{"id":"https://openalex.org/W4406997674","doi":"https://doi.org/10.3390/computers14020045","title":"Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach","display_name":"Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach","publication_year":2025,"publication_date":"2025-01-30","ids":{"openalex":"https://openalex.org/W4406997674","doi":"https://doi.org/10.3390/computers14020045"},"language":"en","primary_location":{"id":"doi:10.3390/computers14020045","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14020045","pdf_url":"https://www.mdpi.com/2073-431X/14/2/45/pdf?version=1738226135","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/14/2/45/pdf?version=1738226135","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093433847","display_name":"Ines Belhaj Messaoud","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ines Belhaj Messaoud","raw_affiliation_strings":["Department of Software and Information Technology Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C 1K3, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Software and Information Technology Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C 1K3, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031659830","display_name":"Ornwipa Thamsuwan","orcid":"https://orcid.org/0000-0002-0549-536X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ornwipa Thamsuwan","raw_affiliation_strings":["Department of Mechanical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C 1K3, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, \u00c9cole de Technologie Sup\u00e9rieure, Montreal, QC H3C 1K3, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031659830"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":3.3754,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91068964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"45","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9607999920845032,"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":0.9607999920845032,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4471035897731781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3803313672542572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3494386374950409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34581732749938965}],"concepts":[{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4471035897731781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3803313672542572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3494386374950409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34581732749938965},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":3,"locations":[{"id":"doi:10.3390/computers14020045","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14020045","pdf_url":"https://www.mdpi.com/2073-431X/14/2/45/pdf?version=1738226135","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5bea493f97bb4db49e14b52c3c12e111","is_oa":true,"landing_page_url":"https://doaj.org/article/5bea493f97bb4db49e14b52c3c12e111","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 14, Iss 2, p 45 (2025)","raw_type":"article"},{"id":"pmh:oai:espace2.etsmtl.ca:30653","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Non \u00e9valu\u00e9 par les pairs"}],"best_oa_location":{"id":"doi:10.3390/computers14020045","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14020045","pdf_url":"https://www.mdpi.com/2073-431X/14/2/45/pdf?version=1738226135","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4876081805","display_name":null,"funder_award_id":"RGPIN-2022-0327","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7046072191","display_name":null,"funder_award_id":"None","funder_id":"https://openalex.org/F4320313977","funder_display_name":"\u00c9cole de technologie sup\u00e9rieure"}],"funders":[{"id":"https://openalex.org/F4320313977","display_name":"\u00c9cole de technologie sup\u00e9rieure","ror":"https://ror.org/0020snb74"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406997674.pdf","grobid_xml":"https://content.openalex.org/works/W4406997674.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W68535038","https://openalex.org/W182856779","https://openalex.org/W1500114459","https://openalex.org/W1591328957","https://openalex.org/W1972304037","https://openalex.org/W2024677560","https://openalex.org/W2039245919","https://openalex.org/W2108707239","https://openalex.org/W2121647405","https://openalex.org/W2122464624","https://openalex.org/W2127412413","https://openalex.org/W2128242332","https://openalex.org/W2133589238","https://openalex.org/W2149612743","https://openalex.org/W2343665820","https://openalex.org/W2417208185","https://openalex.org/W2612954804","https://openalex.org/W2745749724","https://openalex.org/W2759190050","https://openalex.org/W2809857369","https://openalex.org/W2899356257","https://openalex.org/W2916473259","https://openalex.org/W2980693119","https://openalex.org/W2987201163","https://openalex.org/W2997412243","https://openalex.org/W3020872732","https://openalex.org/W3034154128","https://openalex.org/W3045518508","https://openalex.org/W3081533757","https://openalex.org/W3127764261","https://openalex.org/W3154610942","https://openalex.org/W3157706564","https://openalex.org/W3175075208","https://openalex.org/W3195539947","https://openalex.org/W4244620753","https://openalex.org/W4249610805","https://openalex.org/W4293715556","https://openalex.org/W4313259663","https://openalex.org/W4360764526","https://openalex.org/W4386366158","https://openalex.org/W4388738202","https://openalex.org/W4394894573","https://openalex.org/W6633329526","https://openalex.org/W6675354045","https://openalex.org/W6809785604","https://openalex.org/W7008420044"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Impaired":[0],"balance":[1,52],"and":[2,23,51,69,96,116,176,192,202],"mental":[3],"stress":[4,50,132,201],"are":[5],"significant":[6],"health":[7],"concerns,":[8],"particularly":[9],"among":[10,29],"older":[11,231],"adults.":[12,232],"This":[13,35,181],"study":[14,182],"investigated":[15],"the":[16,19,39,42,88,112,117,135,139,144,165,184,188,213],"relationship":[17],"between":[18,124],"heart":[20,43,66,189],"rate":[21,44,67,190],"variability":[22,45,191],"fall":[24,156,203,224],"risk":[25,157],"during":[26],"daily":[27],"activities":[28,74],"individuals":[30],"over":[31],"40":[32],"years":[33],"old.":[34],"aimed":[36],"to":[37,87,195,216],"explore":[38],"potential":[40,208],"of":[41,49,77,80,121,170,174,179,186,210],"as":[46,75,111],"an":[47,78,168],"indicator":[48],"loss.":[53],"Data":[54],"were":[55],"collected":[56,89],"from":[57,143],"14":[58],"healthy":[59],"participants":[60],"who":[61],"wore":[62],"a":[63,172,177],"Polar":[64],"H10":[65],"monitor":[68,196],"performed":[70,164],"Berg":[71],"Balance":[72],"Scale":[73],"part":[76],"assessment":[79],"functional":[81],"balance.":[82],"Machine":[83],"learning":[84,153,194],"techniques":[85],"applied":[86],"data":[90],"included":[91],"two":[92],"phases:":[93],"unsupervised":[94],"clustering":[95,100],"supervised":[97],"classification.":[98],"K-means":[99],"identified":[101],"three":[102],"distinct":[103],"physiological":[104,197],"states":[105],"based":[106],"on":[107],"HRV":[108,149],"features,":[109],"such":[110],"high-frequency":[113],"band":[114],"power":[115],"root":[118],"mean":[119],"square":[120],"successive":[122],"differences":[123],"normal":[125],"heartbeats,":[126],"suggesting":[127],"patterns":[128],"that":[129,161,221],"may":[130],"reflect":[131],"levels.":[133],"In":[134],"second":[136],"phase,":[137],"integrating":[138],"cluster":[140],"labels":[141],"obtained":[142],"first":[145],"phase":[146],"together":[147],"with":[148,200],"features":[150],"into":[151],"machine":[152,193],"models":[154],"for":[155,230],"classification,":[158],"we":[159],"found":[160],"Gradient":[162],"Boosting":[163],"best,":[166],"achieving":[167],"accuracy":[169],"95.45%,":[171],"precision":[173],"93.10%":[175],"recall":[178],"85.71%.":[180],"demonstrates":[183],"feasibility":[185],"using":[187],"responses":[198],"associated":[199],"risks.":[204],"By":[205],"highlighting":[206],"this":[207],"biomarker":[209],"autonomic":[211],"health,":[212],"findings":[214],"contribute":[215],"developing":[217],"real-time":[218],"monitoring":[219],"systems":[220],"could":[222],"support":[223],"prevention":[225],"efforts":[226],"in":[227],"everyday":[228],"settings":[229]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
