{"id":"https://openalex.org/W2892608065","doi":"https://doi.org/10.1109/icbea.2018.8471727","title":"Sleep Quality Analysis with Cardiopulmonary Coupling","display_name":"Sleep Quality Analysis with Cardiopulmonary Coupling","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2892608065","doi":"https://doi.org/10.1109/icbea.2018.8471727","mag":"2892608065"},"language":"en","primary_location":{"id":"doi:10.1109/icbea.2018.8471727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbea.2018.8471727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084954866","display_name":"F\u00e1bio Mendon\u00e7a","orcid":"https://orcid.org/0000-0002-5107-3248"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fabio Mendonca","raw_affiliation_strings":["Instituto Superior T\u00e9cnico Universidade de Lisboa Lisboa, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico Universidade de Lisboa Lisboa, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053338142","display_name":"Sheikh Shanawaz Mostafa","orcid":"https://orcid.org/0000-0002-7677-0971"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Sheikh Shanawaz Mostafa","raw_affiliation_strings":["Instituto Superior T\u00e9cnico Universidade de Lisboa Lisboa, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico Universidade de Lisboa Lisboa, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083968722","display_name":"Fernando Morgado\u2010Dias","orcid":"https://orcid.org/0000-0001-7334-3993"},"institutions":[{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando Morgado-Dias","raw_affiliation_strings":["Faculdade de Ci\u00e2ncias, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculdade de Ci\u00e2ncias, Portugal Madeira Interactive Technologies Institute, Funchal, Portugal","institution_ids":["https://openalex.org/I4387152454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046020340","display_name":"Antonio G. Ravelo\u2010Garc\u00eda","orcid":"https://orcid.org/0000-0002-8512-965X"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio G. Ravelo-Garcia","raw_affiliation_strings":["Institute for Technological Development and Innovation in Communications Universidad de Las Palmas de Gran Canaria Las Palmas de Gran, Canaria, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Technological Development and Innovation in Communications Universidad de Las Palmas de Gran Canaria Las Palmas de Gran, Canaria, Spain","institution_ids":["https://openalex.org/I119635470"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8681,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75594493,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9977999925613403,"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/T10985","display_name":"Sleep and Wakefulness Research","score":0.9975000023841858,"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/polysomnography","display_name":"Polysomnography","score":0.8242983222007751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.581440269947052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531017005443573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5157380700111389},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.4869283437728882},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.42180415987968445},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37402498722076416},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.3037499785423279},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25072354078292847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23097077012062073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22074741125106812},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15088331699371338},{"id":"https://openalex.org/keywords/apnea","display_name":"Apnea","score":0.10988500714302063}],"concepts":[{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.8242983222007751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.581440269947052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531017005443573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5157380700111389},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.4869283437728882},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.42180415987968445},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37402498722076416},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.3037499785423279},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25072354078292847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23097077012062073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22074741125106812},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15088331699371338},{"id":"https://openalex.org/C2781326671","wikidata":"https://www.wikidata.org/wiki/Q754424","display_name":"Apnea","level":2,"score":0.10988500714302063},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icbea.2018.8471727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbea.2018.8471727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Biomedical Engineering and Applications (ICBEA)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://accedacris.ulpgc.es:10553/52449","is_oa":false,"landing_page_url":"http://hdl.handle.net/10553/52449","pdf_url":null,"source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119635470","host_organization_name":"Universidad de Las Palmas de Gran Canaria","host_organization_lineage":["https://openalex.org/I119635470"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 International Conference on Biomedical Engineering Applications, ICBEA 2018 - Proceedings (8471727)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316436","display_name":"Ag\u00eancia Regional para o Desenvolvimento da Investiga\u00e7\u00e3o, Tecnologia e Inova\u00e7\u00e3o","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W17452181","https://openalex.org/W1495579528","https://openalex.org/W1503398984","https://openalex.org/W1576380219","https://openalex.org/W1638975642","https://openalex.org/W1969096375","https://openalex.org/W1975128774","https://openalex.org/W1995061049","https://openalex.org/W2023297898","https://openalex.org/W2024919601","https://openalex.org/W2027737698","https://openalex.org/W2045228565","https://openalex.org/W2055731784","https://openalex.org/W2062439387","https://openalex.org/W2075658120","https://openalex.org/W2082749222","https://openalex.org/W2101709445","https://openalex.org/W2117296910","https://openalex.org/W2146016003","https://openalex.org/W2151487996","https://openalex.org/W2161068347","https://openalex.org/W2162273778","https://openalex.org/W2163166459","https://openalex.org/W2170430480","https://openalex.org/W2484096010","https://openalex.org/W2793954497","https://openalex.org/W4230946174"],"related_works":["https://openalex.org/W2149145101","https://openalex.org/W2946788172","https://openalex.org/W112050585","https://openalex.org/W2314914269","https://openalex.org/W3082889039","https://openalex.org/W2376105158","https://openalex.org/W2739867511","https://openalex.org/W2889272531","https://openalex.org/W2508346598","https://openalex.org/W3044179424"],"abstract_inverted_index":{"Sleep":[0],"quality":[1,268],"is":[2,23,46,56,71,77],"commonly":[3],"assessed":[4],"with":[5,155],"subject":[6],"self-reporting,":[7],"interviews":[8],"and":[9,30,52,146,174,244,251],"psychological":[10],"variables.":[11],"However,":[12,44],"more":[13],"precise":[14],"methods":[15],"comprise":[16],"estimation":[17],"of":[18,62,68,118,132,192,249,262],"physiological":[19],"signals":[20],"where":[21],"polysomnography":[22,45,120],"considered":[24],"to":[25,34,48,58,72,79,127,164,167,187],"be":[26,32,49,92,112],"the":[27,41,63,116,129,152,156,169,196,233,241,245,263],"gold":[28],"standard":[29],"can":[31,91,111],"performed":[33],"produce":[35,73],"qualitative":[36,190],"or":[37,100,122,271],"quantitative":[38],"measurements":[39],"regarding":[40,265],"subjects":[42,205],"sleep.":[43],"known":[47],"a":[50,59,87,95,101,108,119,124,165,189,213,223],"complex":[51],"expensive":[53],"process":[54],"that":[55,76,90,110],"inaccessible":[57],"large":[60],"group":[61],"population.":[64],"The":[65,135,209],"main":[66],"objective":[67],"this":[69],"work":[70],"an":[74],"algorithm":[75],"capable":[78],"ascertain":[80],"sleep":[81,193,218,267],"quality,":[82,194],"using":[83],"only":[84],"data":[85],"from":[86],"single-lead":[88],"electrocardiogram,":[89],"implemented":[93],"in":[94,203],"small":[96,102],"digital":[97],"signal":[98],"processor":[99],"field-programmable":[103],"gate":[104],"array.":[105],"Therefore,":[106],"providing":[107],"tool":[109],"used":[113],"for":[114],"identifying":[115],"need":[117],"analysis":[121],"as":[123,206],"complementary":[125],"method":[126,137,211],"improve":[128],"detection":[130,228],"capability":[131,229],"other":[133],"pathologies.":[134],"employed":[136,210],"first":[138],"determined":[139],"both":[140],"normal-to-normal":[141],"sinus":[142],"interbeat":[143],"interval":[144],"series":[145],"electrocardiogram":[147],"derived":[148],"respiration":[149],"signal,":[150],"producing":[151],"cardiopulmonary":[153],"coupling":[154],"cross-spectral":[157],"coherence":[158],"method.":[159],"This":[160],"information":[161],"was":[162,184,257],"fed":[163],"classifier":[166],"determine":[168],"non-rapid":[170,215],"eye":[171,216],"movement":[172,217],"(non-REM)":[173],"cyclic":[175,198,225,253],"alternating":[176,181,199,226,254],"pattern":[177,182,200,227,255],"(CAP)":[178],"periods.":[179],"Cyclic":[180],"rate":[183,201,256],"then":[185],"computed":[186],"provide":[188],"measure":[191],"considering":[195],"age-related":[197],"percentages":[202],"healthy":[204],"reference":[207],"threshold.":[208],"provided":[212],"reasonable":[214],"classification":[219],"(70%":[220],"accuracy)":[221],"but":[222],"poor":[224],"(62%":[230],"accuracy).":[231],"From":[232],"ten":[234],"tested":[235],"classifiers":[236],"deep":[237],"stacked":[238],"autoencoder":[239],"produced":[240],"best":[242],"results":[243],"average":[246],"absolute":[247],"difference":[248],"predicted":[250],"true":[252],"15%,":[258],"classifying":[259],"correctly":[260],"67%":[261],"subjects,":[264],"their":[266],"(either":[269],"good":[270],"bad).":[272]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}