{"id":"https://openalex.org/W3013208901","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049057","title":"A Wearable Brain Machine Interface Architecture for Regulation of Energy in Hypercortisolism","display_name":"A Wearable Brain Machine Interface Architecture for Regulation of Energy in Hypercortisolism","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013208901","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049057","mag":"3013208901"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5002452093","display_name":"Hamid Fekri Azgomi","orcid":"https://orcid.org/0000-0001-8463-004X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hamid Fekri Azgomi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068822368","display_name":"Rose T. Faghih","orcid":"https://orcid.org/0000-0001-5117-2628"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose T. Faghih","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002452093"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":1.0945,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.76919875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"241","issue":null,"first_page":"254","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/T10985","display_name":"Sleep and Wakefulness Research","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive 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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6469659209251404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640141487121582},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.5097641348838806},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5000624656677246},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4892720878124237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44554978609085083},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4375937283039093},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4261088967323303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3809705674648285},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21079868078231812},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19526657462120056},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.1835756003856659},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12122005224227905}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6469659209251404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640141487121582},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.5097641348838806},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5000624656677246},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4892720878124237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44554978609085083},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4375937283039093},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4261088967323303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3809705674648285},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21079868078231812},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19526657462120056},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.1835756003856659},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12122005224227905},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1438816773","https://openalex.org/W1507322379","https://openalex.org/W1554275003","https://openalex.org/W1754058279","https://openalex.org/W1910274646","https://openalex.org/W1954326660","https://openalex.org/W1970842739","https://openalex.org/W1978685136","https://openalex.org/W1983989753","https://openalex.org/W1987809657","https://openalex.org/W1992176519","https://openalex.org/W1995064401","https://openalex.org/W1995543774","https://openalex.org/W2021271765","https://openalex.org/W2026135238","https://openalex.org/W2062229436","https://openalex.org/W2085156009","https://openalex.org/W2087816003","https://openalex.org/W2094098594","https://openalex.org/W2095590290","https://openalex.org/W2096838333","https://openalex.org/W2144190916","https://openalex.org/W2158083719","https://openalex.org/W2160437604","https://openalex.org/W2164183806","https://openalex.org/W2263586408","https://openalex.org/W2287564041","https://openalex.org/W2503649349","https://openalex.org/W2521475794","https://openalex.org/W2540622024","https://openalex.org/W2544691384","https://openalex.org/W2572122858","https://openalex.org/W2779955156","https://openalex.org/W2794854472","https://openalex.org/W2884374716","https://openalex.org/W2914825457","https://openalex.org/W2919555843","https://openalex.org/W2945789476","https://openalex.org/W2959822813","https://openalex.org/W2979358719","https://openalex.org/W2980094584","https://openalex.org/W2980273939","https://openalex.org/W4234565386","https://openalex.org/W4249749961","https://openalex.org/W6633015326","https://openalex.org/W6693182969","https://openalex.org/W6762759227"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1969223073"],"abstract_inverted_index":{"Hypercortisolism":[0],"is":[1,17,148],"associated":[2],"with":[3],"tiredness":[4],"and":[5,10,55,63,138],"fatigue":[6],"during":[7],"the":[8,81,89,106,134,140,153],"day":[9],"disturbed":[11],"sleep":[12],"at":[13],"night.":[14],"Our":[15],"goal":[16,155],"to":[18,26,38,79],"employ":[19],"a":[20,35,40,92,97,110,149],"wearable":[21,111],"brain":[22,112,135],"machine":[23,113],"interface":[24,114],"architecture":[25,115],"regulate":[27],"one's":[28,46,126],"energy":[29,117],"in":[30,119,159],"hypercortisolism.":[31,120],"First,":[32],"we":[33,51,87,104,124],"present":[34],"state-space":[36],"model":[37],"infer":[39,125],"hidden":[41,82],"cognitive":[42,83,127],"energy-related":[43,84,128],"state":[44,129],"from":[45],"Cortisol":[47,61,70],"secretion":[48,71],"patterns.":[49],"Particularly,":[50],"consider":[52],"circadian":[53],"upper":[54],"lower":[56],"bound":[57],"envelope":[58],"curves":[59],"on":[60,101],"levels,":[62],"timings":[64],"of":[65,108,156],"hypothalamic":[66],"pulsatile":[67],"activity":[68,136],"underlying":[69],"as":[72],"observations.":[73],"We":[74],"then":[75],"use":[76],"Bayesian":[77],"filtering":[78],"estimate":[80],"state.":[85],"Finally,":[86],"close":[88,139],"loop":[90,141],"using":[91,142],"knowledge-based":[93],"control":[94],"approach.":[95],"In":[96,121],"simulation":[98,146],"study":[99,147],"based":[100],"experimental":[102],"data,":[103],"illustrate":[105],"feasibility":[107],"designing":[109],"for":[116],"regulation":[118],"this":[122],"architecture,":[123],"seamlessly":[130],"rather":[131],"than":[132],"monitoring":[133],"directly":[137],"fuzzy":[143],"control.":[144],"This":[145],"first":[150],"step":[151],"towards":[152],"ultimate":[154],"managing":[157],"hypercortisolism":[158],"real-world":[160],"situations.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
