{"id":"https://openalex.org/W7133301636","doi":"https://doi.org/10.1007/s43926-026-00304-y","title":"Monitoring and health evaluation of fitness Qigong training effect based on internet of things and neural network","display_name":"Monitoring and health evaluation of fitness Qigong training effect based on internet of things and neural network","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133301636","doi":"https://doi.org/10.1007/s43926-026-00304-y"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-026-00304-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00304-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43926-026-00304-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127959198","display_name":"Chunhua He","orcid":null},"institutions":[{"id":"https://openalex.org/I151878197","display_name":"Pingdingshan University","ror":"https://ror.org/026c29h90","country_code":"CN","type":"education","lineage":["https://openalex.org/I151878197"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunhua He","raw_affiliation_strings":["School of Physical Education, Pingdingshan University, Pingdingshan, 467000, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physical Education, Pingdingshan University, Pingdingshan, 467000, Henan, China","institution_ids":["https://openalex.org/I151878197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5127959198"],"corresponding_institution_ids":["https://openalex.org/I151878197"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38447663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.15569999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.15569999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13345","display_name":"Advanced Technologies and Applied Computing","score":0.048700001090765,"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/T13044","display_name":"Biofield Effects and Biophysics","score":0.044599998742341995,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5393000245094299},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4693000018596649},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4415999948978424},{"id":"https://openalex.org/keywords/rehabilitation","display_name":"Rehabilitation","score":0.42969998717308044},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42719998955726624},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4088999927043915},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.39340001344680786},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.3840000033378601},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.367900013923645}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5748000144958496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5593000054359436},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5393000245094299},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5238000154495239},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.27799999713897705},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26669999957084656},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26420000195503235}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s43926-026-00304-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00304-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7899fd6a5a01459eae89c05d51674272","is_oa":true,"landing_page_url":"https://doaj.org/article/7899fd6a5a01459eae89c05d51674272","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Internet of Things, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s43926-026-00304-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-026-00304-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4025276303291321,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W3095498168","https://openalex.org/W3119188165","https://openalex.org/W3157010381","https://openalex.org/W3170779712","https://openalex.org/W3205842307","https://openalex.org/W4200290401","https://openalex.org/W4205682485","https://openalex.org/W4225290906","https://openalex.org/W4280511664","https://openalex.org/W4283528708","https://openalex.org/W4292722532","https://openalex.org/W4296898506","https://openalex.org/W4312066030","https://openalex.org/W4321788418","https://openalex.org/W4366587675","https://openalex.org/W4383875428","https://openalex.org/W4384826450","https://openalex.org/W4386324884","https://openalex.org/W4386438916","https://openalex.org/W4400433124","https://openalex.org/W4401173901","https://openalex.org/W4403250985","https://openalex.org/W4407070137","https://openalex.org/W4407145142","https://openalex.org/W4407225997","https://openalex.org/W4408303649","https://openalex.org/W4408721783","https://openalex.org/W4408852175","https://openalex.org/W4409289336","https://openalex.org/W4409663072","https://openalex.org/W4409826706","https://openalex.org/W4411213751","https://openalex.org/W4412379692","https://openalex.org/W4412550910","https://openalex.org/W4413381950","https://openalex.org/W4413798746","https://openalex.org/W4413933835","https://openalex.org/W4414270980","https://openalex.org/W4414604199","https://openalex.org/W4414605161","https://openalex.org/W4414660282","https://openalex.org/W4414702885"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"A":[1,211],"new":[2],"form":[3],"of":[4,19,48,81,122,143,146,221,291,341,347],"rehabilitation":[5],"intervention":[6],"known":[7,227],"as":[8,96,228],"qigong":[9],"has":[10],"recently":[11],"gained":[12],"popularity.":[13],"Mental":[14],"health":[15],"and":[16,43,57,62,67,106,137,166,242,269,282,312,331,344],"the":[17,79,120,141,161,167,208,218,247,262,266,275,289],"management":[18],"chronic":[20],"diseases":[21],"are":[22,45,75,285],"two":[23,46],"further":[24,184],"areas":[25],"where":[26],"it":[27,40,188,303],"is":[28,117,124,132,154,175,200,214,230,239,250,261,315,328],"effective.":[29],"But":[30,89],"it\u2019s":[31],"still":[32,92],"very":[33,87,104],"difficult":[34],"to":[35,52,133,216,235,264,287,305,317],"objectively":[36],"assess":[37],"how":[38],"well":[39],"trains.":[41],"SVM":[42],"CNN":[44],"examples":[47],"more":[49],"conventional":[50],"approaches":[51],"problems":[53],"like":[54,160],"gait":[55],"identification":[56],"motion":[58],"classification,":[59],"respectively.":[60],"LSTM":[61],"LSTM-RNN":[63],"for":[64,112,202,278],"sequential":[65],"evaluation":[66,206],"capturing":[68],"systems":[69],"built":[70],"around":[71],"inertial":[72],"sensor":[73],"devices":[74],"also":[76,155,226],"included.":[77],"Furthermore,":[78],"results":[80],"clinical":[82],"trial":[83],"meta-analyses":[84],"have":[85,93,323],"been":[86],"instructive.":[88],"these":[90],"methods":[91],"limitations,":[94],"such":[95],"being":[97,103,108],"too":[98],"reliant":[99],"on":[100,140],"hardware,":[101],"not":[102,107],"flexible,":[105],"interpretable.":[109],"An":[110,194],"architecture":[111],"a":[113,325],"neural":[114],"network":[115],"that":[116,238,273,314,327],"enabled":[118],"by":[119,179,252],"Internet":[121,145],"Things":[123,147],"displayed":[125],"in":[126,207,339],"this":[127],"paper.":[128],"Its":[129],"intended":[130],"use":[131],"provide":[134],"quick,":[135],"scalable,":[136],"interpretable":[138,249],"feedback":[139,313],"efficacy":[142],"training.":[144],"(IoT)":[148],"wearables":[149],"capture":[150],"data.":[151],"This":[152,293],"information":[153],"gathered":[156],"from":[157],"standard":[158],"datasets":[159],"Stroke":[162],"Rehabilitation":[163],"Qigong":[164],"Dataset":[165],"Tai":[168],"Chi":[169],"IMU":[170],"Movement":[171],"Dataset.":[172],"The":[173,259],"signal":[174],"improved":[176],"during":[177],"preprocessing":[178],"using":[180,253],"adaptive":[181],"filtering.":[182],"To":[183],"isolate":[185],"important":[186],"characteristics,":[187],"employs":[189],"principal":[190],"component":[191],"analysis":[192],"(PCA).":[193],"Attention-enabled":[195],"Spatial-Temporal":[196],"Graph":[197],"Convolutional":[198],"Network":[199],"used":[201,286],"joint-specific":[203],"skeletal":[204],"sequence":[205],"modeling":[209],"process.":[210,321],"CNN-Transformer":[212],"hybrid":[213],"employed":[215],"record":[217],"changing":[219],"behavior":[220],"multimodal":[222],"sensors.":[223],"Federated":[224],"Averaging,":[225],"FedAvg,":[229],"implemented":[231],"across":[232],"dispersed":[233],"participants":[234],"ensure":[236],"education":[237],"both":[240,329],"decentralized":[241],"respects":[243],"individuals\u2019":[244],"privacy.":[245],"Making":[246],"ST-GCN-Att":[248],"done":[251],"Gradient-weighted":[254],"Class":[255],"Activation":[256],"Mapping":[257],"(Grad-CAM).":[258],"result":[260],"ability":[263],"see":[265],"temporal":[267],"intervals":[268],"crucial":[270],"skeleton":[271],"joints":[272],"impact":[274],"forecasts.":[276],"Measures":[277],"precision,":[279],"F1-score,":[280],"delay,":[281],"energy":[283],"usage":[284],"verify":[288],"level":[290],"performance.":[292],"system":[294,326],"integrates":[295],"deep":[296],"spatio-temporal":[297],"learning":[298],"with":[299],"IoT":[300],"sensing,":[301],"making":[302],"superior":[304],"existing":[306],"techniques.":[307],"It":[308,334],"unifies":[309],"federated":[310],"privacy":[311],"easy":[316],"understand":[318],"into":[319],"one":[320],"We":[322],"created":[324],"scalable":[330],"clinically":[332],"reliable.":[333],"improves":[335],"exercise-based":[336],"therapeutic":[337],"training":[338],"terms":[340],"individualization,":[342],"openness,":[343],"real-time":[345],"assessment":[346],"health.":[348]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-03-04T00:00:00"}