{"id":"https://openalex.org/W4200577442","doi":"https://doi.org/10.3390/s21248293","title":"Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach","display_name":"Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach","publication_year":2021,"publication_date":"2021-12-11","ids":{"openalex":"https://openalex.org/W4200577442","doi":"https://doi.org/10.3390/s21248293","pmid":"https://pubmed.ncbi.nlm.nih.gov/34960385"},"language":"en","primary_location":{"id":"doi:10.3390/s21248293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248293","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8293/pdf?version=1639821963","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/24/8293/pdf?version=1639821963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038764466","display_name":"Ramon E. Diaz-Ramos","orcid":"https://orcid.org/0000-0001-7324-7205"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ramon E. Diaz-Ramos","raw_affiliation_strings":["Department of Computer Science, School of Engineering and Sciences, Campus Monterrey, Tecnologico de Monterrey, Monterrey 64849, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-7324-7205","affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Engineering and Sciences, Campus Monterrey, Tecnologico de Monterrey, Monterrey 64849, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042270782","display_name":"Daniela A. Gomez-Cravioto","orcid":"https://orcid.org/0000-0001-9286-9480"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Daniela A. Gomez-Cravioto","raw_affiliation_strings":["Department of Computer Science, School of Engineering and Sciences, Campus Monterrey, Tecnologico de Monterrey, Monterrey 64849, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-9286-9480","affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Engineering and Sciences, Campus Monterrey, Tecnologico de Monterrey, Monterrey 64849, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011568579","display_name":"Luis A. Trejo","orcid":"https://orcid.org/0000-0001-9741-4581"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Luis A. Trejo","raw_affiliation_strings":["Department of Computer Science, School of Engineering and Sciences, Campus Estado de M\u00e9xico, Tecnologico de Monterrey, Atizap\u00e1n 52926, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-9741-4581","affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Engineering and Sciences, Campus Estado de M\u00e9xico, Tecnologico de Monterrey, Atizap\u00e1n 52926, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006881399","display_name":"Carlos Figueroa","orcid":"https://orcid.org/0000-0002-1565-7625"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos Figueroa L\u00f3pez","raw_affiliation_strings":["Department of Psychology, School of Health, Campus Ciudad de M\u00e9xico, Tecnologico de Monterrey, Ciudad de M\u00e9xico 14380, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-1565-7625","affiliations":[{"raw_affiliation_string":"Department of Psychology, School of Health, Campus Ciudad de M\u00e9xico, Tecnologico de Monterrey, Ciudad de M\u00e9xico 14380, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084352657","display_name":"Miguel Angel Medina\u2010P\u00e9rez","orcid":"https://orcid.org/0000-0003-4511-2252"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Miguel Angel Medina-P\u00e9rez","raw_affiliation_strings":["Altair Management Consultants, Calle de Jos\u00e9 Ortega y Gasset 22-24, 5th Floor, 28006 Madrid, Spain","Department of Computer Science, School of Engineering and Sciences, Campus Estado de M\u00e9xico, Tecnologico de Monterrey, Atizap\u00e1n 52926, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-4511-2252","affiliations":[{"raw_affiliation_string":"Altair Management Consultants, Calle de Jos\u00e9 Ortega y Gasset 22-24, 5th Floor, 28006 Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, School of Engineering and Sciences, Campus Estado de M\u00e9xico, Tecnologico de Monterrey, Atizap\u00e1n 52926, Mexico","institution_ids":["https://openalex.org/I98461037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011568579"],"corresponding_institution_ids":["https://openalex.org/I98461037"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.9992,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7824452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"24","first_page":"8293","last_page":"8293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11761","display_name":"Resilience and Mental Health","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T11761","display_name":"Resilience and Mental Health","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T11282","display_name":"Fibromyalgia and Chronic Fatigue Syndrome Research","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T10809","display_name":"Occupational Health and Safety Research","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8845609426498413},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5860171914100647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4982421398162842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4943671226501465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4919705092906952},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4783484637737274},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4349592924118042},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4228299856185913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42152276635169983},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4143768846988678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556520640850067},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32364749908447266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32267439365386963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20827940106391907}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8845609426498413},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5860171914100647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4982421398162842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4943671226501465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4919705092906952},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4783484637737274},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4349592924118042},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4228299856185913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42152276635169983},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4143768846988678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556520640850067},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32364749908447266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32267439365386963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20827940106391907},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001676","descriptor_name":"Biofeedback, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001676","descriptor_name":"Biofeedback, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001676","descriptor_name":"Biofeedback, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21248293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248293","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8293/pdf?version=1639821963","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34960385","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34960385","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8705801","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8705801","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ca178fda1ccc488c964022e9731cab03","is_oa":true,"landing_page_url":"https://doaj.org/article/ca178fda1ccc488c964022e9731cab03","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 24, p 8293 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/24/8293/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21248293","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 24; Pages: 8293","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21248293","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248293","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8293/pdf?version=1639821963","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3652511008","display_name":null,"funder_award_id":"N19-17","funder_id":"https://openalex.org/F4320329822","funder_display_name":"Novus International"}],"funders":[{"id":"https://openalex.org/F4320323037","display_name":"Instituto Tecnol\u00f3gico y de Estudios Superiores de Monterrey","ror":"https://ror.org/03ayjn504"},{"id":"https://openalex.org/F4320329822","display_name":"Novus International","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200577442.pdf","grobid_xml":"https://content.openalex.org/works/W4200577442.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1496892474","https://openalex.org/W1514648653","https://openalex.org/W1557179917","https://openalex.org/W1965893914","https://openalex.org/W1967949193","https://openalex.org/W1980244899","https://openalex.org/W1984344517","https://openalex.org/W1985059878","https://openalex.org/W1987971958","https://openalex.org/W1994505190","https://openalex.org/W1995219774","https://openalex.org/W1996118086","https://openalex.org/W2001006786","https://openalex.org/W2049928562","https://openalex.org/W2053189845","https://openalex.org/W2059700429","https://openalex.org/W2061884438","https://openalex.org/W2062112832","https://openalex.org/W2070216843","https://openalex.org/W2080644945","https://openalex.org/W2085904945","https://openalex.org/W2089468765","https://openalex.org/W2099111219","https://openalex.org/W2108323654","https://openalex.org/W2112812932","https://openalex.org/W2118185372","https://openalex.org/W2118659222","https://openalex.org/W2144279833","https://openalex.org/W2144961120","https://openalex.org/W2150590096","https://openalex.org/W2161365979","https://openalex.org/W2171801645","https://openalex.org/W2507702547","https://openalex.org/W2548195070","https://openalex.org/W2765983613","https://openalex.org/W2792140820","https://openalex.org/W2922989899","https://openalex.org/W3009500417","https://openalex.org/W3015020719","https://openalex.org/W3017317785","https://openalex.org/W3107415462","https://openalex.org/W4241784952","https://openalex.org/W4254778767","https://openalex.org/W4313169793","https://openalex.org/W6629926774","https://openalex.org/W6979930889"],"related_works":["https://openalex.org/W2357354747","https://openalex.org/W2029212399","https://openalex.org/W2419033492","https://openalex.org/W2468241742","https://openalex.org/W3146859927","https://openalex.org/W2169159254","https://openalex.org/W3174657038","https://openalex.org/W1992732116","https://openalex.org/W2067578116","https://openalex.org/W2902494752"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,47,55,74,94,192,206,215,241,260],"new":[4,102,200],"index":[5,103],"to":[6,13,54,107,126,223,249,252,265,271,280],"measure":[7],"the":[8,17,29,44,88,118,128,133,162,176,189,199,209,212,226,235,272],"resilience":[9,264,279],"of":[10,19,90,139,150,191,208,234,237,258],"an":[11,238],"individual":[12,239],"stress,":[14,281],"based":[15,112],"on":[16,113],"changes":[18],"specific":[20],"physiological":[21],"variables.":[22],"These":[23],"variables":[24],"include":[25],"electromyography,":[26],"which":[27],"is":[28,111,195,228,248],"muscle":[30],"response,":[31],"blood":[32],"volume":[33],"pulse,":[34],"breathing":[35],"rate,":[36],"peripheral":[37],"temperature,":[38],"and":[39,147,214,221,246,251],"skin":[40],"conductance.":[41],"We":[42],"measured":[43],"data":[45,61],"with":[46,77,175],"biofeedback":[48],"device":[49],"from":[50],"71":[51],"individuals":[52,275],"subjected":[53],"10-min":[56],"psychophysiological":[57],"stress":[58,266],"test.":[59],"The":[60,101,232,256],"exploration":[62],"revealed":[63],"that":[64,87,188,262,274],"features'":[65],"variability":[66],"among":[67,161],"test":[68],"phases":[69,219],"could":[70],"be":[71],"observed":[72],"in":[73,99,178,244],"two-dimensional":[75],"space":[76],"Principal":[78],"Components":[79],"Analysis":[80],"(PCA).":[81],"In":[82],"this":[83,114,169],"work,":[84],"we":[85,104,120,164,186,202],"demonstrate":[86],"values":[89],"each":[91],"feature":[92],"within":[93],"phase":[95],"are":[96,183,267],"well":[97],"organized":[98],"clusters.":[100],"propose,":[105],"Resilience":[106,177],"Stress":[108],"Index":[109,145],"(RSI),":[110],"observation.":[115],"To":[116,197],"compute":[117],"index,":[119,201],"used":[121],"non-supervised":[122],"machine":[123],"learning":[124],"methods":[125],"calculate":[127],"inter-cluster":[129],"distances,":[130],"specifically":[131],"using":[132,166],"following":[134],"four":[135],"methods:":[136],"Euclidean":[137,148],"Distance":[138,149],"PCA,":[140],"Mahalanobis":[141],"Distance,":[142,146],"Cluster":[143],"Validity":[144],"Kernel":[151],"PCA.":[152],"While":[153],"there":[154],"was":[155],"no":[156],"statistically":[157],"significant":[158],"difference":[159],"(p>0.01)":[160],"methods,":[163],"recommend":[165],"Mahalanobis,":[167],"since":[168,185],"method":[170],"provides":[171],"higher":[172],"monotonic":[173],"association":[174],"Mexicans":[179],"(RESI-M)":[180],"scale.":[181],"Results":[182],"encouraging":[184],"demonstrated":[187],"computation":[190,233],"reliable":[193],"RSI":[194,210,236],"possible.":[196],"validate":[198],"undertook":[203],"two":[204],"tasks:":[205],"comparison":[207],"against":[211],"RESI-M,":[213],"Spearman":[216],"correlation":[217],"between":[218],"one":[220],"five":[222],"determine":[224],"if":[225],"behavior":[227],"resilient":[229],"or":[230],"not.":[231],"has":[240],"broader":[242],"scope":[243],"mind,":[245],"it":[247],"understand":[250],"support":[253],"mental":[254],"health.":[255],"benefits":[257],"having":[259],"metric":[261],"measures":[263],"multiple;":[268],"for":[269],"instance,":[270],"extent":[273],"can":[276,283],"track":[277],"their":[278,285],"they":[282],"improve":[284],"everyday":[286],"life.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}
