{"id":"https://openalex.org/W4286306484","doi":"https://doi.org/10.23919/ascc56756.2022.9828151","title":"Remove the motion artifacts in fNIRS using neural networks","display_name":"Remove the motion artifacts in fNIRS using neural networks","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286306484","doi":"https://doi.org/10.23919/ascc56756.2022.9828151"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828151","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828151","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","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/A5047838115","display_name":"Ruisen Huang","orcid":"https://orcid.org/0000-0003-1043-2395"},"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":"Ruisen Huang","raw_affiliation_strings":["Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028668157","display_name":"Dalin Yang","orcid":"https://orcid.org/0000-0002-5730-0173"},"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":"Dalin Yang","raw_affiliation_strings":["Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University, Busan, Republic of 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":["Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University,School of Mechanical Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047838115"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.447,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58060171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1359","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9988999962806702,"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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.735561728477478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5786011815071106},{"id":"https://openalex.org/keywords/functional-near-infrared-spectroscopy","display_name":"Functional near-infrared spectroscopy","score":0.5696221590042114},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5556507110595703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5535562038421631},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4538688361644745},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.4511106610298157},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42704012989997864},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.41033533215522766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29372015595436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735561728477478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5786011815071106},{"id":"https://openalex.org/C130796691","wikidata":"https://www.wikidata.org/wiki/Q750537","display_name":"Functional near-infrared spectroscopy","level":4,"score":0.5696221590042114},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5556507110595703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5535562038421631},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4538688361644745},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.4511106610298157},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42704012989997864},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.41033533215522766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29372015595436096},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2781195155","wikidata":"https://www.wikidata.org/wiki/Q18680","display_name":"Prefrontal cortex","level":3,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828151","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828151","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335199","display_name":"Korea Institute of Energy Technology Evaluation and Planning","ror":"https://ror.org/02zq38y32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1937763798","https://openalex.org/W1980786684","https://openalex.org/W1987143349","https://openalex.org/W1996776986","https://openalex.org/W1999340799","https://openalex.org/W1999759389","https://openalex.org/W2004995977","https://openalex.org/W2021948210","https://openalex.org/W2029045058","https://openalex.org/W2031155522","https://openalex.org/W2035831621","https://openalex.org/W2045561515","https://openalex.org/W2053590186","https://openalex.org/W2057723575","https://openalex.org/W2062649036","https://openalex.org/W2099119042","https://openalex.org/W2108431768","https://openalex.org/W2148895235","https://openalex.org/W2165201535","https://openalex.org/W2195752700","https://openalex.org/W2336959620","https://openalex.org/W2561272868","https://openalex.org/W2605993727","https://openalex.org/W2609367342","https://openalex.org/W2764315683","https://openalex.org/W2766262086","https://openalex.org/W2792924962","https://openalex.org/W2811153207","https://openalex.org/W2890089175","https://openalex.org/W2895757091","https://openalex.org/W2902658614","https://openalex.org/W2903404864","https://openalex.org/W2952560166","https://openalex.org/W2973216627","https://openalex.org/W3010285957","https://openalex.org/W3133141121","https://openalex.org/W3134132631","https://openalex.org/W3135581493","https://openalex.org/W3159420371","https://openalex.org/W3185976047","https://openalex.org/W3211064576"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2518226033","https://openalex.org/W2186374051","https://openalex.org/W2906058118","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W4376595809","https://openalex.org/W2059332403"],"abstract_inverted_index":{"Functional":[0],"near-infrared":[1],"spectroscopy":[2],"(fNIRS)":[3],"is":[4,29,176,185],"an":[5,33,186],"emerging":[6],"technique":[7],"for":[8],"portable":[9],"brain":[10],"monitoring":[11],"or":[12],"real-time":[13,42],"brain-computer":[14],"interfaces.":[15],"An":[16],"attenuation":[17],"of":[18,26,77,113,157,205],"motion":[19,44,91],"artifacts":[20,45,92],"while":[21],"conserving":[22],"the":[23,52,97,102,107,111,118,144,164,167,189,199,203,206],"original":[24],"shape":[25],"motionless":[27,53],"signals":[28,79,161,194,201],"crucial":[30],"to":[31,40,96],"obtaining":[32],"in-time":[34],"and":[35,49,67,89,106,120,139,160],"accurate":[36],"user":[37],"experience.":[38],"Aiming":[39],"enable":[41],"filtering":[43],"without":[46],"additional":[47],"hardware":[48],"not":[50,177],"distorting":[51],"signals,":[54],"we":[55],"proposed":[56,124,145,168,207],"a":[57,68,83,213],"solution":[58,125,146,169,208],"combining":[59],"simplified":[60],"residual":[61],"fully":[62],"connected":[63],"neural":[64],"networks":[65],"(sResFCNN)":[66],"lowpass":[69],"finite":[70],"impulse":[71],"response":[72],"(FIR)":[73],"filter.":[74],"A":[75],"set":[76],"fNIRS":[78],"was":[80,115,126],"simulated":[81],"using":[82],"balloon":[84],"model.":[85],"Physiological":[86],"noise,":[87],"spike-like,":[88],"step-like":[90],"were":[93],"linearly":[94],"added":[95],"signals.":[98],"By":[99],"iteration":[100],"over":[101],"input":[103],"neuron":[104],"numbers":[105],"hidden":[108],"layer":[109],"numbers,":[110],"structure":[112],"sResFCNN":[114],"decided":[116],"with":[117,128],"training":[119],"testing":[121],"losses.":[122],"The":[123],"compared":[127],"spline":[129],"interpolation-based":[130],"filter":[131,137],"(MARA),":[132],"wavelet-based":[133],"filter,":[134],"dual-stage":[135],"median":[136],"(DSMF),":[138],"sResFCNN.":[140],"Results":[141],"showed":[142],"that":[143,183,192],"outperforms":[147],"all":[148],"other":[149,165],"filters":[150],"at":[151],"one":[152],"wavelength":[153],"in":[154,212],"both":[155],"senses":[156],"noise":[158],"suppression":[159],"distortion.":[162],"At":[163],"wavelength,":[166],"has":[170],"comparable":[171],"performance":[172],"as":[173,178,180,198],"DSMF":[174],"yet":[175],"good":[179],"MARA.":[181],"Considering":[182],"MARA":[184],"offline":[187],"solution,":[188],"results":[190],"suggest":[191],"MARA-filtered":[193],"can":[195],"be":[196],"used":[197],"reference":[200],"during":[202],"evaluation":[204],"on":[209],"experimental":[210],"data":[211],"future":[214],"study.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
