{"id":"https://openalex.org/W3171329220","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443545","title":"Compensating for Electrode Contact Failures in Chronic Selective Nerve Cuff Recordings: A Simulation Study","display_name":"Compensating for Electrode Contact Failures in Chronic Selective Nerve Cuff Recordings: A Simulation Study","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3171329220","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443545","mag":"3171329220"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://utoronto.scholaris.ca/bitstreams/0ea12855-7f93-4b07-9f92-3f8119c589ee/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040454690","display_name":"Stephen Sammut","orcid":null},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stephen Sammut","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada","KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029768558","display_name":"Ryan G. L. Koh","orcid":"https://orcid.org/0000-0001-8662-1008"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ryan G. L. Koh","raw_affiliation_strings":["KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048203934","display_name":"Jos\u00e9 Zariffa","orcid":"https://orcid.org/0000-0002-8842-745X"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jose Zariffa","raw_affiliation_strings":["Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada","KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada","Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"KITE, Toronto Rehab, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]},{"raw_affiliation_string":"Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750","https://openalex.org/I2799838188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45142857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"366","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":1.0,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560310125350952},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.5489721894264221},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.5064374208450317},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4788820147514343},{"id":"https://openalex.org/keywords/electrode","display_name":"Electrode","score":0.4750352203845978},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4739786982536316},{"id":"https://openalex.org/keywords/sciatic-nerve","display_name":"Sciatic nerve","score":0.4264029860496521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36129191517829895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.348466694355011},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.23352709412574768},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14463835954666138},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.09873268008232117},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.07829546928405762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560310125350952},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.5489721894264221},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.5064374208450317},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4788820147514343},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.4750352203845978},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4739786982536316},{"id":"https://openalex.org/C2781149210","wikidata":"https://www.wikidata.org/wiki/Q307869","display_name":"Sciatic nerve","level":2,"score":0.4264029860496521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36129191517829895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.348466694355011},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.23352709412574768},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14463835954666138},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.09873268008232117},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.07829546928405762},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:utoronto.scholaris.ca:1807/126180","is_oa":true,"landing_page_url":"http://hdl.handle.net/1807/126180","pdf_url":"https://utoronto.scholaris.ca/bitstreams/0ea12855-7f93-4b07-9f92-3f8119c589ee/download","source":{"id":"https://openalex.org/S4306400261","display_name":"TSpace (University of Toronto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185261750","host_organization_name":"University of Toronto","host_organization_lineage":["https://openalex.org/I185261750"],"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 Paper"}],"best_oa_location":{"id":"pmh:oai:utoronto.scholaris.ca:1807/126180","is_oa":true,"landing_page_url":"http://hdl.handle.net/1807/126180","pdf_url":"https://utoronto.scholaris.ca/bitstreams/0ea12855-7f93-4b07-9f92-3f8119c589ee/download","source":{"id":"https://openalex.org/S4306400261","display_name":"TSpace (University of Toronto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185261750","host_organization_name":"University of Toronto","host_organization_lineage":["https://openalex.org/I185261750"],"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 Paper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1749632606","display_name":null,"funder_award_id":"RGPIN-2014","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G2271590008","display_name":null,"funder_award_id":"RGPIN 2020","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7107124846","display_name":null,"funder_award_id":"06246","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7210389790","display_name":null,"funder_award_id":"RGPIN-2014-05498","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7480914896","display_name":"Systems for control and evaluation of advanced assistive technologies","funder_award_id":"rgpin-2020-06246","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320308611","display_name":"Health Research","ror":"https://ror.org/059qgvg50"},{"id":"https://openalex.org/F4320321074","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976"},{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3171329220.pdf","grobid_xml":"https://content.openalex.org/works/W3171329220.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W238596353","https://openalex.org/W1979315024","https://openalex.org/W2003170314","https://openalex.org/W2008510933","https://openalex.org/W2060718012","https://openalex.org/W2134500330","https://openalex.org/W2155568304","https://openalex.org/W2163710888","https://openalex.org/W2165067332","https://openalex.org/W2529638002","https://openalex.org/W2552858942","https://openalex.org/W2561050947","https://openalex.org/W2735779463","https://openalex.org/W2770125713","https://openalex.org/W2890122878","https://openalex.org/W2913564854","https://openalex.org/W2979246081","https://openalex.org/W3105066977","https://openalex.org/W6651013380","https://openalex.org/W6786038834"],"related_works":["https://openalex.org/W2915014248","https://openalex.org/W2741584823","https://openalex.org/W4293226380","https://openalex.org/W2389047899","https://openalex.org/W2370664284","https://openalex.org/W2070466256","https://openalex.org/W2020121418","https://openalex.org/W2115480564","https://openalex.org/W3151417086","https://openalex.org/W3119989099"],"abstract_inverted_index":{"Peripheral":[0],"nerve":[1,40,120,122],"interfaces":[2],"(PNIs)":[3],"can":[4,195],"extract":[5],"motor,":[6],"sensory":[7],"and":[8,22,121,162],"autonomic":[9],"information":[10],"from":[11,38],"the":[12,26,69,78,88,135,148,191],"nervous":[13],"system":[14],"for":[15,177],"use":[16],"as":[17,43],"control":[18],"signals":[19],"in":[20,59,77,84,105,128,144,181],"neuroprosthetic":[21],"neuromodulation":[23],"systems.":[24],"Recently,":[25],"recording":[27,75,107,138,193],"selectivity":[28],"of":[29,71,80,90,102,116,134,190],"PNIs":[30],"has":[31],"been":[32],"improved":[33],"by":[34,110],"using":[35,111,178],"spatiotemporal":[36],"patterns":[37],"multi-contact":[39],"cuff":[41,123],"electrodes":[42],"inputs":[44],"to":[45,54,94],"convolutional":[46],"neural":[47],"networks":[48],"(CNNs).":[49],"Before":[50],"translating":[51],"this":[52,103],"methodology":[53],"human":[55],"applications,":[56],"its":[57],"performance":[58,70,133,197],"chronic":[60,85,106],"implantation":[61],"scenarios":[62],"must":[63],"be":[64,174],"evaluated.":[65],"Here,":[66],"we":[67],"investigated":[68],"a":[72,81,117,163],"CNN-based":[73,136],"selective":[74,137,192],"approach":[76,139],"presence":[79],"potential":[82],"issue":[83,104],"recording,":[86],"namely":[87],"loss":[89],"electrode":[91,95,170],"contacts":[92,127],"due":[93],"or":[96],"lead":[97],"malfunction":[98],"over":[99,140,198],"time.":[100,199],"Simulation":[101],"was":[108,142],"achieved":[109],"anatomically":[112],"accurate":[113],"computational":[114],"models":[115],"rat":[118],"sciatic":[119],"electrode,":[124],"then":[125],"removing":[126],"three":[129,145],"geometric":[130],"patterns.":[131],"The":[132],"time":[141],"examined":[143],"conditions:":[146],"training":[147],"CNN":[149],"at":[150,159],"baseline":[151],"only,":[152],"supervised":[153],"re-training":[154],"with":[155,187],"explicitly":[156],"labeled":[157],"data":[158,179],"periodic":[160,188],"intervals,":[161],"semi-supervised":[164],"self-learning":[165],"approach.":[166],"Results":[167],"demonstrated":[168],"that":[169],"contact":[171],"failure":[172],"could":[173],"effectively":[175],"compensated":[176],"interpolation,":[180],"most":[182],"cases.":[183],"Additionally,":[184],"coupling":[185],"interpolation":[186],"recalibration":[189],"algorithm":[194],"maintain":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
