{"id":"https://openalex.org/W2795752438","doi":"https://doi.org/10.1109/bsn.2018.8329649","title":"Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study","display_name":"Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2795752438","doi":"https://doi.org/10.1109/bsn.2018.8329649","mag":"2795752438"},"language":"en","primary_location":{"id":"doi:10.1109/bsn.2018.8329649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2018.8329649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.03880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048791384","display_name":"Antonio Bevilacqua","orcid":"https://orcid.org/0000-0002-2583-7064"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Antonio Bevilacqua","raw_affiliation_strings":["Insight Centre for Data Analytics, University College of Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College of Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100844942","display_name":"Bingquan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingquan Huang","raw_affiliation_strings":["Insight Centre for Data Analytics, University College of Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College of Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031747826","display_name":"Rob Argent","orcid":"https://orcid.org/0000-0002-3522-9409"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rob Argent","raw_affiliation_strings":["Beacon Hospital, Dublin, Ireland","Insight Centre for Data Analytics, University College of Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Beacon Hospital, Dublin, Ireland","institution_ids":[]},{"raw_affiliation_string":"Insight Centre for Data Analytics, University College of Dublin, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090170882","display_name":"Brian Caulfield","orcid":"https://orcid.org/0000-0003-0290-9587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Caulfield","raw_affiliation_strings":["Insight Centre for Data Analytics, University College of Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College of Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039829612","display_name":"Tahar Kechadi","orcid":"https://orcid.org/0000-0002-0176-6281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tahar Kechadi","raw_affiliation_strings":["Insight Centre for Data Analytics, University College of Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, University College of Dublin, Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048791384"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5543,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.81520945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10157","display_name":"Sports Performance and Training","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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/rehabilitation","display_name":"Rehabilitation","score":0.6813541650772095},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6486719846725464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471419334411621},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.548708438873291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545509397983551},{"id":"https://openalex.org/keywords/biofeedback","display_name":"Biofeedback","score":0.531505286693573},{"id":"https://openalex.org/keywords/knee-joint","display_name":"Knee Joint","score":0.5273861885070801},{"id":"https://openalex.org/keywords/units-of-measurement","display_name":"Units of measurement","score":0.5060123801231384},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5032948851585388},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48406949639320374},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4242454171180725},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4193897247314453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35104990005493164},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.21180295944213867},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19094669818878174}],"concepts":[{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.6813541650772095},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6486719846725464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471419334411621},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.548708438873291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545509397983551},{"id":"https://openalex.org/C2776377089","wikidata":"https://www.wikidata.org/wiki/Q864329","display_name":"Biofeedback","level":2,"score":0.531505286693573},{"id":"https://openalex.org/C2908736133","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee Joint","level":2,"score":0.5273861885070801},{"id":"https://openalex.org/C151233233","wikidata":"https://www.wikidata.org/wiki/Q47574","display_name":"Units of measurement","level":2,"score":0.5060123801231384},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5032948851585388},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48406949639320374},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4242454171180725},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4193897247314453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35104990005493164},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.21180295944213867},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19094669818878174},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bsn.2018.8329649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2018.8329649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.03880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.03880","pdf_url":"https://arxiv.org/pdf/1812.03880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:researchrepository.ucd.ie:10197/9947","is_oa":true,"landing_page_url":"http://hdl.handle.net/10197/9947","pdf_url":"http://hdl.handle.net/10197/9947","source":{"id":"https://openalex.org/S4306402280","display_name":"Research Repository UCD (University College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100930933","host_organization_name":"University College Dublin","host_organization_lineage":["https://openalex.org/I100930933"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.03880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.03880","pdf_url":"https://arxiv.org/pdf/1812.03880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1993722932","https://openalex.org/W2029881158","https://openalex.org/W2108516461","https://openalex.org/W2131748372","https://openalex.org/W2133990480","https://openalex.org/W2149354205","https://openalex.org/W2158721732","https://openalex.org/W2167802917","https://openalex.org/W2510045439","https://openalex.org/W2604374527"],"related_works":["https://openalex.org/W1967422967","https://openalex.org/W2029881158","https://openalex.org/W3196140453","https://openalex.org/W2978426962","https://openalex.org/W3044242125","https://openalex.org/W2768468910","https://openalex.org/W2037990170","https://openalex.org/W2999148748","https://openalex.org/W2092597637","https://openalex.org/W2745898934"],"abstract_inverted_index":{"Inertial":[0],"measurement":[1,71],"units":[2],"have":[3],"the":[4,9,41,85,115],"ability":[5],"to":[6,62,67,117],"accurately":[7],"record":[8],"acceleration":[10],"and":[11,78,101,106,153],"angular":[12],"velocity":[13],"of":[14,84,95,150,159],"human":[15],"limb":[16],"segments":[17],"during":[18,75],"discrete":[19],"joint":[20],"movements.":[21],"These":[22],"movements":[23],"are":[24,109,167],"commonly":[25,163],"used":[26,164],"in":[27,112,165],"exercise":[28,86],"rehabilitation":[29,129],"programmes":[30],"following":[31],"orthopaedic":[32],"surgery":[33],"such":[34],"as":[35],"total":[36],"knee":[37,161],"replacement.":[38],"This":[39],"provides":[40],"potential":[42],"for":[43,51,114,127,156],"a":[44,124,133,140,157],"biofeedback":[45],"system":[46],"with":[47],"data":[48,73],"mining":[49],"technique":[50,116],"patients":[52],"undertaking":[53],"exercises":[54,162],"at":[55],"home":[56],"without":[57],"physician":[58],"supervision.":[59],"We":[60],"propose":[61],"use":[63],"machine":[64],"learning":[65],"techniques":[66],"automatically":[68],"analyse":[69],"inertial":[70],"unit":[72],"collected":[74],"these":[76],"exercises,":[77,130],"then":[79],"assess":[80],"whether":[81],"each":[82],"repetition":[83],"was":[87],"executed":[88],"correctly":[89],"or":[90],"not.":[91],"Our":[92],"approach":[93],"consists":[94],"two":[96],"main":[97],"phases:":[98],"signal":[99,142],"segmentation,":[100],"segment":[102],"classification.":[103],"Accurate":[104],"pre-processing":[105],"feature":[107],"extraction":[108],"paramount":[110],"topics":[111],"order":[113],"work.":[118],"In":[119],"this":[120],"paper,":[121],"we":[122],"present":[123],"classification":[125],"method":[126],"unsupervised":[128],"based":[131],"on":[132],"segmentation":[134],"process":[135],"that":[136],"extracts":[137],"repetitions":[138],"from":[139,147],"longer":[141],"activity.":[143],"The":[144],"results":[145],"obtained":[146],"experimental":[148],"datasets":[149],"both":[151],"clinical":[152],"healthy":[154],"subjects,":[155],"set":[158],"4":[160],"rehabilitation,":[166],"very":[168],"promising.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
