{"id":"https://openalex.org/W2908107688","doi":"https://doi.org/10.1109/icsens.2018.8589757","title":"Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model","display_name":"Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2908107688","doi":"https://doi.org/10.1109/icsens.2018.8589757","mag":"2908107688"},"language":"en","primary_location":{"id":"doi:10.1109/icsens.2018.8589757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2018.8589757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE SENSORS","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/A5059589952","display_name":"Anand Kumar Mukhopadhyay","orcid":"https://orcid.org/0000-0002-6535-1085"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anand Kumar Mukhopadhyay","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, West Bengal"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, West Bengal","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003667123","display_name":"Indrajit Chakrabarti","orcid":"https://orcid.org/0000-0003-4744-2132"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Indrajit Chakrabarti","raw_affiliation_strings":["Indian Institute of Technology Delhi, New Delhi, Delhi, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi, New Delhi, Delhi, IN","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019643842","display_name":"Mrigank Sharad","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrigank Sharad","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, West Bengal"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, West Bengal","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059589952"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.3269,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.58423706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9984999895095825,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7623119354248047},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7313255071640015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.697607696056366},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5545623302459717},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5421363711357117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5055482387542725},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41717061400413513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37895432114601135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623119354248047},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7313255071640015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.697607696056366},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5545623302459717},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5421363711357117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5055482387542725},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41717061400413513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37895432114601135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsens.2018.8589757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2018.8589757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W2002499457","https://openalex.org/W2013463953","https://openalex.org/W2106526692","https://openalex.org/W2122612627","https://openalex.org/W2125585124","https://openalex.org/W2158728671","https://openalex.org/W2165619603","https://openalex.org/W2506721812","https://openalex.org/W2561981131","https://openalex.org/W2587844882","https://openalex.org/W6733431486"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2920832517","https://openalex.org/W4388827557","https://openalex.org/W4387877594","https://openalex.org/W4377969828","https://openalex.org/W2157096345"],"abstract_inverted_index":{"Real-time":[0],"classification":[1,72],"of":[2,11,46,91],"the":[3,9,44,75,84],"myoelectric":[4],"signal":[5],"has":[6],"applications":[7],"in":[8,89],"field":[10],"neuro-rehabilitation":[12],"systems":[13],"such":[14],"as":[15],"prosthesis.":[16],"The":[17,56],"classifier":[18],"which":[19],"is":[20,87],"a":[21,39,47,62,66],"human-computer-interaction":[22],"(HCI)":[23],"controller":[24],"should":[25],"be":[26],"ideally":[27],"fast":[28],"and":[29,69,77,97],"computationally":[30],"less":[31],"intensive.":[32],"In":[33],"this":[34],"work,":[35],"we":[36],"have":[37],"done":[38],"simulation-based":[40],"study":[41],"to":[42,64],"estimate":[43],"performance":[45],"deep":[48],"artificial/spiking":[49],"neural":[50],"network":[51],"(ANN)":[52],"model":[53,57],"for":[54,61],"classification.":[55],"parameters":[58,99],"are":[59],"tuned":[60],"subject":[63],"get":[65],"93.33":[67],"%":[68,71],"89.39":[70],"accuracy":[73],"using":[74],"ANN":[76],"SNN":[78],"classifiers":[79,86],"respectively.":[80],"A":[81],"comparison":[82],"between":[83],"two":[85],"studied":[88],"terms":[90],"computational":[92],"complexity,":[93],"external":[94],"noise":[95],"effect":[96],"trained":[98],"approximation.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-02-13T13:36:01.753593","created_date":"2025-10-10T00:00:00"}
