{"id":"https://openalex.org/W2160079395","doi":"https://doi.org/10.1109/titb.2012.2214395","title":"Irregular Breathing Classification From Multiple Patient Datasets Using Neural Networks","display_name":"Irregular Breathing Classification From Multiple Patient Datasets Using Neural Networks","publication_year":2012,"publication_date":"2012-08-21","ids":{"openalex":"https://openalex.org/W2160079395","doi":"https://doi.org/10.1109/titb.2012.2214395","mag":"2160079395"},"language":"en","primary_location":{"id":"doi:10.1109/titb.2012.2214395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2012.2214395","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-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/A5028610882","display_name":"Suk Jin Lee","orcid":"https://orcid.org/0000-0002-3285-0806"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suk Jin Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061499121","display_name":"Yuichi Motai","orcid":"https://orcid.org/0000-0002-1957-1896"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Motai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103053731","display_name":"Elisabeth Weiss","orcid":"https://orcid.org/0000-0003-1519-3768"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Weiss","raw_affiliation_strings":["Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102019997","display_name":"Shumei S. Sun","orcid":"https://orcid.org/0000-0003-2945-4762"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. S. Sun","raw_affiliation_strings":["Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA","institution_ids":["https://openalex.org/I184840846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028610882"],"corresponding_institution_ids":["https://openalex.org/I184840846"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.1610936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"6","first_page":"1253","last_page":"1264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9961000084877014,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/artificial-neural-network","display_name":"Artificial neural network","score":0.630681574344635},{"id":"https://openalex.org/keywords/breathing","display_name":"Breathing","score":0.5943664312362671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5420590043067932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4671793580055237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37186211347579956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32375311851501465},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20648419857025146}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.630681574344635},{"id":"https://openalex.org/C39300077","wikidata":"https://www.wikidata.org/wiki/Q9530","display_name":"Breathing","level":2,"score":0.5943664312362671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5420590043067932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4671793580055237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37186211347579956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32375311851501465},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20648419857025146},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/titb.2012.2214395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2012.2214395","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-article"},{"id":"mag:22922728","is_oa":false,"landing_page_url":"https://dialnet.unirioja.es/servlet/articulo?codigo=204550","pdf_url":null,"source":{"id":"https://openalex.org/S4306522231","display_name":"P\u00e9ndulo del milenio","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"P\u00e9ndulo del milenio","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1966489199","https://openalex.org/W1968316067","https://openalex.org/W1969046678","https://openalex.org/W1970748944","https://openalex.org/W1982013207","https://openalex.org/W1991301669","https://openalex.org/W1999664561","https://openalex.org/W2009435671","https://openalex.org/W2012873245","https://openalex.org/W2024878110","https://openalex.org/W2031512758","https://openalex.org/W2065667902","https://openalex.org/W2068308395","https://openalex.org/W2082499665","https://openalex.org/W2090680457","https://openalex.org/W2099366425","https://openalex.org/W2100918609","https://openalex.org/W2102244548","https://openalex.org/W2103308415","https://openalex.org/W2107265013","https://openalex.org/W2114899278","https://openalex.org/W2118291747","https://openalex.org/W2122646361","https://openalex.org/W2123350533","https://openalex.org/W2124369546","https://openalex.org/W2127480863","https://openalex.org/W2131325511","https://openalex.org/W2132300419","https://openalex.org/W2137814074","https://openalex.org/W2140282169","https://openalex.org/W2140500402","https://openalex.org/W2143058286","https://openalex.org/W2145504051","https://openalex.org/W2147883637","https://openalex.org/W2150458683","https://openalex.org/W2158698691","https://openalex.org/W2162084438","https://openalex.org/W2162168554","https://openalex.org/W2167859135","https://openalex.org/W2170508447","https://openalex.org/W2205024319","https://openalex.org/W2799061466","https://openalex.org/W4230946174","https://openalex.org/W6671141428","https://openalex.org/W6688248609"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Complicated":[0],"breathing":[1,26,41,52,65,93,118,137,142,155,170,181,187],"behaviors":[2],"including":[3],"uncertain":[4],"and":[5,38,162],"irregular":[6,25,92,117,141,169,186],"patterns":[7,27,104,119,156,182],"can":[8,82,127],"affect":[9],"the":[10,59,77,87,124,132,153,167,184],"accuracy":[11],"of":[12,34,67,72,91,166,178],"predicting":[13],"respiratory":[14,32],"motion":[15,94],"for":[16,86,135],"precise":[17],"radiation":[18],"dose":[19],"delivery.":[20],"So":[21],"far":[22],"investigations":[23],"on":[24,44,58,96],"have":[28],"been":[29],"limited":[30],"to":[31,115,130,148],"monitoring":[33],"only":[35],"extreme":[36],"inspiration":[37],"expiration.":[39],"Using":[40],"traces":[42],"acquired":[43],"a":[45,97,112,145],"Cyberknife":[46],"treatment":[47],"facility,":[48],"we":[49],"retrospectively":[50],"categorized":[51],"data":[53,66],"into":[54],"several":[55],"classes":[56],"based":[57,95],"extracted":[60],"feature":[61],"metrics":[62],"derived":[63],"from":[64],"multiple":[68],"patients.":[69],"The":[70,139,159,175],"novelty":[71],"this":[73],"paper":[74],"is":[75],"that":[76],"classifier":[78],"using":[79,120],"neural":[80,121],"networks":[81],"provide":[83],"clinical":[84],"merit":[85],"statistical":[88],"quantitative":[89],"modeling":[90],"regular":[98,146],"ratio":[99,147],"representing":[100],"how":[101],"many":[102],"regular/irregular":[103],"exist":[105],"within":[106],"an":[107],"observation":[108],"period.":[109],"We":[110],"propose":[111],"new":[113],"approach":[114],"detect":[116],"networks,":[122],"where":[123],"reconstruction":[125],"error":[126],"be":[128],"used":[129,144],"build":[131],"distribution":[133],"model":[134],"each":[136],"class.":[138],"proposed":[140,168,185],"classification":[143],"decide":[149],"whether":[150],"or":[151],"not":[152],"current":[154],"were":[157],"regular.":[158],"sensitivity,":[160],"specificity,":[161],"receiver":[163],"operating":[164],"characteristiccurve":[165],"pattern":[171],"detector":[172],"was":[173],"analyzed.":[174],"experimental":[176],"results":[177],"448":[179],"patients'":[180],"validated":[183],"classifier.":[188]},"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":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}