{"id":"https://openalex.org/W1984422140","doi":"https://doi.org/10.1109/iccsce.2014.7072710","title":"De-noising of auditory brainstem response via diffusion and wavelet transform","display_name":"De-noising of auditory brainstem response via diffusion and wavelet transform","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1984422140","doi":"https://doi.org/10.1109/iccsce.2014.7072710","mag":"1984422140"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce.2014.7072710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2014.7072710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014)","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/A5103263866","display_name":"Jiwa Abdullah","orcid":"https://orcid.org/0000-0002-9195-5368"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Jiwa Abdullah","raw_affiliation_strings":["Department of Communicatin Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","Department of Communication Engineering, Faculty Of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Communicatin Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Department of Communication Engineering, Faculty Of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000246268","display_name":"Hassan Hamid Ekal","orcid":null},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hassan Hamid Ekal","raw_affiliation_strings":["Department of Communicatin Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","Department of Communication Engineering, Faculty Of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Communicatin Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Department of Communication Engineering, Faculty Of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103263866"],"corresponding_institution_ids":["https://openalex.org/I930072361"],"apc_list":null,"apc_paid":null,"fwci":0.27213328,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53879652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9983000159263611,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9947999715805054,"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/wavelet-transform","display_name":"Wavelet transform","score":0.6322808265686035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229349970817566},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6192116141319275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6091979146003723},{"id":"https://openalex.org/keywords/auditory-brainstem-response","display_name":"Auditory brainstem response","score":0.599056601524353},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5888572335243225},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5835378170013428},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45890942215919495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43740925192832947},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.43434765934944153},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42668387293815613},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41445812582969666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0954081118106842}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6322808265686035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229349970817566},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6192116141319275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6091979146003723},{"id":"https://openalex.org/C43791021","wikidata":"https://www.wikidata.org/wiki/Q608256","display_name":"Auditory brainstem response","level":3,"score":0.599056601524353},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5888572335243225},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5835378170013428},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45890942215919495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43740925192832947},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.43434765934944153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42668387293815613},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41445812582969666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0954081118106842},{"id":"https://openalex.org/C2780493683","wikidata":"https://www.wikidata.org/wiki/Q16035842","display_name":"Hearing loss","level":2,"score":0.0},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce.2014.7072710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2014.7072710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310112","display_name":"Universiti Tun Hussein Onn Malaysia","ror":"https://ror.org/01c5wha71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W72806058","https://openalex.org/W977385337","https://openalex.org/W1003373857","https://openalex.org/W1578046260","https://openalex.org/W1668041825","https://openalex.org/W2006673480","https://openalex.org/W2007203285","https://openalex.org/W2007884967","https://openalex.org/W2011430451","https://openalex.org/W2032924988","https://openalex.org/W2056834354","https://openalex.org/W2091529796","https://openalex.org/W2099509424","https://openalex.org/W2122515425","https://openalex.org/W2136317014","https://openalex.org/W2144419338","https://openalex.org/W2144865785","https://openalex.org/W2150958186","https://openalex.org/W2155138959","https://openalex.org/W2169775951","https://openalex.org/W2400590985","https://openalex.org/W2408306957","https://openalex.org/W2500695335","https://openalex.org/W2572903425","https://openalex.org/W2978362944","https://openalex.org/W3146366051","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4245508182","https://openalex.org/W4233511069","https://openalex.org/W2046633342","https://openalex.org/W2370050053","https://openalex.org/W2372936409","https://openalex.org/W53954450","https://openalex.org/W2365287829","https://openalex.org/W2389645710","https://openalex.org/W2379553594","https://openalex.org/W2351059076"],"abstract_inverted_index":{"Evoked":[0],"Potentials":[1],"are":[2],"event-related":[3],"activities":[4],"that":[5,155],"occurred":[6],"as":[7,66],"an":[8],"electrical":[9],"response":[10,51,81],"from":[11,55],"the":[12,56,61,78,93,97,109,118,122,127,133,156,167],"brain":[13,28,50,80],"to":[14,95],"different":[15,42],"sensory":[16],"stimulations":[17],"of":[18,44,77,102],"nervous":[19],"tissues.":[20],"In":[21],"this":[22],"paper,":[23],"auditory":[24,49,79],"evoked":[25],"potentials":[26],"(AEP)":[27],"responses":[29],"were":[30,53],"collected":[31],"and":[32,46,64,85,111,130,148],"examined.":[33],"The":[34,48,89,114,152],"data":[35,52,59,98],"collection":[36],"was":[37,137],"done":[38,138],"twice":[39],"with":[40],"three":[41],"levels":[43,101],"sound":[45],"frequencies.":[47],"extracted":[54,123],"noisy":[57],"original":[58],"using":[60,82],"averaging":[62],"technique":[63,158],"set":[65],"a":[67],"reference":[68],"signal.":[69],"We":[70],"propose":[71],"new":[72],"approaches":[73],"for":[74],"feature":[75],"extraction":[76],"wavelet":[83,90,163],"transforms":[84],"diffusion":[86,115,157],"filters":[87],"algorithms.":[88],"transform":[91,164],"has":[92],"ability":[94],"resolve":[96],"into":[99],"various":[100],"decomposition,":[103],"which":[104],"facilitate":[105],"its":[106],"representation":[107],"in":[108,126,165],"frequency":[110],"time":[112],"domain.":[113],"filters,":[116],"on":[117,140],"other":[119],"hand":[120],"enhanced":[121],"signals":[124],"resulting":[125],"noise":[128],"suppression":[129],"thus":[131],"reducing":[132],"error.":[134],"Performance":[135],"analysis":[136],"based":[139],"signal-to-noise":[141],"ratio":[142,150],"(SNR),":[143],"mean":[144],"squared":[145],"error":[146],"(MSE)":[147],"peak-signal-to-noise":[149],"(PSNR).":[151],"outcome":[153],"shows":[154],"produces":[159],"better":[160],"performance":[161],"than":[162],"all":[166],"cases":[168],"studied.":[169]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}