{"id":"https://openalex.org/W4200294026","doi":"https://doi.org/10.1109/tie.2021.3137618","title":"Unveiling Interpretable Key Performance Indicators in Hypoxic Response: A System Identification Approach","display_name":"Unveiling Interpretable Key Performance Indicators in Hypoxic Response: A System Identification Approach","publication_year":2021,"publication_date":"2021-12-29","ids":{"openalex":"https://openalex.org/W4200294026","doi":"https://doi.org/10.1109/tie.2021.3137618"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2021.3137618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3137618","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5007144092","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-7907-3226"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7907-3226","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101976295","display_name":"Rong Xiao","orcid":"https://orcid.org/0000-0002-6305-4845"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xiao","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6305-4845","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708932","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-2474-195X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2474-195X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101613009","display_name":"Lingling Zhu","orcid":"https://orcid.org/0000-0002-4929-7103"},"institutions":[{"id":"https://openalex.org/I142415962","display_name":"Beijing Institute of Education","ror":"https://ror.org/03aefdx31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142415962"]},{"id":"https://openalex.org/I4391767653","display_name":"Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences","ror":"https://ror.org/055qbch41","country_code":null,"type":"facility","lineage":["https://openalex.org/I200296433","https://openalex.org/I4391767653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Zhu","raw_affiliation_strings":["Beijing Institute of Basic Medical Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4929-7103","affiliations":[{"raw_affiliation_string":"Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I142415962","https://openalex.org/I4391767653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074670449","display_name":"Dawei Shi","orcid":"https://orcid.org/0000-0002-3480-7502"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Shi","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3480-7502","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5792,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63072717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"69","issue":"12","first_page":"13676","last_page":"13685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9958999752998352,"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":0.9958999752998352,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9955000281333923,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.578719973564148},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5322487354278564},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.531423807144165},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5259497165679932},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5047405958175659},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48683470487594604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47379109263420105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47269418835639954},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4677182734012604},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.438156396150589},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.42862969636917114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2063092589378357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14499709010124207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.578719973564148},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5322487354278564},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.531423807144165},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5259497165679932},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5047405958175659},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48683470487594604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47379109263420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47269418835639954},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4677182734012604},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.438156396150589},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.42862969636917114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2063092589378357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14499709010124207},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2021.3137618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3137618","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1261343298","display_name":null,"funder_award_id":"Z161100000216134","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G5242769617","display_name":null,"funder_award_id":"61973030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1584655072","https://openalex.org/W1964693647","https://openalex.org/W1976026541","https://openalex.org/W1991912892","https://openalex.org/W1998761071","https://openalex.org/W2041453525","https://openalex.org/W2061346042","https://openalex.org/W2068462444","https://openalex.org/W2097130560","https://openalex.org/W2099719924","https://openalex.org/W2129995532","https://openalex.org/W2137130677","https://openalex.org/W2169527983","https://openalex.org/W2279586435","https://openalex.org/W2521957085","https://openalex.org/W2725831365","https://openalex.org/W2772535614","https://openalex.org/W2790320666","https://openalex.org/W2792056293","https://openalex.org/W2886478610","https://openalex.org/W2906848975","https://openalex.org/W2924233762","https://openalex.org/W2964185906","https://openalex.org/W2965278703","https://openalex.org/W2982307536","https://openalex.org/W2987038240","https://openalex.org/W3007792515","https://openalex.org/W3046368231","https://openalex.org/W3153973281"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2999186374"],"abstract_inverted_index":{"Advances":[0],"in":[1],"wireless":[2],"networks":[3],"and":[4,77,117,153,177,192],"wearable":[5,42],"electronic":[6],"devices":[7],"have":[8],"enabled":[9],"the":[10,26,31,57,91,125,140,167,171,181,185,194],"monitoring":[11],"of":[12,33,69,86,93,103,183],"massive":[13],"physiological":[14,38,94],"data":[15,39,95,165],"for":[16,80,160],"disease":[17],"diagnosis.":[18],"In":[19],"this":[20],"article,":[21],"we":[22],"aim":[23],"to":[24,55,145],"explore":[25],"hypoxic":[27,195],"response":[28,196],"dynamics":[29],"through":[30],"use":[32],"system":[34,59],"identification":[35],"based":[36,61,138],"on":[37,62,90,139],"monitored":[40],"by":[41,190],"devices.":[43],"A":[44,133],"third-order":[45],"autoregressive":[46],"moving":[47],"average":[48],"with":[49,105],"exogenous":[50],"inputs":[51],"model":[52,134],"is":[53,72,88,131,143,158],"developed":[54],"describe":[56],"dominant":[58],"dynamics,":[60],"which":[63],"an":[64,147],"interpretable":[65],"index":[66],"called":[67],"\u201csum":[68],"distance\u201d":[70],"(SoD)":[71],"proposed":[73,144,175],"from":[74,96],"a":[75,97,129,154],"systems":[76],"control":[78],"perspective":[79],"AMS":[81,108,186],"risk":[82,187],"evaluation.":[83],"The":[84,163,174],"effectiveness":[85],"SoD":[87],"evaluated":[89],"basis":[92],"proof-of-the-concept":[98],"study.":[99],"Statistically,":[100],"significant":[101],"relationships":[102],"DSI":[104],"ground":[106],"truth":[107],"metrics":[109],"(including,":[110],"Lake":[111],"Louise":[112],"score,":[113],"deep":[114,118],"sleep":[115,119],"duration,":[116],"ratio)":[120],"are":[121],"observed.":[122],"To":[123],"accelerate":[124],"evaluation":[126,188],"algorithm":[127],"design,":[128],"simulator":[130],"designed.":[132],"parameter":[135],"selection":[136],"method":[137,176],"three-sigma":[141],"rule":[142],"generate":[146],"<italic":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">in":[150],"silico</i>":[151],"population,":[152],"total":[155],"disturbance":[156,161],"sequence":[157],"determined":[159],"simulation.":[162],"created":[164],"has":[166],"same":[168],"trend":[169],"as":[170],"real":[172],"measurements.":[173],"experimental":[178],"results":[179],"indicate":[180],"feasibility":[182],"improving":[184],"performance":[189],"understanding":[191],"learning":[193],"mechanism.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
