{"id":"https://openalex.org/W4386737348","doi":"https://doi.org/10.1109/jsyst.2023.3308333","title":"MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for <i>n-</i>Shot Diagnosis and Monitoring of Parkinson's Patients","display_name":"MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for <i>n-</i>Shot Diagnosis and Monitoring of Parkinson's Patients","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386737348","doi":"https://doi.org/10.1109/jsyst.2023.3308333"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2023.3308333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2023.3308333","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5037865550","display_name":"M. Shamim Hossain","orcid":"https://orcid.org/0000-0001-5906-9422"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"M. Shamim Hossain","raw_affiliation_strings":["Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039552087","display_name":"Mohammad Shorfuzzaman","orcid":"https://orcid.org/0000-0002-8050-8431"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Shorfuzzaman","raw_affiliation_strings":["Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037865550"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":3.0619,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92208133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"4","first_page":"5251","last_page":"5260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10919","display_name":"Neurological disorders and treatments","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7063251733779907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6931837797164917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853825449943542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5314067006111145},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5217602849006653},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4654581844806671},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.43655940890312195},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42239201068878174},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4162195324897766},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4151570200920105}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7063251733779907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6931837797164917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853825449943542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5314067006111145},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5217602849006653},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4654581844806671},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.43655940890312195},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42239201068878174},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4162195324897766},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4151570200920105},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2023.3308333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2023.3308333","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6979746304","display_name":null,"funder_award_id":"IFKSUOR3-207-2","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2084326765","https://openalex.org/W2108598243","https://openalex.org/W2138621090","https://openalex.org/W2151115358","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2322440910","https://openalex.org/W2507652798","https://openalex.org/W2509693243","https://openalex.org/W2524898498","https://openalex.org/W2751557542","https://openalex.org/W2800287564","https://openalex.org/W2810176594","https://openalex.org/W2944774301","https://openalex.org/W2963446712","https://openalex.org/W2968046103","https://openalex.org/W2980030301","https://openalex.org/W3006099874","https://openalex.org/W3034988872","https://openalex.org/W3037914312","https://openalex.org/W3111834362","https://openalex.org/W3138830386","https://openalex.org/W3159768009","https://openalex.org/W3175581533","https://openalex.org/W3197638240","https://openalex.org/W3217086355","https://openalex.org/W4244504301","https://openalex.org/W6637373629","https://openalex.org/W6751813273"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W4321789545","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W4389832810","https://openalex.org/W3163146846"],"abstract_inverted_index":{"Parkinson's":[0],"disease":[1,53],"(PD)":[2],"is":[3,110],"a":[4,29,59,113,118,146,157,167,178,195],"neurodegenerative":[5],"condition":[6],"that":[7,37,142],"affects":[8],"the":[9,35,38,45,71,101],"motor":[10],"system":[11,160],"and":[12,19,21,100,134,175,203],"can":[13],"result":[14],"in":[15,78,104],"tremors,":[16],"limb":[17],"rigidity,":[18],"gait":[20],"balance":[22],"disorders.":[23],"Currently,":[24],"conventional":[25],"tests":[26],"consist":[27],"of":[28,31,48,62,73,121,200],"series":[30],"spiral":[32,202],"drawings,":[33],"with":[34,150,166,190],"notion":[36],"most":[39],"prevalent":[40],"PD":[41,136,148,183,198],"symptoms":[42],"directly":[43],"impact":[44],"visual":[46],"appearance":[47],"handwritten":[49],"geometric":[50],"dynamics.":[51],"Current":[52],"diagnosis":[54],"methods":[55],"rely":[56],"heavily":[57],"on":[58,139,194],"large":[60],"amount":[61],"preexisting":[63],"clinical":[64],"data":[65,76],"to":[66,86,144,162,170,181],"train":[67,145],"their":[68],"models.":[69],"However,":[70],"lack":[72],"sufficient":[74],"labeled":[75],"samples":[77],"many":[79],"diseases,":[80],"including":[81],"PD,":[82],"makes":[83],"it":[84],"challenging":[85],"build":[87],"robust":[88],"predictive":[89],"models,":[90],"especially":[91],"deep-learning":[92],"ones.":[93],"With":[94],"measuring":[95],"devices":[96],"becoming":[97],"more":[98],"common":[99],"continuous":[102],"increase":[103],"processing":[105],"power,":[106],"industrial":[107,127],"cyber-physical":[108,128,159],"characterization":[109],"emerging":[111],"as":[112],"key":[114],"enabling":[115],"technology":[116],"for":[117,132],"wide":[119],"range":[120],"fields.":[122],"This":[123],"article":[124],"proposes":[125],"an":[126],"deep":[129],"meta-learning":[130],"framework":[131],"diagnosing":[133],"monitoring":[135],"patients":[137],"based":[138],"metric":[140],"learning":[141,165],"aims":[143],"reliable":[147],"classifier":[149],"limited":[151],"data.":[152],"In":[153],"particular,":[154],"we":[155],"present":[156],"component-based":[158],"architecture":[161],"combine":[163],"contrastive":[164],"CNN":[168],"encoder":[169],"obtain":[171],"unbiased":[172],"feature":[173],"embeddings":[174],"then":[176],"use":[177],"Siamese":[179],"network":[180],"finalize":[182],"classification.":[184],"Our":[185],"technique":[186],"outperforms":[187],"pretrained":[188],"models":[189],"few":[191],"training":[192],"instances":[193],"publicly":[196],"available":[197],"dataset":[199],"hand-drawn":[201],"wave":[204],"images.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
