{"id":"https://openalex.org/W2979890248","doi":"https://doi.org/10.1109/embc.2019.8856817","title":"Multitaper Infinite Hidden Markov Model for EEG","display_name":"Multitaper Infinite Hidden Markov Model for EEG","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979890248","doi":"https://doi.org/10.1109/embc.2019.8856817","mag":"2979890248","pmid":"https://pubmed.ncbi.nlm.nih.gov/31947171"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8856817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7029542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066569995","display_name":"Andrew H. Song","orcid":"https://orcid.org/0000-0001-9356-9156"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew H. Song","raw_affiliation_strings":["Electrical Engineering and Computer Science, MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, MIT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071146700","display_name":"Leon Chlon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104429","display_name":"Institute of Cognitive and Brain Sciences","ror":"https://ror.org/01c3w3270","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104429"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leon Chlon","raw_affiliation_strings":["Brain and Cognitive Sciences, MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Cognitive Sciences, MIT","institution_ids":["https://openalex.org/I4210104429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058657012","display_name":"Hugo Soulat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165473","display_name":"Pain and Rehabilitation Medicine","ror":"https://ror.org/00f70np64","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hugo Soulat","raw_affiliation_strings":["MGH Department of Anesthesia, Critical Care and Pain Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MGH Department of Anesthesia, Critical Care and Pain Medicine","institution_ids":["https://openalex.org/I4210165473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054129204","display_name":"John Tauber","orcid":"https://orcid.org/0000-0001-5453-046X"},"institutions":[{"id":"https://openalex.org/I4210104429","display_name":"Institute of Cognitive and Brain Sciences","ror":"https://ror.org/01c3w3270","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104429"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Tauber","raw_affiliation_strings":["Brain and Cognitive Sciences, MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Cognitive Sciences, MIT","institution_ids":["https://openalex.org/I4210104429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087152085","display_name":"Sandya Subramanian","orcid":"https://orcid.org/0000-0001-5885-1199"},"institutions":[{"id":"https://openalex.org/I4210092658","display_name":"Harvard\u2013MIT Division of Health Sciences and Technology","ror":"https://ror.org/00jjeh629","country_code":"US","type":"education","lineage":["https://openalex.org/I4210092658"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandya Subramanian","raw_affiliation_strings":["Health Sciences and Technology, MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Sciences and Technology, MIT","institution_ids":["https://openalex.org/I4210092658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002643771","display_name":"Demba Ba","orcid":"https://orcid.org/0000-0002-1139-1030"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Demba Ba","raw_affiliation_strings":["School of Engineering and Applied Sciences, Harvard University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Sciences, Harvard University","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023893244","display_name":"Michael J. Prerau","orcid":"https://orcid.org/0000-0002-9010-5273"},"institutions":[{"id":"https://openalex.org/I4210165473","display_name":"Pain and Rehabilitation Medicine","ror":"https://ror.org/00f70np64","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Prerau","raw_affiliation_strings":["MGH Department of Anesthesia, Critical Care and Pain Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MGH Department of Anesthesia, Critical Care and Pain Medicine","institution_ids":["https://openalex.org/I4210165473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56777649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2019","issue":null,"first_page":"5803","last_page":"5807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9871000051498413,"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/multitaper","display_name":"Multitaper","score":0.9442081451416016},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7867103815078735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354703307151794},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5163906216621399},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.48641014099121094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48354673385620117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47761720418930054},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.43000781536102295},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.4238499402999878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35754233598709106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.335456520318985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3282236158847809},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3232674300670624},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20891889929771423}],"concepts":[{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.9442081451416016},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7867103815078735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354703307151794},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5163906216621399},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.48641014099121094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48354673385620117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47761720418930054},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.43000781536102295},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.4238499402999878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35754233598709106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.335456520318985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3282236158847809},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3232674300670624},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20891889929771423},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.0},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2019.8856817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31947171","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31947171","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7029542","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7029542","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conf Proc IEEE Eng Med Biol Soc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7029542","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7029542","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conf Proc IEEE Eng Med Biol Soc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1966389522","https://openalex.org/W2098301339","https://openalex.org/W2140837157","https://openalex.org/W2155722796","https://openalex.org/W2158190429","https://openalex.org/W2164082066","https://openalex.org/W2169895393","https://openalex.org/W2175184313","https://openalex.org/W2559819140","https://openalex.org/W2617363064","https://openalex.org/W4256217162","https://openalex.org/W6680738482","https://openalex.org/W6683269077","https://openalex.org/W6998865923"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2546021431","https://openalex.org/W2581127593","https://openalex.org/W3133837247","https://openalex.org/W3016255711","https://openalex.org/W1976629543","https://openalex.org/W4212851777","https://openalex.org/W2132158848","https://openalex.org/W2798450168","https://openalex.org/W2019754976"],"abstract_inverted_index":{"Electroencephalographam":[0],"(EEG)":[1],"monitoring":[2],"of":[3,16,31,51,76,101,113,128,132,140,160,189,199,205],"neural":[4,67,78],"activity":[5,79],"is":[6],"widely":[7],"used":[8,22],"for":[9,144],"identifying":[10],"underlying":[11],"brain":[12,17],"states.":[13,48],"For":[14],"inference":[15],"states,":[18,192],"researchers":[19],"have":[20],"often":[21],"Hidden":[23,93],"Markov":[24,94],"Models":[25],"(HMM)":[26],"with":[27,137,152],"a":[28,89,210],"fixed":[29,52],"number":[30,198],"hidden":[32,47,102],"states":[33,53,61,103,200],"and":[34,71,201],"an":[35,120],"observation":[36,121],"model":[37,122],"linking":[38],"the":[39,46,65,73,77,99,107,138,141,158,161,182,186,190,196,203,206],"temporal":[40],"dynamics":[41,68,75],"embedded":[42],"in":[43,57],"EEG":[44,108],"to":[45,156,168],"The":[49],"use":[50,88],"may":[54],"be":[55],"limiting,":[56],"that":[58,104],"1)":[59,181],"pre-defined":[60],"might":[62],"not":[63,81],"capture":[64],"heterogeneous":[66],"across":[69],"individuals":[70],"2)":[72,202],"oscillatory":[74],"are":[80],"directly":[82],"modeled.":[83],"To":[84],"this":[85,151],"end,":[86],"we":[87,118,175],"Hierarchical":[90],"Dirichlet":[91],"Process":[92],"Model":[95],"(HDP-HMM),":[96],"which":[97],"discovers":[98],"set":[100],"best":[105],"describes":[106],"data,":[109],"without":[110],"a-priori":[111],"specification":[112],"state":[114],"number.":[115],"In":[116],"addition,":[117],"introduce":[119],"based":[123],"on":[124],"classical":[125],"asymptotic":[126],"results":[127],"frequency":[129],"domain":[130],"properties":[131],"stationary":[133],"time":[134],"series,":[135],"along":[136],"description":[139],"conditional":[142],"distributions":[143],"Gibbs":[145],"sampler":[146],"inference.":[147],"We":[148],"then":[149],"combine":[150],"multitaper":[153,207],"spectral":[154,162,187,217],"estimation":[155],"reduce":[157],"variance":[159],"estimates.":[163,218],"By":[164],"applying":[165],"our":[166],"method":[167],"simulated":[169],"data":[170],"inspired":[171],"by":[172],"sleep":[173],"EEG,":[174],"arrive":[176],"at":[177],"two":[178],"main":[179],"results:":[180],"algorithm":[183],"faithfully":[184],"recovers":[185],"characteristics":[188],"true":[191],"as":[193,195],"well":[194],"right":[197],"incorporation":[204],"framework":[208],"produces":[209],"more":[211],"stable":[212],"estimate":[213],"than":[214],"traditional":[215],"periodogram":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}