{"id":"https://openalex.org/W2994627998","doi":"https://doi.org/10.1080/21681163.2019.1673212","title":"Electroencephalography applied compression algorithms qualitative analysis","display_name":"Electroencephalography applied compression algorithms qualitative analysis","publication_year":2019,"publication_date":"2019-12-17","ids":{"openalex":"https://openalex.org/W2994627998","doi":"https://doi.org/10.1080/21681163.2019.1673212","mag":"2994627998"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2019.1673212","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2019.1673212","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5054518010","display_name":"A. Saraiva","orcid":"https://orcid.org/0000-0002-3960-697X"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Arat\u00e3 Andrade Saraiva","raw_affiliation_strings":["University of Tr\u00e1s-os-Montes and Alto Douro (UTAD)"],"affiliations":[{"raw_affiliation_string":"University of Tr\u00e1s-os-Montes and Alto Douro (UTAD)","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081934296","display_name":"Felipe Miranda de Jesus Castro","orcid":"https://orcid.org/0000-0002-7751-9455"},"institutions":[{"id":"https://openalex.org/I3123346794","display_name":"Universidade Estadual do Piau\u00ed","ror":"https://ror.org/02na6tz09","country_code":"BR","type":"education","lineage":["https://openalex.org/I3123346794"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Felipe Miranda de Jesus Castro","raw_affiliation_strings":["Universidade Estadual do Piau\u00ed"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual do Piau\u00ed","institution_ids":["https://openalex.org/I3123346794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029388713","display_name":"Renato Concei\u00e7\u00e3o Nascimento","orcid":"https://orcid.org/0000-0002-8140-5979"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renato Concei\u00e7\u00e3o Nascimento","raw_affiliation_strings":["https://orcid.org/0000-0002-8140-5979"],"affiliations":[{"raw_affiliation_string":"https://orcid.org/0000-0002-8140-5979","institution_ids":["https://openalex.org/I113979032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544645","display_name":"Rodrigo Melo","orcid":"https://orcid.org/0000-0002-9124-4662"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rodrigo Teixeira de Melo","raw_affiliation_strings":["https://orcid.org/0000-0002-9124-4662"],"affiliations":[{"raw_affiliation_string":"https://orcid.org/0000-0002-9124-4662","institution_ids":["https://openalex.org/I113979032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038053061","display_name":"Jose Sousa","orcid":"https://orcid.org/0000-0002-5164-360X"},"institutions":[{"id":"https://openalex.org/I3123346794","display_name":"Universidade Estadual do Piau\u00ed","ror":"https://ror.org/02na6tz09","country_code":"BR","type":"education","lineage":["https://openalex.org/I3123346794"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Vigno Moura Sousa","raw_affiliation_strings":["Universidade Estadual do Piau\u00ed"],"affiliations":[{"raw_affiliation_string":"Universidade Estadual do Piau\u00ed","institution_ids":["https://openalex.org/I3123346794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035632347","display_name":"Ant\u00f3nio Valente","orcid":"https://orcid.org/0000-0002-5798-1298"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Antonio Valente","raw_affiliation_strings":["University of Tr\u00e1s-os-Montes and Alto Douro (UTAD)"],"affiliations":[{"raw_affiliation_string":"University of Tr\u00e1s-os-Montes and Alto Douro (UTAD)","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009025941","display_name":"N. M. Fonseca Ferreira","orcid":"https://orcid.org/0000-0002-2204-6339"},"institutions":[{"id":"https://openalex.org/I293362453","display_name":"Polytechnic Institute of Coimbra","ror":"https://ror.org/01n8x4993","country_code":"PT","type":"education","lineage":["https://openalex.org/I293362453"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Miguel Fonseca Ferreira","raw_affiliation_strings":["Coimbra Polytechnic \u2013 ISEC"],"affiliations":[{"raw_affiliation_string":"Coimbra Polytechnic \u2013 ISEC","institution_ids":["https://openalex.org/I293362453"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5081934296"],"corresponding_institution_ids":["https://openalex.org/I3123346794"],"apc_list":null,"apc_paid":null,"fwci":0.483,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70065541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":"4","first_page":"367","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9959999918937683,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9944999814033508,"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":0.9912999868392944,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7947382926940918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6154786348342896},{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.6071023344993591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5900056958198547},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.530665934085846},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5227458477020264},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5001249313354492},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4890797734260559},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.48861128091812134},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4762047529220581},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4412969946861267},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4284559488296509},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3856349289417267},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.33094489574432373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29577967524528503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26764702796936035},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1866309642791748},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07998931407928467}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7947382926940918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6154786348342896},{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.6071023344993591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5900056958198547},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.530665934085846},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5227458477020264},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5001249313354492},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4890797734260559},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.48861128091812134},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4762047529220581},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4412969946861267},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4284559488296509},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3856349289417267},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.33094489574432373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29577967524528503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26764702796936035},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1866309642791748},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07998931407928467},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2019.1673212","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2019.1673212","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W106636645","https://openalex.org/W1134627706","https://openalex.org/W1510056001","https://openalex.org/W1877153489","https://openalex.org/W1972269696","https://openalex.org/W2008079820","https://openalex.org/W2077934009","https://openalex.org/W2110657911","https://openalex.org/W2557311168","https://openalex.org/W2568858846","https://openalex.org/W2734974050","https://openalex.org/W2759028323","https://openalex.org/W2791173649","https://openalex.org/W2792074924","https://openalex.org/W2921624913","https://openalex.org/W3008226778","https://openalex.org/W4240205325"],"related_works":["https://openalex.org/W2161151009","https://openalex.org/W2111723305","https://openalex.org/W3029188025","https://openalex.org/W3112580190","https://openalex.org/W1766746890","https://openalex.org/W2382774718","https://openalex.org/W3135878264","https://openalex.org/W3191789084","https://openalex.org/W3194926829","https://openalex.org/W3120229597"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,10,25,56,86,93,98,106,110,132,134,150,157,162,164],"this":[3,173],"work":[4],"is":[5,82],"study,":[6],"implementation":[7,85,92],"and":[8,36,54,76,102,108,119,142,159],"evaluation":[9,133],"compression":[11,88,170],"techniques":[12],"used":[13],"in":[14,42,121,130],"bioelectrical":[15],"signals,":[16],"applied":[17],"to":[18,63,68],"electroencephalography.":[19],"For":[20,90],"that,":[21],"the":[22,31,37,44,52,60,84,87,91,94,104,111,116,122,127,140,143,151,154,160,165,169],"fundamental":[23],"concepts":[24],"Fast":[26],"Walsh":[27],"Hadamard":[28],"Transform":[29,34,40],"(FWHT),":[30],"Discrete":[32,38],"Cosine":[33],"(DCT)":[35],"Wavelet":[39],"(DWT),":[41],"essence,":[43],"mathematical":[45],"models":[46],"were":[47,58,100,113],"studied.":[48],"In":[49,172],"these":[50,125],"systems,":[51],"applicability":[53],"principles":[55],"operation":[57],"considered":[59],"Peak":[61],"Signal":[62,67],"Noise":[64,69],"Ratio":[65,70],"(PSNR),":[66],"(SNR),":[71],"Mean":[72],"Absolute":[73],"Error":[74],"(MAE)":[75],"mean":[77],"squared":[78],"error.":[79],"Later,":[80],"it":[81,175],"proposed":[83],"algorithms.":[89],"techniques,":[95],"computational":[96],"tools":[97],"tests":[99],"developed,":[101],"for":[103],"purposes":[105],"validation":[107],"comparison":[109],"results":[112,141],"used,":[114],"with":[115],"appropriate":[117],"adaptations,":[118],"described":[120],"work,":[123],"being":[124],"among":[126],"most":[128],"recognised":[129],"terms":[131],"signal":[135,166],"quality.":[136],"Finally,":[137],"we":[138,146],"present":[139],"conclusions,":[144],"where":[145],"sought":[147],"a":[148],"compromise":[149],"implementations":[152],"between":[153],"estimated":[155],"percentage":[156],"DCT":[158],"level":[161],"degradation":[163],"provided":[167],"by":[168],"application.":[171],"sense,":[174],"was":[176],"verified":[177],"that":[178],"they":[179],"presented":[180],"satisfactory":[181],"results.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}