{"id":"https://openalex.org/W2278883793","doi":"https://doi.org/10.1109/reconfig.2015.7393312","title":"FPGA-based acceleration of high density myoelectric signal processing","display_name":"FPGA-based acceleration of high density myoelectric signal processing","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2278883793","doi":"https://doi.org/10.1109/reconfig.2015.7393312","mag":"2278883793"},"language":"en","primary_location":{"id":"doi:10.1109/reconfig.2015.7393312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/reconfig.2015.7393312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","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/A5074588400","display_name":"Alexander Boschmann","orcid":"https://orcid.org/0000-0003-4973-0525"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Boschmann","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026568067","display_name":"Andreas Agne","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Agne","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060836254","display_name":"Linus Witschen","orcid":"https://orcid.org/0000-0001-9513-5730"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Linus Witschen","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059168067","display_name":"Georg Thombansen","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg Thombansen","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020065384","display_name":"Florian Kraus","orcid":"https://orcid.org/0000-0003-4368-8418"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Kraus","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069368714","display_name":"Marco Platzner","orcid":"https://orcid.org/0000-0002-6893-063X"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Platzner","raw_affiliation_strings":["Department of Computer Science, University of Paderborn, Paderborn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4553,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81752201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719789445400238},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7125785946846008},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6810451745986938},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6513656973838806},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6511131525039673},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5100908875465393},{"id":"https://openalex.org/keywords/millisecond","display_name":"Millisecond","score":0.469733327627182},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45731446146965027},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4503912627696991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4362643361091614},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4287245273590088},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38017135858535767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35312336683273315},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2720643877983093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719789445400238},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7125785946846008},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6810451745986938},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6513656973838806},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6511131525039673},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5100908875465393},{"id":"https://openalex.org/C60327585","wikidata":"https://www.wikidata.org/wiki/Q723733","display_name":"Millisecond","level":2,"score":0.469733327627182},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45731446146965027},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4503912627696991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4362643361091614},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4287245273590088},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38017135858535767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35312336683273315},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2720643877983093},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/reconfig.2015.7393312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/reconfig.2015.7393312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1727552420","https://openalex.org/W1969081222","https://openalex.org/W1991397260","https://openalex.org/W1995783993","https://openalex.org/W2002116021","https://openalex.org/W2014373692","https://openalex.org/W2019889305","https://openalex.org/W2025683492","https://openalex.org/W2054538394","https://openalex.org/W2080716911","https://openalex.org/W2107971525","https://openalex.org/W2123167643","https://openalex.org/W2126328541","https://openalex.org/W2133530044","https://openalex.org/W2136093989","https://openalex.org/W2138967075","https://openalex.org/W2148268262","https://openalex.org/W2152093652","https://openalex.org/W2165619603","https://openalex.org/W2166060802","https://openalex.org/W2171188488","https://openalex.org/W2331849848","https://openalex.org/W4239875977","https://openalex.org/W6678904399","https://openalex.org/W6680574743"],"related_works":["https://openalex.org/W2368158069","https://openalex.org/W2129058931","https://openalex.org/W2074671889","https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W2489894763","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2316202402","https://openalex.org/W2142320339"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"advances":[3],"in":[4,59],"electromyographic":[5],"(EMG)":[6],"sensor":[7],"technology":[8],"and":[9,46,147],"machine":[10],"learning":[11],"algorithms":[12],"have":[13],"led":[14],"to":[15,86,97,117,156],"an":[16,36,49],"increased":[17],"research":[18],"effort":[19],"into":[20],"high":[21],"density":[22],"EMG":[23,51,93],"based":[24],"pattern":[25],"recognition":[26],"methods":[27],"for":[28,143,149],"prosthesis":[29,39,88],"control.":[30],"With":[31],"the":[32,53,60,63,69,112,131,134,150],"goal":[33],"set":[34],"on":[35,130],"autonomous":[37],"multi-movement":[38],"that":[40,83],"is":[41,84,115],"capable":[42],"of":[43,48,55,62,105,125,133,141],"performing":[44],"training":[45,119],"classification":[47],"amputee's":[50],"signals,":[52],"focus":[54],"this":[56],"paper":[57],"lies":[58],"acceleration":[61,132],"embedded":[64],"signal":[65],"processing":[66,77,103,152],"chain.":[67],"Using":[68],"Xilinx":[70],"Zynq":[71],"as":[72,120,122,154],"a":[73,81,101,108,139,157],"low-cost":[74],"off-the-shelf":[75],"reconfigurable":[76],"platform,":[78],"we":[79],"present":[80],"solution":[82],"able":[85,116],"compute":[87],"control":[89],"signals":[90],"from":[91],"multi-channel":[92],"input":[94],"with":[95,100],"up":[96],"256":[98],"channels":[99],"maximum":[102],"delay":[104],"less":[106],"than":[107],"single":[109],"millisecond.":[110],"While":[111],"presented":[113],"system":[114],"perform":[118],"well":[121],"classification,":[123],"most":[124],"our":[126],"efforts":[127],"were":[128],"focused":[129],"feature":[135,144],"extraction":[136,145],"units,":[137],"achieving":[138],"speed-up":[140],"6.7":[142],"alone,":[146],"4.8":[148],"total":[151],"time":[153],"compared":[155],"software":[158],"only":[159],"solution.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}