{"id":"https://openalex.org/W2464689592","doi":"https://doi.org/10.1109/ismict.2016.7498892","title":"On-line EEG Denoising using correlated sparse recovery","display_name":"On-line EEG Denoising using correlated sparse recovery","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2464689592","doi":"https://doi.org/10.1109/ismict.2016.7498892","mag":"2464689592"},"language":"en","primary_location":{"id":"doi:10.1109/ismict.2016.7498892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict.2016.7498892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Medical Information and Communication Technology (ISMICT)","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/A5077757629","display_name":"Manish Gupta","orcid":"https://orcid.org/0000-0002-8664-2244"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"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":true,"raw_author_name":"Manish Gupta","raw_affiliation_strings":["Division of Sleep Medicine, Harvard Medical School, Boston, MA","Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA","John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Division of Sleep Medicine, Harvard Medical School, Boston, MA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011841121","display_name":"Scott A. Beckett","orcid":null},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott A. Beckett","raw_affiliation_strings":["Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031090054","display_name":"Elizabeth B. Klerman","orcid":"https://orcid.org/0000-0002-7402-3171"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"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":"Elizabeth B. Klerman","raw_affiliation_strings":["Division of Sleep Medicine, Harvard Medical School, Boston, MA","Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Division of Sleep Medicine, Harvard Medical School, Boston, MA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Division of Sleep and Circadian Disorders, Brigham and Women Hospital, Boston, MA","institution_ids":["https://openalex.org/I1283280774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077757629"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51512445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991000294685364,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079201936721802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6749281883239746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6349760293960571},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.546796977519989},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5384634733200073},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5364682674407959},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4877668023109436},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46578115224838257},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4557073712348938},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4483630657196045},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36447465419769287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079201936721802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6749281883239746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6349760293960571},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.546796977519989},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5384634733200073},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5364682674407959},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4877668023109436},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46578115224838257},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4557073712348938},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4483630657196045},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36447465419769287},{"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismict.2016.7498892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict.2016.7498892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Medical Information and Communication Technology (ISMICT)","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":28,"referenced_works":["https://openalex.org/W227339781","https://openalex.org/W323457753","https://openalex.org/W1249696972","https://openalex.org/W1967570549","https://openalex.org/W1974687042","https://openalex.org/W1981157266","https://openalex.org/W1999269011","https://openalex.org/W2005305331","https://openalex.org/W2033419225","https://openalex.org/W2052338702","https://openalex.org/W2071284784","https://openalex.org/W2079277602","https://openalex.org/W2093266575","https://openalex.org/W2146000945","https://openalex.org/W2146976664","https://openalex.org/W2148154358","https://openalex.org/W2162722663","https://openalex.org/W2163092406","https://openalex.org/W2187595671","https://openalex.org/W2189491317","https://openalex.org/W2295549646","https://openalex.org/W4232944527","https://openalex.org/W4233743655","https://openalex.org/W4285719527","https://openalex.org/W6611379948","https://openalex.org/W6628234986","https://openalex.org/W6686775985","https://openalex.org/W6687224543"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W3162837891","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004","https://openalex.org/W1741504538","https://openalex.org/W4308623176","https://openalex.org/W2019696434","https://openalex.org/W2369564042","https://openalex.org/W2126683262"],"abstract_inverted_index":{"We":[0,58],"address":[1],"the":[2,18,21],"problem":[3],"of":[4,20,30,53,56],"structured":[5,45,64],"sparse":[6,65,106],"signal":[7,22],"recovery":[8,107],"when":[9,136],"only":[10],"certain":[11],"statistical":[12],"rather":[13],"than":[14],"exact":[15],"properties":[16],"describing":[17],"structure":[19],"are":[23],"available.":[24],"Such":[25],"problems":[26],"arise":[27],"in":[28,34,67,88,109],"elimination":[29],"eye":[31,85],"movement":[32,86],"artifacts":[33],"waking":[35],"EEG":[36,90,114],"recordings;":[37],"this":[38],"task":[39],"cannot":[40],"be":[41],"efficiently":[42],"done":[43],"using":[44],"models":[46],"that":[47,74],"assume":[48],"a":[49,68],"common":[50],"sparsity":[51],"profile":[52],"fixed":[54],"groups":[55],"components.":[57],"present":[59],"an":[60,124,142],"algorithm":[61],"for":[62],"learning":[63],"coefficients":[66],"Bayesian":[69],"paradigm.":[70],"Using":[71],"our":[72,128],"algorithm,":[73],"we":[75,81],"call":[76],"Correlated":[77],"Sparse":[78],"Recovery":[79],"(CSR),":[80],"have":[82],"successfully":[83],"removed":[84],"artifact":[87,125],"real":[89],"recordings,":[91],"with":[92,115,138],"no":[93],"data":[94],"loss.":[95],"Our":[96],"method,":[97],"which":[98],"facilitates":[99],"on-line":[100],"application,":[101],"outperforms":[102],"ICA":[103],"and":[104,119,133],"standard":[105],"algorithms":[108],"its":[110],"ability":[111],"to":[112],"denoise":[113],"minimal":[116],"spectral":[117],"distortion":[118],"maximal":[120],"entropy":[121],"preservation.":[122],"As":[123],"detection":[126],"tool":[127],"method":[129],"has":[130],"96%":[131],"specificity":[132],"97%":[134],"sensitivity":[135],"compared":[137],"manual":[139],"identification":[140],"by":[141],"expert.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
