{"id":"https://openalex.org/W7126024112","doi":"https://doi.org/10.1109/bibm66473.2025.11357216","title":"A Noise-Resistant 3D Hand Motion Estimator Framework for Parkinson's Tremor Assessment","display_name":"A Noise-Resistant 3D Hand Motion Estimator Framework for Parkinson's Tremor Assessment","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126024112","doi":"https://doi.org/10.1109/bibm66473.2025.11357216"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5049032804","display_name":"Yixing Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yixing Ye","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004355908","display_name":"Hui Gao","orcid":"https://orcid.org/0000-0003-0162-2445"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124193135","display_name":"Mengqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqi Liu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124222303","display_name":"Yikang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098580","display_name":"Nanjing Traditional Chinese Medicine Hospital","ror":"https://ror.org/016k98t76","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikang He","raw_affiliation_strings":["Nanjing Pukou District Traditional Chinese Medicine Hospital"],"affiliations":[{"raw_affiliation_string":"Nanjing Pukou District Traditional Chinese Medicine Hospital","institution_ids":["https://openalex.org/I4210098580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905655","display_name":"Haolun Li","orcid":"https://orcid.org/0000-0003-3829-2849"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolun Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124227094","display_name":"Chi-Man Pun","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["University of Macau"],"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124227980","display_name":"Feng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5049032804"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75226003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3143","last_page":"3148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14286","display_name":"Parkinson's Disease and Spinal Disorders","score":0.2224999964237213,"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"}},"topics":[{"id":"https://openalex.org/T14286","display_name":"Parkinson's Disease and Spinal Disorders","score":0.2224999964237213,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.20080000162124634,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"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":0.15620000660419464,"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/motion-capture","display_name":"Motion capture","score":0.5245000123977661},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5198000073432922},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.501800000667572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5008999705314636},{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.4862000048160553},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4749999940395355},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4417000114917755},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7480999827384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955000162124634},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5245000123977661},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5198000073432922},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5008999705314636},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4828999936580658},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4749999940395355},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.3961000144481659},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.38749998807907104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C2777781587","wikidata":"https://www.wikidata.org/wiki/Q1208242","display_name":"Finger joint","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2780112193","wikidata":"https://www.wikidata.org/wiki/Q693519","display_name":"Essential tremor","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7355132699012756,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1973811412","https://openalex.org/W2027781579","https://openalex.org/W2042871294","https://openalex.org/W2133398254","https://openalex.org/W2140978740","https://openalex.org/W2149896208","https://openalex.org/W2803727374","https://openalex.org/W2972279824","https://openalex.org/W2973857456","https://openalex.org/W3126514136","https://openalex.org/W3166674645","https://openalex.org/W3192252093","https://openalex.org/W4221101075","https://openalex.org/W4288078019","https://openalex.org/W4289517620","https://openalex.org/W4313130756","https://openalex.org/W4372337945","https://openalex.org/W4385764641","https://openalex.org/W4386352624","https://openalex.org/W4388630230","https://openalex.org/W4390191228","https://openalex.org/W4390874109","https://openalex.org/W4390991965","https://openalex.org/W4402704593","https://openalex.org/W4404007442","https://openalex.org/W4406110380","https://openalex.org/W4406259987","https://openalex.org/W4412722629","https://openalex.org/W4413144709","https://openalex.org/W4414360147","https://openalex.org/W4417252159"],"related_works":[],"abstract_inverted_index":{"Parkinson's":[0],"disease":[1],"(PD)":[2],"is":[3],"a":[4,75,132,157,188],"progressive":[5],"neurodegenerative":[6],"disorder,":[7],"with":[8,47,111],"tremor":[9,49],"being":[10],"one":[11],"of":[12,82,173,191],"its":[13,210],"representative":[14],"motor":[15],"symptoms.":[16],"Current":[17],"clinical":[18,212],"evaluations":[19],"primarily":[20],"rely":[21],"on":[22,141,194],"subjective":[23],"scales":[24],"such":[25],"as":[26],"the":[27,83,112,120,142,171,182,195],"MDS-UPDRS,":[28],"which":[29],"often":[30],"introduce":[31,147],"significant":[32],"inter-rater":[33],"variability.":[34],"Although":[35],"vision-based":[36],"evaluation":[37,81],"offers":[38],"objective":[39,149,161],"motion":[40,124,153,183],"analysis,":[41],"existing":[42],"pose":[43,106,176],"tracking":[44],"frameworks":[45],"struggle":[46],"accurate":[48,104],"quantification":[50],"due":[51],"to":[52,59,92,151],"inter-frame":[53],"jitter":[54],"and":[55,135,155,178],"limited":[56],"precision,":[57],"failing":[58],"capture":[60],"fine-grained":[61],"spatiotemporal":[62,114],"dynamics.":[63],"To":[64],"address":[65],"this,":[66],"we":[67,146],"propose":[68],"Motion-aware":[69],"Hierarchical":[70],"Grouping":[71],"Mamba":[72],"Network":[73],"(MHG-Mamba),":[74],"non-contact":[76],"video-based":[77],"framework":[78],"for":[79,159],"automated":[80],"'finger-to-nose'":[84,196],"task.":[85,197],"Our":[86],"approach":[87],"first":[88],"employs":[89],"feature":[90],"extraction":[91],"decouple":[93],"high-degree-of-freedom":[94],"finger":[95,105],"joint":[96,101],"movements":[97],"from":[98],"stable":[99],"palm":[100],"motions,":[102],"enabling":[103],"estimation.":[107],"Second,":[108],"by":[109],"incorporating":[110],"hierarchical":[113],"scanning":[115],"mechanism":[116],"in":[117,131,181,206],"Mamba's":[118],"SSM,":[119],"model":[121],"captures":[122],"global":[123],"features":[125,154],"while":[126],"preserving":[127],"anatomical":[128],"constraints,":[129],"resulting":[130],"temporally":[133],"smooth":[134],"plausible":[136],"skeletal":[137,144],"sequence.":[138],"Finally,":[139],"based":[140],"predicted":[143],"sequences,":[145],"several":[148],"metrics":[150],"quantify":[152],"apply":[156],"classifier":[158],"precise":[160],"severity":[162],"rating.":[163],"Experimental":[164],"results":[165],"demonstrate":[166],"that":[167],"MHG-Mamba":[168],"significantly":[169],"improves":[170],"accuracy":[172,190],"3D":[174],"hand":[175],"estimation":[177],"reduces":[179],"noise":[180],"sequences.":[184],"The":[185],"system":[186,202],"achieved":[187],"classification":[189],"93.2":[192],"%":[193],"Moreover,":[198],"clinicians":[199],"using":[200],"our":[201],"exhibited":[203],"reduced":[204],"variability":[205],"their":[207],"assessments,":[208],"highlighting":[209],"high":[211],"value.":[213]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-30T00:00:00"}
