{"id":"https://openalex.org/W4388674373","doi":"https://doi.org/10.1109/bhi58575.2023.10313401","title":"Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning","display_name":"Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4388674373","doi":"https://doi.org/10.1109/bhi58575.2023.10313401"},"language":"en","primary_location":{"id":"doi:10.1109/bhi58575.2023.10313401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5092066936","display_name":"Linda Vorberg","orcid":"https://orcid.org/0009-0001-9802-4419"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linda Vorberg","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093262275","display_name":"Siri Pflueger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siri Pflueger","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035430335","display_name":"Robert Richer","orcid":"https://orcid.org/0000-0003-0272-5403"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Richer","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113408624","display_name":"Katharina M. Jaeger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katharina M. Jaeger","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029602911","display_name":"Arne K\u00fcderle","orcid":"https://orcid.org/0000-0002-5686-281X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arne K\u00fcderle","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032583018","display_name":"Nicolas Rohleder","orcid":"https://orcid.org/0000-0003-2602-517X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolas Rohleder","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Chair of Health Psychology,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Chair of Health Psychology,Erlangen,Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014144494","display_name":"Bjoern M. Eskofier","orcid":"https://orcid.org/0000-0002-0417-0336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bjoern M. Eskofier","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral 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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9986000061035156,"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/T13283","display_name":"Mental Health Research Topics","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.7313159704208374},{"id":"https://openalex.org/keywords/coping","display_name":"Coping (psychology)","score":0.6939541697502136},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.6122084856033325},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43817374110221863},{"id":"https://openalex.org/keywords/stepwise-regression","display_name":"Stepwise regression","score":0.43784910440444946},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.43641233444213867},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.3737555146217346},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.35037583112716675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3059079051017761},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30108946561813354},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2843904495239258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23719576001167297},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.12100112438201904}],"concepts":[{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.7313159704208374},{"id":"https://openalex.org/C73282008","wikidata":"https://www.wikidata.org/wiki/Q1759895","display_name":"Coping (psychology)","level":2,"score":0.6939541697502136},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.6122084856033325},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43817374110221863},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.43784910440444946},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.43641233444213867},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.3737555146217346},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.35037583112716675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3059079051017761},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30108946561813354},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2843904495239258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23719576001167297},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.12100112438201904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi58575.2023.10313401","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1754058279","https://openalex.org/W1987650886","https://openalex.org/W1988321620","https://openalex.org/W2027576445","https://openalex.org/W2035863630","https://openalex.org/W2036775162","https://openalex.org/W2071271451","https://openalex.org/W2114250738","https://openalex.org/W2143364563","https://openalex.org/W2156579478","https://openalex.org/W2640999390","https://openalex.org/W2954687873","https://openalex.org/W2997591727","https://openalex.org/W3033191763","https://openalex.org/W3127637041","https://openalex.org/W4200044720","https://openalex.org/W4251579429","https://openalex.org/W4321764183"],"related_works":["https://openalex.org/W2350563281","https://openalex.org/W2357833734","https://openalex.org/W2371761458","https://openalex.org/W2356236133","https://openalex.org/W3215700490","https://openalex.org/W3198111542","https://openalex.org/W2371009016","https://openalex.org/W2366741315","https://openalex.org/W2093514813","https://openalex.org/W3128826735"],"abstract_inverted_index":{"Stress":[0,127],"is":[1,24,38],"related":[2],"to":[3,141,157],"short-":[4],"and":[5,16,67,91,106,112,115,147,150,163,215,234,251,258],"long-term":[6],"alterations":[7],"in":[8,121],"stress":[9,28,44,52,61,78,148,168,248,262],"systems,":[10],"including":[11],"the":[12,17,31,47,65,87,107,122,143,188,235],"hypothalamic-pituitary-adrenal":[13],"(HPA)":[14],"axis":[15],"sympathetic":[18],"nervous":[19],"system":[20],"(SNS).":[21],"While":[22],"it":[23,42],"well":[25],"established":[26],"that":[27,51,68,83,175],"experienced":[29],"during":[30,46,80,104,187],"day":[32],"can":[33,55],"affect":[34],"sleep":[35,105,250],"quality,":[36],"less":[37],"known":[39],"about":[40,246],"how":[41,60,247],"affects":[43],"systems":[45,79],"night.":[48],"We":[49,134],"assume":[50],"coping":[53,72,128,149,169,239],"strategies":[54],"have":[56],"an":[57,220,229],"impact":[58],"on":[59,100,260],"carries":[62],"over":[63],"into":[64],"night":[66],"individuals":[69,176],"with":[70,177,205,219,240],"bad":[71],"mechanisms":[73],"show":[74,174],"elevated":[75],"activation":[76],"of":[77,96,211,222,238],"sleep.":[81],"For":[82],"reason,":[84],"we":[85],"recorded":[86],"heart":[88,92],"rate":[89,93],"(HR)":[90],"variability":[94],"(HRV)":[95],"21":[97],"healthy":[98],"participants":[99],"two":[101],"consecutive":[102],"nights":[103],"first":[108,123],"hour":[109,124],"after":[110,125],"awakening":[111],"extracted":[113],"cortisol":[114],"alpha-amylase":[116],"from":[117],"saliva":[118],"samples":[119],"collected":[120],"awakening.":[126],"capabilities":[129],"were":[130],"assessed":[131],"using":[132],"self-reports.":[133],"performed":[135],"backward":[136],"stepwise":[137],"multiple":[138],"regression":[139,155],"models":[140],"analyze":[142],"relationship":[144],"between":[145,231],"HR(V)":[146,233],"trained":[151],"different":[152],"machine":[153],"learning-based":[154],"algorithms":[156],"predict":[158],"positive":[159],"(SVF<inf":[160,165],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[161,166,180,193,201,217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Pos</inf>)":[162],"negative":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Neg</inf>)":[167],"capabilities,":[170],"respectively.":[171],"Our":[172,226],"results":[173],"higher":[178,184,191],"SVF<inf":[179,192,200,216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Neg</inf>":[181,218],"scores":[182,195],"showed":[183],"SNS":[185,198],"activity":[186],"night,":[189],"whereas":[190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Pos</inf>":[194,202],"indicated":[196],"lower":[197],"activity.":[199],"was":[203],"predicted":[204],"a":[206],"mean":[207],"absolute":[208],"error":[209],"(MAE)":[210],"1.51":[212],"\u00b1":[213,224],"0.73":[214],"MAE":[221],"2.79":[223],"1.53.":[225],"findings":[227],"indicate":[228],"association":[230],"nightly":[232],"individual\u2019s":[236],"capability":[237],"stress.":[241],"This":[242],"provides":[243],"further":[244],"information":[245],"influences":[249],"might":[252],"be":[253],"used":[254],"for":[255],"tailored":[256],"intervention":[257],"feedback":[259],"successful":[261],"coping.":[263]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
