{"id":"https://openalex.org/W4281711932","doi":"https://doi.org/10.1101/2022.05.25.22275480","title":"A Hierarchical Bayesian Model for Cyber-Human Assessment of Rehabilitation Movement","display_name":"A Hierarchical Bayesian Model for Cyber-Human Assessment of Rehabilitation Movement","publication_year":2022,"publication_date":"2022-05-27","ids":{"openalex":"https://openalex.org/W4281711932","doi":"https://doi.org/10.1101/2022.05.25.22275480"},"language":"en","primary_location":{"id":"doi:10.1101/2022.05.25.22275480","doi":"https://doi.org/10.1101/2022.05.25.22275480","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2022.05.25.22275480","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2022/05/27/2022.05.25.22275480.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.medrxiv.org/content/medrxiv/early/2022/05/27/2022.05.25.22275480.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031374594","display_name":"Tamim Ahmed","orcid":"https://orcid.org/0000-0002-4162-6224","observed_orcids":["https://orcid.org/0000-0002-4162-6224"]},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tamim Ahmed","raw_affiliation_strings":["Department of Biomedical Engineering","Department of Biomedical Engineering, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering","institution_ids":[]},{"raw_affiliation_string":"Department of Biomedical Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014206994","display_name":"Thanassis Rikakis","orcid":"https://orcid.org/0000-0002-8239-8192","observed_orcids":["https://orcid.org/0000-0002-8239-8192"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanassis Rikakis","raw_affiliation_strings":["Department of Biomedical Engineering, University of Southern California","Department of Biomedical Engineering, University of Southern California, LA, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Southern California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Biomedical Engineering, University of Southern California, LA, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049112026","display_name":"Setor Zilevu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Setor Zilevu","raw_affiliation_strings":["Department of Computer Science","Department of Computer Science, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019141418","display_name":"Aisling Kelliher","orcid":"https://orcid.org/0000-0001-9175-2176","observed_orcids":["https://orcid.org/0000-0001-9175-2176"]},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aisling Kelliher","raw_affiliation_strings":["Department of Computer Science","Department of Computer Science, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081125074","display_name":"Kowshik Thopalli","orcid":"https://orcid.org/0000-0003-2183-8577","observed_orcids":["https://orcid.org/0000-0003-2183-8577"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kowshik Thopalli","raw_affiliation_strings":["School of Arts Media and Engineering, Arizona State University","School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062945520","display_name":"Pavan K. Turaga","orcid":"https://orcid.org/0000-0002-5263-5943","observed_orcids":["https://orcid.org/0000-0002-5263-5943"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pavan Turaga","raw_affiliation_strings":["School of Arts Media and Engineering, Arizona State University","School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Arts Media and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101505512","display_name":"Steven L. Wolf","orcid":"https://orcid.org/0000-0002-9446-8995","observed_orcids":["https://orcid.org/0000-0002-9446-8995"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven L. Wolf","raw_affiliation_strings":["Department of Rehabilitation Medicine, Emory University School of Medicine","Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, Emory University School of Medicine","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031374594"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9789999723434448,"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"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9789999723434448,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10982","display_name":"Motor Control and Adaptation","score":0.002899999963119626,"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/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.8330000042915344},{"id":"https://openalex.org/keywords/stroke-rehabilitation","display_name":"stroke rehabilitation","score":0.777999997138977},{"id":"https://openalex.org/keywords/upper-limb-movement","display_name":"upper limb movement","score":0.7070000171661377},{"id":"https://openalex.org/keywords/movement-quality","display_name":"movement quality","score":0.8080000281333923},{"id":"https://openalex.org/keywords/functional-outcome-prediction","display_name":"functional outcome prediction","score":0.5479999780654907},{"id":"https://openalex.org/keywords/video-based-motion-analysis","display_name":"video-based motion analysis","score":0.5370000004768372},{"id":"https://openalex.org/keywords/movement-segmentation","display_name":"movement segmentation","score":0.5720000267028809},{"id":"https://openalex.org/keywords/kinematic-parameters","display_name":"kinematic parameters","score":0.6639999747276306},{"id":"https://openalex.org/keywords/inter-rater-reliability","display_name":"inter-rater reliability","score":0.8180000185966492},{"id":"https://openalex.org/keywords/remote-therapy","display_name":"remote therapy","score":0.4009999930858612},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.4690000116825104},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.5529999732971191},{"id":"https://openalex.org/keywords/stroke-survivors","display_name":"stroke survivors","score":0.35600000619888306},{"id":"https://openalex.org/keywords/home-based-treatment","display_name":"home-based therapy","score":0.39399999380111694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392932176589966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5969976782798767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5797826647758484},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5265103578567505},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4508568346500397},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.44427162408828735},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.43283557891845703},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4279749393463135},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4279448091983795},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41746699810028076},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4132891297340393},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11006349325180054},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1101/2022.05.25.22275480","doi":"https://doi.org/10.1101/2022.05.25.22275480","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2022.05.25.22275480","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2022/05/27/2022.05.25.22275480.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1101/2022.05.25.22275480","doi":"https://doi.org/10.1101/2022.05.25.22275480","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2022.05.25.22275480","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2022/05/27/2022.05.25.22275480.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3204505291","display_name":"SCH:INT: Collaborative Research: Semi-Automated Rehabilitation in the Home","funder_award_id":"2014499","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6201316725","display_name":null,"funder_award_id":"90REGE0010","funder_id":"https://openalex.org/F4320337604","funder_display_name":"National Institute on Disability, Independent Living, and Rehabilitation Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337604","display_name":"National Institute on Disability, Independent Living, and Rehabilitation Research","ror":"https://ror.org/033jnv181"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281711932.pdf","grobid_xml":"https://content.openalex.org/works/W4281711932.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1964143171","https://openalex.org/W2011781303","https://openalex.org/W2039539255","https://openalex.org/W2066118953","https://openalex.org/W2066878366","https://openalex.org/W2073246877","https://openalex.org/W2079124738","https://openalex.org/W2098661447","https://openalex.org/W2103771133","https://openalex.org/W2112091017","https://openalex.org/W2123324829","https://openalex.org/W2123713131","https://openalex.org/W2140736690","https://openalex.org/W2293818142","https://openalex.org/W2342495668","https://openalex.org/W2735908339","https://openalex.org/W2753332293","https://openalex.org/W2823729389","https://openalex.org/W2901294525","https://openalex.org/W2981777368","https://openalex.org/W2999665664","https://openalex.org/W3007999182","https://openalex.org/W3032496293","https://openalex.org/W3083550439","https://openalex.org/W3162879568","https://openalex.org/W3195634332","https://openalex.org/W4220755758","https://openalex.org/W4300914774"],"related_works":["https://openalex.org/W4401878955","https://openalex.org/W3195634332","https://openalex.org/W2333414353","https://openalex.org/W3032496293","https://openalex.org/W2915322498","https://openalex.org/W2066118953","https://openalex.org/W2754131370","https://openalex.org/W3012451584","https://openalex.org/W2017201960","https://openalex.org/W4409728706"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"The":[2,183,339,438],"evidence-based":[3],"quantification":[4,29],"of":[5,25,39,48,109,154,198,231,246,256,258,288,303,309,323,329,342,349,360,376,384,392,411,417,424,491,501,507,514,517,526,532,544],"the":[6,37,70,110,145,158,213,228,254,259,281,291,301,307,310,321,343,352,358,361,366,381,390,422,454,462,465,505,512,515,524,541,547],"relation":[7,230,516],"between":[8,269],"changes":[9,234],"in":[10,18,36,89,125,149,327,428],"movement":[11,93,99,119,232,250,272,293,337,377,403,451,474,503,518],"quality":[12,233,475,519],"and":[13,63,82,118,175,180,202,215,249,271,295,299,336,400,405,413,472,476,496,522],"functionality":[14,97,477,521],"can":[15,33,44,53,459,549],"assist":[16,87],"clinicians":[17,58,88],"achieving":[19],"more":[20,55],"effective":[21],"structuring":[22],"or":[23],"adaptations":[24],"therapy.":[26],"Facilitating":[27],"this":[28],"through":[30],"computational":[31,84,111,205,315,466,499,527],"tools":[32],"also":[34,420,440],"result":[35],"generation":[38],"large-scale":[40],"data":[41,192,312,404,497],"sets":[42],"that":[43,170,379,447,479,510],"inform":[45],"automated":[46,51,166,184,216,394,471,530],"assessment":[47,52,94,167,185,316,395,467,478,531],"rehabilitation.":[49],"Interpretable":[50],"leave":[54],"time":[56,353],"for":[57,65,122,226,529],"to":[59,86,98,136,151,161,218,235,284,313,371,430,453,469,520,552],"focus":[60],"on":[61,280,540],"treatment":[62],"allow":[64],"remotely":[66],"supervised":[67],"therapy":[68,133],"at":[69],"home.":[71],"Methods":[72],"In":[73,139,207],"our":[74,140,163,208,314,324,393,425,536],"first":[75,238],"experiment,":[76,142,210],"we":[77,143,211,276,368],"developed":[78,165],"a":[79,91,196,220,266,373,407,414,434,442],"rating":[80,112,325],"process":[81,95],"accompanying":[83],"tool":[85],"following":[90],"standardized":[92,130,488],"relating":[96],"quality.":[100],"We":[101,237,252,319,388,419,458],"conducted":[102],"three":[103,106,286,362],"studies":[104],"with":[105,433,493],"different":[107],"versions":[108],"tool.":[113],"Clinicians":[114],"rated":[115,147],"task,":[116,247],"segment,":[117,248],"feature":[120],"performance":[121,391,423],"440":[123,146],"videos":[124,153,492],"which":[126],"stroke":[127,545],"survivors":[128],"executed":[129],"upper":[131,542],"extremity":[132,543],"tasks":[134],"related":[135],"functional":[137,386],"activities.":[138],"second":[141],"used":[144,212,277,300],"videos,":[148],"addition":[150],"140":[152],"unimpaired":[155,181,402],"subjects":[156],"performing":[157],"same":[159],"tasks,":[160,334],"improve":[162],"previously":[164],"ensemble":[168,186,468],"model":[169,396],"automatically":[171],"generates":[172,441],"segmentation":[173,409],"times":[174],"task":[176],"ratings":[177,217,245,432,490],"across":[178,333],"impaired":[179,399],"movement.":[182,534],"integrates":[187],"expert":[188],"knowledge":[189,494],"constraints":[190],"into":[191,464],"driven":[193,481,498],"training":[194,525],"though":[195],"combination":[197],"HMM,":[199],"transformer,":[200],"MSTCN++,":[201],"decision":[203],"tree":[204],"modules.":[206],"third":[209,340],"therapist":[214],"develop":[219],"four-layer":[221],"Hierarchical":[222],"Bayesian":[223],"Model":[224],"(HBM)":[225],"computing":[227],"statistical":[229],"functionality.":[236],"calculated":[239],"conditional":[240],"layer":[241],"probabilities":[242],"using":[243,397],"clinician":[244,489],"features.":[251,274,338,457],"increased":[253],"granularity":[255],"observation":[257],"HBM":[260,264,283,427,439,446,463,509],"by":[261,482],"formulating":[262],"\u0394":[263,282,445],",":[265],"correlation":[267,429,435,443],"graph":[268],"kinematics":[270],"composite":[273,294,450],"Finally,":[275],"k-means":[278],"clustering":[279],"identify":[285,372],"clusters":[287,305],"features":[289,298,378,452],"among":[290],"16":[292,449],"20":[296,455],"kinematic":[297,456],"centroid":[302],"these":[304],"as":[306],"weights":[308],"input":[311],"ensemble.":[317],"Results":[318],"evaluated":[320,389],"efficacy":[322],"interface":[326,344],"terms":[328],"inter-rater":[330],"reliability":[331],"(IRR)":[332],"segments,":[335],"version":[341],"produced":[345],"an":[346,508],"average":[347],"IRR":[348],"67%,":[350],"while":[351],"per":[354],"session":[355],"(TPS)":[356],"was":[357],"lowest":[359],"studies.":[363],"By":[364],"analyzing":[365],"ratings,":[367],"were":[369],"able":[370],"small":[374],"number":[375],"have":[380],"highest":[382],"probability":[383],"predicting":[385],"improvement.":[387],"60%":[398],"40%":[401],"achieved":[406],"frame-wise":[408],"accuracy":[410,416],"87.85\u00b10.58":[412],"block-segmentation":[415],"98.46\u00b11.6.":[418],"demonstrated":[421],"proposed":[426],"clinician\u2019s":[431],"over":[436],"90%.":[437],"graph,":[444],"relates":[448],"thus":[460],"integrate":[461],"perform":[470],"integrated":[473],"is":[480],"computationally":[483],"extracted":[484],"kinematics.":[485],"Conclusions":[486],"Combining":[487],"based":[495],"analysis":[500],"rehabilitation":[502,533],"allows":[504],"expression":[506],"increases":[511],"observability":[513],"enables":[523],"algorithms":[528],"While":[535],"work":[537],"primarily":[538],"focuses":[539],"survivors,":[546],"models":[548],"be":[550],"adopted":[551],"many":[553],"other":[554],"neurorehabilitation":[555],"contexts.":[556]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2022-06-13T00:00:00"}
