{"id":"https://openalex.org/W2755083875","doi":"https://doi.org/10.1109/embc.2017.8037372","title":"Entropy of surface EMG reflects object weight in grasp-and-lift task","display_name":"Entropy of surface EMG reflects object weight in grasp-and-lift task","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755083875","doi":"https://doi.org/10.1109/embc.2017.8037372","mag":"2755083875","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060414"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Entropy_of_surface_EMG_reflects_object_weight_in_grasp-and-lift_task/27336693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030616168","display_name":"Yuqi Li","orcid":"https://orcid.org/0000-0003-0228-242X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuqi Li","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025470623","display_name":"Beth Jelfs","orcid":"https://orcid.org/0000-0002-6844-7154"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Beth Jelfs","raw_affiliation_strings":["Centre for Biosystems, Neuroscience, Nanotechnology (CBNN), City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Biosystems, Neuroscience, Nanotechnology (CBNN), City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010836514","display_name":"Rosa H. M. Chan","orcid":"https://orcid.org/0000-0003-4808-2490"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rosa H.M. Chan","raw_affiliation_strings":["Centre for Biosystems, Neuroscience, Nanotechnology (CBNN), City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Biosystems, Neuroscience, Nanotechnology (CBNN), City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2530","last_page":"2533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.995199978351593,"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/grasp","display_name":"GRASP","score":0.8881731033325195},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6415820121765137},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.6332412958145142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095770597457886},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5944981575012207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5883621573448181},{"id":"https://openalex.org/keywords/isometric-exercise","display_name":"Isometric exercise","score":0.5293294191360474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5142807364463806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3869534730911255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26324617862701416},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.13238677382469177}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8881731033325195},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6415820121765137},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.6332412958145142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095770597457886},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5944981575012207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5883621573448181},{"id":"https://openalex.org/C103486182","wikidata":"https://www.wikidata.org/wiki/Q1216236","display_name":"Isometric exercise","level":2,"score":0.5293294191360474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5142807364463806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3869534730911255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26324617862701416},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.13238677382469177},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005385","descriptor_name":"Fingers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018737","descriptor_name":"Hand Strength","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2017.8037372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060414","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060414","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:alma.61RMIT_INST:11247967000001341","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/8037372/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27336693","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Entropy_of_surface_EMG_reflects_object_weight_in_grasp-and-lift_task/27336693","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27336693","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Entropy_of_surface_EMG_reflects_object_weight_in_grasp-and-lift_task/27336693","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1529072761","https://openalex.org/W2008437881","https://openalex.org/W2009026445","https://openalex.org/W2044628302","https://openalex.org/W2055442583","https://openalex.org/W2103403570","https://openalex.org/W2134478553","https://openalex.org/W2144420028","https://openalex.org/W2152835673","https://openalex.org/W2154053567","https://openalex.org/W2167487311","https://openalex.org/W2327450850","https://openalex.org/W2533726396","https://openalex.org/W3100974552","https://openalex.org/W3148545908","https://openalex.org/W4235667863","https://openalex.org/W6631656459"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2322261446","https://openalex.org/W2017681254","https://openalex.org/W2423632980"],"abstract_inverted_index":{"Fingertip":[0],"force":[1,43],"coordination":[2],"is":[3,33],"crucial":[4],"to":[5,22,37],"the":[6,12,20,25,54,97,103],"success":[7],"of":[8,14,50,57,71,94],"grasp-and-lift":[9,27,89],"tasks.":[10,90],"In":[11,35],"development":[13],"motor":[15],"prosthesis":[16],"for":[17,41,53],"daily":[18],"applications,":[19],"ability":[21],"accurately":[23],"classify":[24,85],"desired":[26],"from":[28,79],"multi-channel":[29],"surface":[30],"electromyography":[31],"(sEMG)":[32],"essential.":[34],"order":[36],"extract":[38],"reliable":[39],"indicators":[40],"fingertip":[42],"coordination,":[44],"we":[45,66],"searched":[46],"an":[47],"extensive":[48],"set":[49],"sEMG":[51,76,110],"features":[52,77,111,124],"optimal":[55],"subset":[56,70],"relevant":[58],"features.":[59],"Using":[60],"mutual":[61],"information":[62],"based":[63],"feature":[64],"selection":[65],"found":[67],"that":[68],"a":[69],"not":[72],"more":[73],"than":[74],"10":[75],"selected":[78],"over":[80],"seven":[81],"thousand,":[82],"could":[83],"effectively":[84],"object":[86,114],"weights":[87,115],"in":[88,96,102],"Average":[91],"classification":[92],"accuracies":[93],"82.53%":[95],"acceleration":[98],"phase":[99,106],"and":[100,116],"88.61%":[101],"isometric":[104],"contraction":[105],"were":[107,120],"achieved.":[108],"Furthermore,":[109],"associated":[112],"with":[113],"common":[117],"across":[118],"individuals":[119],"identified.":[121],"These":[122],"time-domain":[123],"(entropy,":[125],"mean/median":[126],"absolute":[127],"deviation,":[128],"pNNx)":[129],"can":[130],"be":[131],"calculated":[132],"efficiently,":[133],"providing":[134],"possible":[135],"new":[136],"indicators.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
