{"id":"https://openalex.org/W1974284071","doi":"https://doi.org/10.1109/icsipa.2013.6708030","title":"Optimal accuracy and runtime trade-off in wavelet based single-trial P300 detection","display_name":"Optimal accuracy and runtime trade-off in wavelet based single-trial P300 detection","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1974284071","doi":"https://doi.org/10.1109/icsipa.2013.6708030","mag":"1974284071"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2013.6708030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2013.6708030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Signal and Image Processing Applications","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/A5027639123","display_name":"Farid Motlagh","orcid":"https://orcid.org/0000-0001-5290-0922"},"institutions":[{"id":"https://openalex.org/I130343225","display_name":"Universiti Putra Malaysia","ror":"https://ror.org/02e91jd64","country_code":"MY","type":"education","lineage":["https://openalex.org/I130343225"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"F. Motlagh","raw_affiliation_strings":["Department of Mechanical & Manufacturing Engineering, Universiti Putra Malaysia, Selangore, Malaysia","Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia, Serdang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical & Manufacturing Engineering, Universiti Putra Malaysia, Selangore, Malaysia","institution_ids":["https://openalex.org/I130343225"]},{"raw_affiliation_string":"Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia, Serdang, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010031092","display_name":"Shanjiang Tang","orcid":"https://orcid.org/0000-0001-9533-9899"},"institutions":[{"id":"https://openalex.org/I130343225","display_name":"Universiti Putra Malaysia","ror":"https://ror.org/02e91jd64","country_code":"MY","type":"education","lineage":["https://openalex.org/I130343225"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"S.H. Tang","raw_affiliation_strings":["Department of Mechanical & Manufacturing Engineering, Universiti Putra Malaysia, Selangore, Malaysia","Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia, Serdang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical & Manufacturing Engineering, Universiti Putra Malaysia, Selangore, Malaysia","institution_ids":["https://openalex.org/I130343225"]},{"raw_affiliation_string":"Dept. of Mech. & Manuf. Eng., Univ. Putra Malaysia, Serdang, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002245040","display_name":"O. Motlagh","orcid":"https://orcid.org/0000-0001-6749-9182"},"institutions":[{"id":"https://openalex.org/I32589535","display_name":"Technical University of Malaysia Malacca","ror":"https://ror.org/01xb6rs26","country_code":"MY","type":"education","lineage":["https://openalex.org/I32589535"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"O. Motlagh","raw_affiliation_strings":["Department of Robotics and Automation, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia","Dept. of Robot. & Autom., Univ. Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Automation, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia","institution_ids":["https://openalex.org/I32589535"]},{"raw_affiliation_string":"Dept. of Robot. & Autom., Univ. Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia","institution_ids":["https://openalex.org/I32589535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4701,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63093043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"114","issue":null,"first_page":"343","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/feature-extraction","display_name":"Feature extraction","score":0.7775833606719971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317337989807129},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.7184971570968628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6727897524833679},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6677858829498291},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6550552845001221},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6490874290466309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6330270767211914},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5416086912155151},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.4773174226284027},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4438301622867584},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44030100107192993},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4341503977775574},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.42711341381073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1996593475341797}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7775833606719971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317337989807129},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.7184971570968628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6727897524833679},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6677858829498291},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6550552845001221},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6490874290466309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330270767211914},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5416086912155151},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.4773174226284027},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4438301622867584},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44030100107192993},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4341503977775574},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.42711341381073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1996593475341797},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/icsipa.2013.6708030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2013.6708030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Signal and Image Processing Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:psasir.upm.edu.my:69513","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196260","display_name":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130343225","host_organization_name":"Universiti Putra Malaysia","host_organization_lineage":["https://openalex.org/I130343225"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1517313676","https://openalex.org/W1770177499","https://openalex.org/W1967065829","https://openalex.org/W2007878124","https://openalex.org/W2021119971","https://openalex.org/W2085682937","https://openalex.org/W2098100592","https://openalex.org/W2103350276","https://openalex.org/W2129646829","https://openalex.org/W2140413964","https://openalex.org/W2147099769","https://openalex.org/W2157659878","https://openalex.org/W2159318219","https://openalex.org/W2319424058","https://openalex.org/W2403311016","https://openalex.org/W4236173595","https://openalex.org/W4246053348","https://openalex.org/W6630919810"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W68308810","https://openalex.org/W1976022598","https://openalex.org/W2085792030","https://openalex.org/W2023142747","https://openalex.org/W1506615375","https://openalex.org/W2039128285","https://openalex.org/W2144408025","https://openalex.org/W4321517526","https://openalex.org/W1967182499"],"abstract_inverted_index":{"Single-trail":[0],"detection":[1],"of":[2,11,37,46,72,93],"P300":[3,41],"from":[4,27,54],"EEG":[5,28],"signals":[6],"is":[7,22,32,97,106],"the":[8,35],"main":[9],"challenge":[10],"diagnostic":[12],"purposes":[13],"and":[14,56,95],"research":[15],"applications.":[16],"In":[17],"this":[18],"article,":[19],"Wavelet":[20],"Transform":[21],"used":[23,69],"for":[24,70],"feature":[25,42,49],"extraction":[26,50],"signals.":[29],"The":[30,75],"goal":[31],"to":[33,99],"prove":[34],"capability":[36],"wavelet":[38,48],"transform":[39],"in":[40,83],"extraction.":[43],"A":[44],"number":[45],"established":[47],"methods":[51],"were":[52],"evaluated":[53],"accuracy":[55],"computation":[57,105],"speed":[58],"perspectives.":[59],"To":[60],"conduct":[61],"uniform":[62],"evaluation,":[63],"Support":[64],"Vector":[65],"Machine":[66],"(SVM)":[67],"was":[68],"classification":[71],"all":[73],"methods.":[74],"results":[76],"show":[77],"that":[78],"DWT":[79,94],"can":[80],"be":[81,100],"fast":[82],"computing":[84],"signal":[85],"features":[86],"with":[87],"lower":[88],"accuracy,":[89],"while":[90],"a":[91],"combination":[92],"T-CWT":[96],"proven":[98],"more":[101],"accurate":[102],"when":[103],"real-time":[104],"concerned.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
