{"id":"https://openalex.org/W4391889602","doi":"https://doi.org/10.1109/comsnets59351.2024.10427006","title":"Body Sensor-Based Multimodal Nurse Stress Detection Using Machine Learning","display_name":"Body Sensor-Based Multimodal Nurse Stress Detection Using Machine Learning","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4391889602","doi":"https://doi.org/10.1109/comsnets59351.2024.10427006"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets59351.2024.10427006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets59351.2024.10427006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","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/A5025799121","display_name":"Abhinav Mathur","orcid":"https://orcid.org/0000-0001-5669-9488"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhinav Mathur","raw_affiliation_strings":["Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057201779","display_name":"Shikha Shikha","orcid":"https://orcid.org/0009-0002-4443-2318"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikha","raw_affiliation_strings":["Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India","Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004181572","display_name":"Divyashikha Sethia","orcid":"https://orcid.org/0000-0002-8562-5530"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divyashikha Sethia","raw_affiliation_strings":["Delhi Technological University,Department of Software Engineering),New Delhi,India","Department of Software Engineering), Delhi Technological University, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,Department of Software Engineering),New Delhi,India","institution_ids":["https://openalex.org/I863896202"]},{"raw_affiliation_string":"Department of Software Engineering), Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025799121"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":4.2008,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9466461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9943000078201294,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9943000078201294,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9668999910354614,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/heart-rate-variability","display_name":"Heart rate variability","score":0.5670405626296997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5417507290840149},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5187199711799622},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5068152546882629},{"id":"https://openalex.org/keywords/physiological-stress","display_name":"Physiological stress","score":0.45457950234413147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42033863067626953},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3605427145957947},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2611514925956726},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.23420628905296326},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10835707187652588}],"concepts":[{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.5670405626296997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5417507290840149},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5187199711799622},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5068152546882629},{"id":"https://openalex.org/C2993577864","wikidata":"https://www.wikidata.org/wiki/Q123414","display_name":"Physiological stress","level":2,"score":0.45457950234413147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42033863067626953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3605427145957947},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2611514925956726},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.23420628905296326},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10835707187652588},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets59351.2024.10427006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets59351.2024.10427006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W321486980","https://openalex.org/W2098149468","https://openalex.org/W2522453581","https://openalex.org/W2792140820","https://openalex.org/W2914703899","https://openalex.org/W2929935816","https://openalex.org/W2937732310","https://openalex.org/W2958197594","https://openalex.org/W3011779818","https://openalex.org/W3114627553","https://openalex.org/W3193707194","https://openalex.org/W4289868886","https://openalex.org/W4311133761","https://openalex.org/W6755534092","https://openalex.org/W6760706080","https://openalex.org/W6799895551"],"related_works":["https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180","https://openalex.org/W2899156233","https://openalex.org/W4379967775","https://openalex.org/W3170167087","https://openalex.org/W2027819421","https://openalex.org/W2048445876","https://openalex.org/W2122744202","https://openalex.org/W4229067972"],"abstract_inverted_index":{"Stress":[0,40],"is":[1,48,157],"a":[2,32,45,87,135,165],"significant":[3],"concern":[4],"in":[5,35,38,44,75,83,197],"the":[6,27,56,66,121,128,150],"work-place,":[7],"as":[8,26],"it":[9],"contributes":[10],"to":[11,50,64,79,200],"80%":[12],"of":[13,59,68,91,139,169],"workplace":[14],"injuries,":[15],"and":[16,71,99,110,120,144,171,175,193],"medical":[17],"professionals":[18],"are":[19],"particularly":[20],"susceptible,":[21],"especially":[22],"during":[23],"emergencies":[24],"such":[25],"Covid-19":[28],"outbreak.":[29],"Nurses":[30],"play":[31],"crucial":[33],"role":[34],"providing":[36],"care":[37],"hospitals.":[39],"prediction":[41],"for":[42,116,141,173,191],"nurses":[43,192],"hospital":[46,198],"environment":[47],"essential":[49],"work":[51],"optimally":[52],"without":[53],"suffering":[54],"from":[55,104],"chronic":[57],"effects":[58],"stress.":[60],"This":[61],"paper":[62],"aims":[63],"investigate":[65],"application":[67],"body":[69],"sensors":[70],"machine":[72],"learning":[73],"algorithms":[74],"monitoring":[76],"physiological":[77,118,162],"indicators":[78],"detect":[80,189],"stress":[81,147,177,190],"levels":[82],"nurses.":[84,106],"It":[85],"uses":[86],"multimodal":[88,122,146,184],"sensor":[89],"dataset":[90],"Blood":[92],"Volume":[93],"Pulse":[94],"(BVP),":[95],"Electrodermal":[96],"Activity":[97],"(EDA),":[98],"Inter-Beat":[100],"Interval":[101],"(IBI)":[102],"signals":[103],"15":[105],"The":[107,180],"study":[108],"trains":[109],"evaluates":[111],"several":[112],"classification":[113],"models":[114,133],"separately":[115],"each":[117],"signal":[119],"data.":[123],"Performance":[124],"evaluation":[125],"reveals":[126],"that":[127,183],"decision":[129],"tree":[130],"outperforms":[131],"other":[132,161],"with":[134,164],"weighted":[136,166],"F1":[137,167],"score":[138,168],"0.99":[140],"both":[142],"2-level":[143,174],"3-level":[145,176],"classification.":[148],"Furthermore,":[149],"IBI-derived":[151],"Heart":[152],"Rate":[153],"Variability":[154],"(HRV)":[155],"features":[156],"more":[158],"promising":[159],"than":[160],"signals,":[163],"0.84":[170],"0.79":[172],"classification,":[178],"respectively.":[179],"findings":[181],"show":[182],"data":[185],"can":[186],"help":[187],"reliably":[188],"ensure":[194],"stress-free":[195],"working":[196],"environments":[199],"reduce":[201],"human":[202],"errors.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
