{"id":"https://openalex.org/W2771911005","doi":"https://doi.org/10.1109/icat.2017.8171610","title":"Distinguishing physical actions using an artificial neural network","display_name":"Distinguishing physical actions using an artificial neural network","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771911005","doi":"https://doi.org/10.1109/icat.2017.8171610","mag":"2771911005"},"language":"en","primary_location":{"id":"doi:10.1109/icat.2017.8171610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icat.2017.8171610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","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/A5008237657","display_name":"Hana Sahinbegovic","orcid":"https://orcid.org/0000-0003-1042-9989"},"institutions":[{"id":"https://openalex.org/I51716468","display_name":"International Burch University","ror":"https://ror.org/040cm8d21","country_code":"BA","type":"education","lineage":["https://openalex.org/I51716468"]}],"countries":["BA"],"is_corresponding":false,"raw_author_name":"Hana Sahinbegovic","raw_affiliation_strings":["International Burch University, Sarajevo, Bosnia and Herzegovina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Burch University, Sarajevo, Bosnia and Herzegovina","institution_ids":["https://openalex.org/I51716468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010260960","display_name":"Laila Mu\u0161i\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I51716468","display_name":"International Burch University","ror":"https://ror.org/040cm8d21","country_code":"BA","type":"education","lineage":["https://openalex.org/I51716468"]}],"countries":["BA"],"is_corresponding":false,"raw_author_name":"Laila Music","raw_affiliation_strings":["International Burch University, Sarajevo, Bosnia and Herzegovina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Burch University, Sarajevo, Bosnia and Herzegovina","institution_ids":["https://openalex.org/I51716468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011894852","display_name":"Berina Ali\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I51716468","display_name":"International Burch University","ror":"https://ror.org/040cm8d21","country_code":"BA","type":"education","lineage":["https://openalex.org/I51716468"]}],"countries":["BA"],"is_corresponding":false,"raw_author_name":"Berina Alic","raw_affiliation_strings":["International Burch University, Sarajevo, Bosnia and Herzegovina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Burch University, Sarajevo, Bosnia and Herzegovina","institution_ids":["https://openalex.org/I51716468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51716468"],"apc_list":null,"apc_paid":null,"fwci":8.0843,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.97367304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9606000185012817,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7505978941917419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7156912684440613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728734970092773},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6140873432159424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5922631621360779},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5691044330596924},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.49081048369407654},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.43892258405685425},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.43445661664009094},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41128474473953247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38038599491119385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12603941559791565},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09042355418205261}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7505978941917419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156912684440613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728734970092773},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6140873432159424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5922631621360779},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5691044330596924},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.49081048369407654},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.43892258405685425},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.43445661664009094},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41128474473953247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38038599491119385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12603941559791565},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09042355418205261},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icat.2017.8171610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icat.2017.8171610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1481682164","https://openalex.org/W1692547776","https://openalex.org/W1874943741","https://openalex.org/W1970876195","https://openalex.org/W2004703660","https://openalex.org/W2042489038","https://openalex.org/W2087070363","https://openalex.org/W2099412517","https://openalex.org/W2115790233","https://openalex.org/W2122075006","https://openalex.org/W2126766093","https://openalex.org/W2184993267","https://openalex.org/W2465991274","https://openalex.org/W2478417379","https://openalex.org/W2480834379","https://openalex.org/W2482930638","https://openalex.org/W2485095404","https://openalex.org/W2489024410","https://openalex.org/W2496084757","https://openalex.org/W2596261552","https://openalex.org/W2596296002","https://openalex.org/W2752322585","https://openalex.org/W2986444355","https://openalex.org/W4300613869","https://openalex.org/W6637242377","https://openalex.org/W6719146765","https://openalex.org/W6722051724","https://openalex.org/W6734746819"],"related_works":["https://openalex.org/W1595652908","https://openalex.org/W2089093251","https://openalex.org/W2104714048","https://openalex.org/W2950022897","https://openalex.org/W2390775476","https://openalex.org/W2186233897","https://openalex.org/W2785001934","https://openalex.org/W2408618716","https://openalex.org/W2950917560","https://openalex.org/W2357447513"],"abstract_inverted_index":{"Analysis":[0],"of":[1,5,20,35,38,46,53,93,106,116,119,149,152,158],"electromyography":[2],"(EMG)":[3],"signals":[4],"normal":[6,65],"physical":[7],"actions":[8],"have":[9],"found":[10],"to":[11,16,50,61],"be":[12],"important":[13],"in":[14,27,96,121,139],"order":[15],"detect":[17],"certain":[18],"abnormalities":[19,26],"the":[21,33,36,51,130,143],"musculoskeletal":[22],"system":[23,125],"and":[24,76,114,146,151],"diagnose":[25],"patient":[28],"behavior.":[29,55],"This":[30],"paper":[31],"presents":[32],"results":[34],"development":[37],"an":[39],"Artificial":[40],"Neural":[41],"Network":[42],"(ANN)":[43],"for":[44],"classification":[45],"EMG":[47,97],"signals,":[48],"according":[49],"type":[52],"human":[54],"The":[56,155],"developed":[57,83,159],"ANN":[58,107],"is":[59,161],"able":[60],"distinguish":[62],"between":[63],"10":[64],"behaviors:":[66],"bowing,":[67],"clapping,":[68],"handshaking,":[69],"hugging,":[70],"jumping,":[71],"running,":[72],"sitting,":[73],"standing,":[74],"walking,":[75],"waving.":[77],"Feedforward":[78],"neural":[79,133],"network":[80,134],"architecture":[81,135],"was":[82,108,127],"using":[84,101,110],"dataset":[85],"from":[86],"UCI":[87],"Machine":[88],"Learning":[89],"Repository":[90],"database.":[91],"QPC":[92],"each":[94],"episode":[95],"signal":[98,103],"were":[99],"obtained":[100],"bispectrum":[102],"analysis.":[104],"Training":[105],"performed":[109],"k-fold":[111],"cross":[112],"validation":[113],"impact":[115],"different":[117],"number":[118],"neurons":[120,138],"hidden":[122,140],"layer":[123,141],"on":[124],"output":[126],"evaluated.":[128],"Finally,":[129],"single-layer,":[131],"feedforward":[132],"with":[136],"17":[137],"achieved":[142],"best":[144],"performance":[145],"had":[147],"sensitivity":[148],"86.67%":[150],"specificity":[153],"85.00%.":[154],"overall":[156],"accuracy":[157],"structure":[160],"86.25%.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}