{"id":"https://openalex.org/W2066065714","doi":"https://doi.org/10.1109/ciss.2014.6814079","title":"Brain function evaluation using enhanced fNIRS signals extraction","display_name":"Brain function evaluation using enhanced fNIRS signals extraction","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2066065714","doi":"https://doi.org/10.1109/ciss.2014.6814079","mag":"2066065714"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2014.6814079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","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/A5024700033","display_name":"Ahmad Chaddad","orcid":"https://orcid.org/0000-0003-3402-9576"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]},{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Ahmad Chaddad","raw_affiliation_strings":["College of Environmental Science & Engineering, Dalian Maritime University, Dalian, China","Department of Diagnostic Radiology, MD Anderson Cancer Center, University of Texas, Houston, USA"],"affiliations":[{"raw_affiliation_string":"College of Environmental Science & Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Department of Diagnostic Radiology, MD Anderson Cancer Center, University of Texas, Houston, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024700033"],"corresponding_institution_ids":["https://openalex.org/I43313876","https://openalex.org/I919571938"],"apc_list":null,"apc_paid":null,"fwci":0.3838,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64508302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9979000091552734,"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":0.9979000091552734,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9975000023841858,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.660571277141571},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6085352301597595},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6010167002677917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5854499936103821},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5541568994522095},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5232763886451721},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4995763301849365},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.48936599493026733},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42581063508987427},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41057440638542175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4062258005142212},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3234441876411438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.660571277141571},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6085352301597595},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6010167002677917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5854499936103821},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5541568994522095},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5232763886451721},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4995763301849365},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.48936599493026733},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42581063508987427},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41057440638542175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4062258005142212},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3234441876411438},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2014.6814079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","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":13,"referenced_works":["https://openalex.org/W1963481388","https://openalex.org/W1979847571","https://openalex.org/W1989784044","https://openalex.org/W2004995977","https://openalex.org/W2007884967","https://openalex.org/W2025102448","https://openalex.org/W2026073402","https://openalex.org/W2029313637","https://openalex.org/W2053356496","https://openalex.org/W2057723575","https://openalex.org/W2058227472","https://openalex.org/W2108431768","https://openalex.org/W2139649098"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2014650515","https://openalex.org/W4385545089"],"abstract_inverted_index":{"fNIRS":[0,159,186,193],"is":[1,50,59,84,92,104,133],"widely":[2],"used":[3,85],"to":[4,21,35,86,94,106,136,176],"monitor":[5],"brain":[6],"activities,":[7],"however":[8],"the":[9,16,88,118,123,128,144,150,181,184],"measured":[10],"hemodynamic":[11],"signals":[12,26,187],"might":[13],"not":[14],"reflect":[15],"true":[17],"cortical":[18],"events":[19],"due":[20],"systemic":[22],"signal":[23,137,194],"fluctuations.":[24],"These":[25],"include":[27],"several":[28],"types":[29],"of":[30,44,115,125,149,183],"noise":[31,71,126,178],"spread":[32],"from":[33,63,73,162,191],"low":[34],"high":[36,69],"frequencies":[37],"such":[38],"as":[39],"respiratory":[40],"interference":[41,55],"frequency":[42,56,70],"band":[43,57],"0.1-0.3Hz,":[45],"NIRS":[46,89,108,130],"Mayer":[47],"wave":[48],"which":[49,58],"about":[51],"0.1":[52],"Hz,":[53,61],"cardiac":[54],"0.8-2.0":[60],"artifacts":[62],"head":[64],"and":[65,68,98,170,179],"facial":[66],"motions,":[67],"generated":[72],"electronic":[74],"components.":[75],"The":[76,110,147],"Hemodynamic":[77],"Evoked":[78],"Response":[79],"(HomER)":[80],"graphical":[81],"user":[82],"interface":[83],"display":[87],"data,":[90],"FastICA":[91,145],"updated":[93],"reduce":[95,177],"data":[96,141,160],"dimension":[97,142],"combined":[99],"Wavelet":[100],"&":[101],"PCA":[102],"method":[103,151],"developed":[105],"denoise":[107],"signals.":[109],"applied":[111],"processing":[112],"technique":[113],"consists":[114],"adaptively":[116],"modifying":[117],"wavelet":[119],"coefficients":[120],"based":[121],"on":[122,157],"degree":[124],"contaminating":[127],"processed":[129],"signal.":[131],"This":[132],"done":[134],"subsequently":[135],"pre-processing":[138],"by":[139,154],"reducing":[140],"using":[143],"method.":[146],"feasibility":[148],"was":[152],"demonstrated":[153],"testing":[155],"it":[156],"experimental":[158],"collected":[161],"47":[163],"subjects.":[164],"Preliminary":[165],"results,":[166],"through":[167],"signal-to-noise":[168],"ratio":[169],"correlation":[171],"indicators":[172],"show":[173],"more":[174],"efficiency":[175],"improve":[180],"quality":[182],"acquired":[185],"than":[188],"those":[189],"resulting":[190],"conventional":[192],"denoising.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
