{"id":"https://openalex.org/W7147206671","doi":"https://doi.org/10.1109/lascas67804.2026.11457106","title":"Ultra-Low-Power Approximate Discrete Haar Wavelet Transform for Muscle Fatigue Detection in sEMG Signal","display_name":"Ultra-Low-Power Approximate Discrete Haar Wavelet Transform for Muscle Fatigue Detection in sEMG Signal","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7147206671","doi":"https://doi.org/10.1109/lascas67804.2026.11457106"},"language":null,"primary_location":{"id":"doi:10.1109/lascas67804.2026.11457106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS)","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/A5060275476","display_name":"Henrique Seidel","orcid":"https://orcid.org/0000-0003-3638-837X"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Henrique Seidel","raw_affiliation_strings":["Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113091704","display_name":"Rodrigo Lopes","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Lopes","raw_affiliation_strings":["Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rafael Soares","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Soares","raw_affiliation_strings":["Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program on Computing - Federal University of Pelotas (UFPel),Pelotas,Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132594861","display_name":"Morgana M. A. da Rosa","orcid":null},"institutions":[{"id":"https://openalex.org/I110676245","display_name":"Universidade Cat\u00f3lica de Pelotas","ror":"https://ror.org/0376myh60","country_code":"BR","type":"education","lineage":["https://openalex.org/I110676245"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Morgana M. A. da Rosa","raw_affiliation_strings":["Graduate Program on Electronic Engineering and Computing - Catholic University of Pelotas (UCPel),Pelotas,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program on Electronic Engineering and Computing - Catholic University of Pelotas (UCPel),Pelotas,Brazil","institution_ids":["https://openalex.org/I110676245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047167568","display_name":"Eduardo F. Costa","orcid":"https://orcid.org/0000-0002-9067-9234"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]},{"id":"https://openalex.org/I94328231","display_name":"University of Rio Grande and Rio Grande Community College","ror":"https://ror.org/02sghbs34","country_code":"US","type":"education","lineage":["https://openalex.org/I94328231"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Eduardo da Costa","raw_affiliation_strings":["Graduate Program on Computing - Federal University of Rio Grande (FURG),Rio Grande,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program on Computing - Federal University of Rio Grande (FURG),Rio Grande,Brazil","institution_ids":["https://openalex.org/I94328231","https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060275476"],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75496452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7641000151634216,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.7641000151634216,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.19779999554157257,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/haar-wavelet","display_name":"Haar wavelet","score":0.732699990272522},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.578000009059906},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5529999732971191},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5030999779701233},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.4936999976634979},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.46720001101493835},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44920000433921814},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4465999901294708},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4228000044822693}],"concepts":[{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.732699990272522},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.578000009059906},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5529999732971191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250999927520752},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5019000172615051},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.4936999976634979},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.46720001101493835},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39809998869895935},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.376800000667572},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.36890000104904175},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.33399999141693115},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.314300000667572},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.3122999966144562},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.2858000099658966},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas67804.2026.11457106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7523119449615479,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2005865544","https://openalex.org/W2028357814","https://openalex.org/W2044628302","https://openalex.org/W2090768274","https://openalex.org/W2126044301","https://openalex.org/W2132984323","https://openalex.org/W2135089667","https://openalex.org/W2150221351","https://openalex.org/W2347610951","https://openalex.org/W2592472742","https://openalex.org/W2799623430","https://openalex.org/W2901177837","https://openalex.org/W2914618410","https://openalex.org/W3101451807","https://openalex.org/W3133087211","https://openalex.org/W3158047420","https://openalex.org/W3196589408","https://openalex.org/W4223894629","https://openalex.org/W4313250823","https://openalex.org/W4366251017","https://openalex.org/W4389765535","https://openalex.org/W4390693379","https://openalex.org/W4392235836","https://openalex.org/W4395695149","https://openalex.org/W4399526532","https://openalex.org/W4405598767"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"ultra-low-power":[4],"hardware":[5],"architecture":[6],"for":[7,65],"muscle":[8,45,66,96,127],"fatigue":[9,67,97],"detection":[10],"based":[11],"on":[12],"the":[13,50,92,95,110,113,117,123],"discrete":[14,29],"Haar":[15],"Wavelet":[16,30],"transform":[17,31],"(DHWT).":[18],"Surface":[19],"electromyography":[20],"(sEMG)":[21],"signals":[22],"are":[23,63],"processed":[24],"using":[25],"a":[26],"4-level":[27],"(D4)":[28],"(DWT)":[32],"to":[33,125],"extract":[34],"mean":[35],"(MNF)":[36],"and":[37,54,87,104,119],"median":[38],"(MDF)":[39],"frequency":[40],"features,":[41],"key":[42],"indicators":[43],"of":[44,52,94],"fatigue.":[46,128],"Our":[47],"DHWT":[48,71],"explores":[49],"techniques":[51],"pruning":[53,57],"approximation.":[55],"The":[56,69,89,107],"eliminates":[58],"redundant":[59],"arithmetic":[60],"modules":[61],"that":[62],"unimportant":[64],"detection.":[68],"approximation":[70],"(ADHWT)":[72],"replaces":[73],"conventional":[74],"adders":[75,78],"with":[76,109],"approximate":[77],"(AxAs),":[79],"such":[80],"as":[81],"COPY,":[82],"ETA-I,":[83],"LOA,":[84],"Truncation":[85],"(TRUNC),":[86],"AxPPA.":[88],"ADHWT":[90,108],"maintains":[91],"effectiveness":[93],"detection,":[98],"while":[99],"significantly":[100],"saving":[101],"96.01%":[102],"energy":[103],"94.16%":[105],"area.":[106],"AxPPA":[111],"represents":[112],"best":[114],"trade-off":[115],"between":[116],"energy-":[118],"area-savings":[120],"versus":[121],"maintaining":[122],"ability":[124],"detect":[126]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-04-02T00:00:00"}