{"id":"https://openalex.org/W2900139838","doi":"https://doi.org/10.1145/3240765.3240794","title":"Design and optimization of edge computing distributed neural processor for biomedical rehabilitation with sensor fusion","display_name":"Design and optimization of edge computing distributed neural processor for biomedical rehabilitation with sensor fusion","publication_year":2018,"publication_date":"2018-11-05","ids":{"openalex":"https://openalex.org/W2900139838","doi":"https://doi.org/10.1145/3240765.3240794","mag":"2900139838"},"language":"en","primary_location":{"id":"doi:10.1145/3240765.3240794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3240794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","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/A5016642677","display_name":"Kofi Otseidu","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kofi Otseidu","raw_affiliation_strings":["Northwestern University","Department of EECS, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":"Department of EECS, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088551028","display_name":"Tianyu Jia","orcid":"https://orcid.org/0000-0002-4570-4613"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyu Jia","raw_affiliation_strings":["Northwestern University","Department of EECS, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":"Department of EECS, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035950587","display_name":"Joshua Bryne","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Bryne","raw_affiliation_strings":["Northwestern University","Department of EECS, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":"Department of EECS, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018478365","display_name":"Levi J. Hargrove","orcid":"https://orcid.org/0000-0002-1705-0050"},"institutions":[{"id":"https://openalex.org/I1324242722","display_name":"Shirley Ryan AbilityLab","ror":"https://ror.org/02ja0m249","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1324242722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levi Hargrove","raw_affiliation_strings":["Shirley Ryan Ability Lab","Shirley Ryan Ability Lab, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Shirley Ryan Ability Lab","institution_ids":["https://openalex.org/I1324242722"]},{"raw_affiliation_string":"Shirley Ryan Ability Lab, Chicago, IL, USA","institution_ids":["https://openalex.org/I1324242722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005991726","display_name":"Jie Gu","orcid":"https://orcid.org/0000-0003-2912-7294"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Gu","raw_affiliation_strings":["Northwestern University","Department of EECS, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":"Department of EECS, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016642677"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.5351,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.59831639,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9995999932289124,"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":0.9995999932289124,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9933000206947327,"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":0.7175201177597046},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6338782906532288},{"id":"https://openalex.org/keywords/microprocessor","display_name":"Microprocessor","score":0.5931435227394104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49015340209007263},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.47245123982429504},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43135982751846313},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.36583828926086426},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.324779748916626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2490932047367096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175201177597046},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6338782906532288},{"id":"https://openalex.org/C2780728072","wikidata":"https://www.wikidata.org/wiki/Q5297","display_name":"Microprocessor","level":2,"score":0.5931435227394104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49015340209007263},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.47245123982429504},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43135982751846313},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.36583828926086426},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.324779748916626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2490932047367096}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240765.3240794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240765.3240794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer-Aided Design","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":21,"referenced_works":["https://openalex.org/W1568584196","https://openalex.org/W1914429872","https://openalex.org/W1994929748","https://openalex.org/W2046210029","https://openalex.org/W2064904892","https://openalex.org/W2066327120","https://openalex.org/W2088350283","https://openalex.org/W2093185395","https://openalex.org/W2124475772","https://openalex.org/W2144371247","https://openalex.org/W2169931829","https://openalex.org/W2333529830","https://openalex.org/W2416799949","https://openalex.org/W2510028875","https://openalex.org/W2568772110","https://openalex.org/W2588522141","https://openalex.org/W2735653450","https://openalex.org/W2743190990","https://openalex.org/W2945997721","https://openalex.org/W3099514111","https://openalex.org/W3122025319"],"related_works":["https://openalex.org/W39373273","https://openalex.org/W2098026815","https://openalex.org/W2387235933","https://openalex.org/W2979760315","https://openalex.org/W4324372666","https://openalex.org/W2096194201","https://openalex.org/W4225706866","https://openalex.org/W4386004629","https://openalex.org/W2942586735","https://openalex.org/W2956163139"],"abstract_inverted_index":{"Modern":[0],"biomedical":[1],"devices":[2],"use":[3],"sensor":[4],"fusion":[5],"techniques":[6],"to":[7,29,48,67,107,121],"improve":[8],"the":[9,30,51,78,82,110,123,131,144],"classification":[10],"accuracy":[11],"of":[12,15,22,33,81,99],"motion":[13,23],"intent":[14],"users":[16],"for":[17],"rehabilitation":[18],"application.":[19],"The":[20,128],"design":[21,79,87,126],"classifier":[24],"observes":[25],"significant":[26],"challenges":[27],"due":[28],"large":[31],"number":[32],"channels":[34],"and":[35,54,61,149],"stringent":[36],"communication":[37],"latency":[38],"requirement.":[39],"This":[40],"paper":[41],"proposes":[42],"an":[43],"edge-computing":[44,152],"distributed":[45],"neural":[46,100],"processor":[47],"effectively":[49],"reduce":[50,69,109],"data":[52],"traffic":[53,70],"physical":[55],"wiring":[56],"congestion.":[57],"A":[58,91,113],"special":[59],"local":[60],"global":[62],"networking":[63,153],"architecture":[64],"is":[65,89,104],"introduced":[66],"significantly":[68,108],"among":[71],"multi-chips":[72],"in":[73],"edge":[74],"computing.":[75],"To":[76],"optimize":[77],"space":[80],"features":[83],"selected,":[84],"a":[85],"systematic":[86,125],"methodology":[88],"proposed.":[90],"novel":[92],"mixed-signal":[93],"feature":[94],"extraction":[95],"approach":[96],"with":[97],"assistance":[98],"network":[101],"distortion":[102],"recovery":[103],"also":[105],"provided":[106],"silicon":[111],"area.":[112],"12-channel":[114],"55nm":[115],"CMOS":[116],"test":[117,132],"chip":[118,133],"was":[119],"implemented":[120],"demonstrate":[122],"proposed":[124],"methodology.":[127],"measurement":[129],"shows":[130],"consumes":[134],"only":[135],"20uW":[136],"power,":[137],"more":[138],"than":[139,143],"10,000X":[140],"less":[141],"power":[142],"current":[145],"clinically":[146],"used":[147],"microprocessor":[148],"can":[150],"perform":[151],"operation":[154],"within":[155],"5ms":[156],"time.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
