lenka Lhotsk\u00e1","orcid":"https://orcid.org/0000-0003-0742-5645"},"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":"L. Lhotska","raw_affiliation_strings":["Dept. of Cybernetics, Czech Tech. Univ., Prague, Czech Republic","Department of Cybernetics, Czech Technical University in Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Cybernetics, Czech Tech. Univ., Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Cybernetics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070686427","display_name":"Tarik Al-ani","orcid":"https://orcid.org/0000-0003-0987-8082"},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I103562704","display_name":"ESI Group (France)","ror":"https://ror.org/05ww4z228","country_code":"FR","type":"company","lineage":["https://openalex.org/I103562704"]},{"id":"https://openalex.org/I12187552","display_name":"UniLaSalle Amiens (ESIEE-Amiens)","ror":"https://ror.org/03r13py57","country_code":"FR","type":"education","lineage":["https://openalex.org/I12187552"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"T. Al-Ani","raw_affiliation_strings":["Group ESIEE-Paris, A2SI Laboratory, Paris, France"],"affiliations":[{"raw_affiliation_string":"Group ESIEE-Paris, A2SI Laboratory, Paris, France","institution_ids":["https://openalex.org/I103562704","https://openalex.org/I12187552","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016722145","display_name":"Y. Hamam","orcid":null},"institutions":[{"id":"https://openalex.org/I103562704","display_name":"ESI Group (France)","ror":"https://ror.org/05ww4z228","country_code":"FR","type":"company","lineage":["https://openalex.org/I103562704"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I12187552","display_name":"UniLaSalle Amiens (ESIEE-Amiens)","ror":"https://ror.org/03r13py57","country_code":"FR","type":"education","lineage":["https://openalex.org/I12187552"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Y. Hamam","raw_affiliation_strings":["Group ESIEE-Paris, A2SI Laboratory, Paris, France"],"affiliations":[{"raw_affiliation_string":"Group ESIEE-Paris, A2SI Laboratory, Paris, France","institution_ids":["https://openalex.org/I103562704","https://openalex.org/I12187552","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083596385","display_name":"David Cuesta\u2013Frau","orcid":"https://orcid.org/0000-0002-0076-0515"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"D. Cuesta-Frau","raw_affiliation_strings":["Department of Computer Science, Polytechnic University of Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Polytechnic University of Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045984633","display_name":"Pau Mic\u00f3 Tormos","orcid":"https://orcid.org/0000-0002-8089-8329"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Mico","raw_affiliation_strings":["Department of Computer Science, Polytechnic University of Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Polytechnic University of Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067108150","display_name":"Mateo Aboy","orcid":"https://orcid.org/0000-0002-5168-4321"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Aboy","raw_affiliation_strings":["Biomedical Signal Processing Laboratory, Portland State University, USA"],"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing Laboratory, Portland State University, USA","institution_ids":["https://openalex.org/I126345244","https://openalex.org/I4210121626"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028350465"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76923077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"101","issue":null,"first_page":"754","last_page":"757 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8833944797515869},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.800468921661377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6770302057266235},{"id":"https://openalex.org/keywords/adaptive-simulated-annealing","display_name":"Adaptive simulated annealing","score":0.6079409718513489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5973057746887207},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5713450908660889},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4937923848628998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47277382016181946},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4654819369316101},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.46148577332496643},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46074143052101135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2158496081829071},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19974485039710999},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.11363452672958374},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07822850346565247}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8833944797515869},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.800468921661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6770302057266235},{"id":"https://openalex.org/C46714192","wikidata":"https://www.wikidata.org/wiki/Q4680763","display_name":"Adaptive simulated annealing","level":3,"score":0.6079409718513489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5973057746887207},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5713450908660889},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4937923848628998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47277382016181946},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4654819369316101},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.46148577332496643},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46074143052101135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2158496081829071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19974485039710999},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.11363452672958374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07822850346565247}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334638","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.134.3337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.esiee.fr/~alanit/231.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2102283184","https://openalex.org/W2117853077","https://openalex.org/W2125838338","https://openalex.org/W2132875213","https://openalex.org/W2140870987","https://openalex.org/W2162800060","https://openalex.org/W2345893807","https://openalex.org/W6679651670"],"related_works":["https://openalex.org/W2077092686","https://openalex.org/W2261837478","https://openalex.org/W3007136692","https://openalex.org/W1967687468","https://openalex.org/W2002077985","https://openalex.org/W2089397391","https://openalex.org/W173512906","https://openalex.org/W2382432451","https://openalex.org/W2394090522","https://openalex.org/W2979021254"],"abstract_inverted_index":{"We":[0,62],"describe":[1],"a":[2,52],"clustering":[3],"algorithm":[4,28,49],"based":[5,23,35],"on":[6,24,36],"continuous":[7],"hidden":[8],"Markov":[9],"models":[10],"(HMM)":[11],"to":[12,40],"automatically":[13],"classify":[14],"both":[15],"electrocardiogram":[16],"(ECG)":[17],"and":[18,31],"intracranial":[19],"pressure":[20],"(ICP)":[21],"beats":[22],"their":[25],"morphology.":[26,37],"The":[27],"detects,":[29],"classifies":[30],"labels":[32],"each":[33],"beat":[34],"In":[38],"order":[39],"avoid":[41],"the":[42],"numerical":[43],"problems":[44],"with":[45],"classical":[46],"expectation-maximization":[47],"(EM)":[48],"we":[50],"apply":[51],"novel":[53],"method":[54],"of":[55],"simulated":[56,70],"annealing":[57,71],"(SIM)":[58],"for":[59],"HMM":[60],"optimization.":[61],"show":[63],"that":[64],"better":[65],"results":[66],"are":[67],"achieved":[68],"using":[69],"approach.":[72]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
