{"id":"https://openalex.org/W1578394830","doi":"https://doi.org/10.1109/aim.2015.7222527","title":"Optimizing a hemodynamic model in the human motor cortex","display_name":"Optimizing a hemodynamic model in the human motor cortex","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1578394830","doi":"https://doi.org/10.1109/aim.2015.7222527","mag":"1578394830"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2015.7222527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5064181620","display_name":"Hoang-Dung Nguyen","orcid":"https://orcid.org/0000-0001-8529-9758"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hoang-Dung Nguyen","raw_affiliation_strings":["Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea","Department of Cogno-Mechatronics Engineering; Pusan National University; Busan South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Cogno-Mechatronics Engineering; Pusan National University; Busan South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021609168","display_name":"Keum\u2010Shik Hong","orcid":"https://orcid.org/0000-0002-8528-4457"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keum-Shik Hong","raw_affiliation_strings":["School of Mechanical Engineering, Pusan National University, Busan, South Korea","Department of Cogno-Mechatronics Engineering; Pusan National University; Busan South Korea"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Cogno-Mechatronics Engineering; Pusan National University; Busan South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064181620"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.2635,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60088614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9976999759674072,"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":0.9833999872207642,"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/stimulus","display_name":"Stimulus (psychology)","score":0.6546061038970947},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6093868017196655},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.5121006965637207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4273533225059509},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.42125046253204346},{"id":"https://openalex.org/keywords/motor-cortex","display_name":"Motor cortex","score":0.4196368157863617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37780293822288513},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3403055667877197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2980767488479614},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.28427475690841675},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27062609791755676},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23596730828285217},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18511581420898438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09372764825820923}],"concepts":[{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.6546061038970947},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6093868017196655},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.5121006965637207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4273533225059509},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.42125046253204346},{"id":"https://openalex.org/C2778373776","wikidata":"https://www.wikidata.org/wiki/Q18696","display_name":"Motor cortex","level":3,"score":0.4196368157863617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37780293822288513},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3403055667877197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2980767488479614},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28427475690841675},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27062609791755676},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23596730828285217},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18511581420898438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09372764825820923},{"id":"https://openalex.org/C24998067","wikidata":"https://www.wikidata.org/wiki/Q4114622","display_name":"Stimulation","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2015.7222527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1584452390","https://openalex.org/W1967512849","https://openalex.org/W1974893143","https://openalex.org/W1990384647","https://openalex.org/W1998663768","https://openalex.org/W2003394216","https://openalex.org/W2004128282","https://openalex.org/W2010872261","https://openalex.org/W2026337283","https://openalex.org/W2027986759","https://openalex.org/W2032877455","https://openalex.org/W2041440176","https://openalex.org/W2043634104","https://openalex.org/W2045561515","https://openalex.org/W2047952196","https://openalex.org/W2050261482","https://openalex.org/W2060631631","https://openalex.org/W2063398621","https://openalex.org/W2066303625","https://openalex.org/W2068904026","https://openalex.org/W2069216639","https://openalex.org/W2078580188","https://openalex.org/W2079326834","https://openalex.org/W2089510482","https://openalex.org/W2092890379","https://openalex.org/W2108596771","https://openalex.org/W2130212796","https://openalex.org/W2131578563","https://openalex.org/W2142635246","https://openalex.org/W2151969869","https://openalex.org/W2156522227","https://openalex.org/W2170797424","https://openalex.org/W2492870335","https://openalex.org/W3149745985","https://openalex.org/W4230948092","https://openalex.org/W4256230679"],"related_works":["https://openalex.org/W1987464952","https://openalex.org/W2735932032","https://openalex.org/W2028169157","https://openalex.org/W2172884470","https://openalex.org/W2188061941","https://openalex.org/W2148077962","https://openalex.org/W4253044522","https://openalex.org/W1980950130","https://openalex.org/W2272518678","https://openalex.org/W2140267235"],"abstract_inverted_index":{"The":[0,27,42,68,92],"paper":[1],"presents":[2],"a":[3,24,48],"method":[4,70],"for":[5],"reconstructing":[6],"the":[7,20,34,54,64,75,79,85,95,111,120,124,129],"impulse":[8,29,43,90,100,121],"hemodynamic":[9],"response":[10],"(HR)":[11],"of":[12,23,38,57,94,123],"functional":[13],"near-infrared":[14],"spectroscopy":[15],"(fNIRS)":[16],"data":[17],"measured":[18],"in":[19,52,78,127,137],"motor":[21,125],"cortex":[22,126],"human":[25],"brain.":[26],"empirical":[28],"HRs":[30],"are":[31],"averaged":[32],"across":[33],"most":[35],"active":[36],"channels":[37],"nineteen":[39],"healthy":[40],"volunteers.":[41],"HR":[44,97,122,131],"is":[45,60,71,106],"modeled":[46],"by":[47,62],"state":[49,80],"space":[50,81],"equation":[51,114],"which":[53],"optimal":[55],"order":[56],"this":[58],"model":[59,82],"computed":[61],"using":[63],"Akaike":[65],"information":[66],"criterion.":[67],"subspace":[69],"utilized":[72,117],"to":[73,88,98,108,118,132],"estimate":[74],"parameter":[76],"matrices":[77],"based":[83],"on":[84],"obtained":[86],"fNIRS-HR":[87],"an":[89,99,133,138],"stimulus.":[91],"stability":[93],"reconstructed":[96],"stimulus":[101,135],"will":[102],"be":[103,116],"investigated.":[104],"It":[105],"worthy":[107],"note":[109],"that":[110],"third-order":[112],"state-space":[113],"can":[115],"describe":[119],"generating":[128],"predicted":[130],"arbitrary":[134],"sequence":[136],"online":[139],"imaging.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}