{"id":"https://openalex.org/W4403676721","doi":"https://doi.org/10.1109/biorob60516.2024.10719959","title":"Tracking Motor Unit Discharges Across Days Based on the Pre-Trained Separation Vectors","display_name":"Tracking Motor Unit Discharges Across Days Based on the Pre-Trained Separation Vectors","publication_year":2024,"publication_date":"2024-09-01","ids":{"openalex":"https://openalex.org/W4403676721","doi":"https://doi.org/10.1109/biorob60516.2024.10719959"},"language":"en","primary_location":{"id":"doi:10.1109/biorob60516.2024.10719959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob60516.2024.10719959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","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/A5100418425","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-3007-4364"},"institutions":[{"id":"https://openalex.org/I4391768146","display_name":"State Key Laboratory of Mechanical System and Vibration","ror":"https://ror.org/02hphne60","country_code":null,"type":"facility","lineage":["https://openalex.org/I183067930","https://openalex.org/I4391768146"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4391768146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101933540","display_name":"Xiangyang Zhu","orcid":"https://orcid.org/0000-0001-9574-6072"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4391768146","display_name":"State Key Laboratory of Mechanical System and Vibration","ror":"https://ror.org/02hphne60","country_code":null,"type":"facility","lineage":["https://openalex.org/I183067930","https://openalex.org/I4391768146"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai,China,200240"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4391768146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100418425"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4391768146"],"apc_list":null,"apc_paid":null,"fwci":0.3495,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60698362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"681","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9485999941825867,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9485999941825867,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9154000282287598,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/tracking","display_name":"Tracking (education)","score":0.6505042910575867},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6454973220825195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47709351778030396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3954606354236603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14332473278045654},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06232568621635437}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6505042910575867},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6454973220825195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47709351778030396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3954606354236603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14332473278045654},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06232568621635437},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biorob60516.2024.10719959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob60516.2024.10719959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5506786173","display_name":null,"funder_award_id":"52205024,52227808,91948302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1503680843","https://openalex.org/W1976423785","https://openalex.org/W1987036384","https://openalex.org/W2004879773","https://openalex.org/W2042861111","https://openalex.org/W2043240362","https://openalex.org/W2063366067","https://openalex.org/W2133675475","https://openalex.org/W2163586187","https://openalex.org/W2290981976","https://openalex.org/W2564511738","https://openalex.org/W2587122088","https://openalex.org/W2765431510","https://openalex.org/W2804395983","https://openalex.org/W2914790474","https://openalex.org/W2921010326","https://openalex.org/W2947764326","https://openalex.org/W2955075226","https://openalex.org/W2969958495","https://openalex.org/W3020244590","https://openalex.org/W3112371993","https://openalex.org/W3136958148","https://openalex.org/W3186132891","https://openalex.org/W4200067849","https://openalex.org/W4229460157","https://openalex.org/W4230942788","https://openalex.org/W4250412356","https://openalex.org/W4285821290","https://openalex.org/W4313639571","https://openalex.org/W4321763406","https://openalex.org/W4360584721","https://openalex.org/W4365135298","https://openalex.org/W4380758194"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2071676784","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Objective.":[0],"Decoding":[1],"motor":[2,32,39,50,66,107,135,194],"unit":[3,33,51,67,108,136,195],"activities":[4],"from":[5,100,160],"surface":[6],"electromyography":[7],"(sEMG)":[8],"has":[9],"been":[10],"demonstrated":[11],"as":[12],"a":[13],"promising":[14],"technique":[15],"for":[16,65],"human-machine":[17],"interfacing":[18],"(HMI)":[19],"in":[20,73,129,213],"the":[21,25,38,43,59,74,82,101,114,126,130,147,191,202,207],"past":[22],"decade.":[23],"However,":[24],"current":[26],"decoding":[27,52,212],"methods":[28],"have":[29],"difficulty":[30],"tracking":[31,148,196],"discharges":[34],"across":[35,53,150,171,177,197],"experiments,":[36],"limiting":[37],"unit-based":[40],"HMI":[41],"within":[42],"intra-trial":[44],"analysis.":[45],"This":[46],"study":[47],"focused":[48],"on":[49,113,201],"multi-days":[54],"and":[55,80,104,143,183,186],"aimed":[56],"to":[57,124,145],"demonstrate":[58],"feasibility":[60,192],"of":[61,95,193,210],"pretrained":[62,203],"separation":[63,120,204],"vectors":[64,121],"tracking.":[68],"Methods.":[69],"One":[70],"subject":[71],"participated":[72],"experiment":[75],"that":[76],"lasted":[77],"five":[78,172],"days":[79,179,199],"performed":[81],"isometric":[83],"elbow":[84],"flexion":[85],"at":[86],"four":[87],"contraction":[88,162],"levels":[89],"daily.":[90],"The":[91,119,133,174],"high-density":[92],"sEMG":[93,127],"signals":[94,128],"64":[96],"channels":[97],"were":[98,122,141,158,168,180],"recorded":[99],"biceps":[102],"brachii":[103],"decomposed":[105],"into":[106],"spike":[109],"trains":[110],"(MUSTs)":[111],"based":[112,200],"convolutional":[115],"kernel":[116],"compensation":[117],"algorithm.":[118],"kept":[123],"decompose":[125],"subsequent":[131],"days.":[132,151,173],"multichannel":[134],"action":[137],"potential":[138,208],"(MUAP)":[139],"waveforms":[140],"extracted":[142],"compared":[144],"validate":[146],"performance":[149],"Main":[152],"results.":[153],"On":[154],"average,":[155],"20\u00b16":[156],"MUSTs":[157,167,175],"identified":[159],"each":[161],"intensity,":[163],"among":[164],"which":[165],"3\u00b12":[166],"successfully":[169],"tracked":[170,176],"2\u20134":[178],"l0\u00b14,":[181],"6\u00b14,":[182],"4\u00b13.":[184],"Conclusion":[185],"Significance.":[187],"These":[188],"results":[189],"indicate":[190],"multiple":[198],"vectors,":[205],"extending":[206],"applications":[209],"neural":[211],"HMI.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
