{"id":"https://openalex.org/W3008189859","doi":"https://doi.org/10.1109/bigdata47090.2019.9006164","title":"A Data-Driven Approach to Kinematic Analytics of Spinal Motion","display_name":"A Data-Driven Approach to Kinematic Analytics of Spinal Motion","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008189859","doi":"https://doi.org/10.1109/bigdata47090.2019.9006164","mag":"3008189859"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075892602","display_name":"Aysenur Gencdogmus","orcid":null},"institutions":[{"id":"https://openalex.org/I123758333","display_name":"\u0130stanbul Sabahattin Zaim \u00dcniversitesi","ror":"https://ror.org/00xvwpq40","country_code":"TR","type":"education","lineage":["https://openalex.org/I123758333"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aysenur Gencdogmus","raw_affiliation_strings":["Department of Computer Engineering, Sabahattin Zaim University, Istanbul, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sabahattin Zaim University, Istanbul, TURKEY","institution_ids":["https://openalex.org/I123758333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057668020","display_name":"\u015eeref Recep Keskin","orcid":null},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Seref Recep Keskin","raw_affiliation_strings":["Department of Computer Engineering, Gazi University, Ankara, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gazi University, Ankara, TURKEY","institution_ids":["https://openalex.org/I95634034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014464159","display_name":"G\u00fcl\u00fcstan Do\u011fan","orcid":"https://orcid.org/0000-0003-0017-3318"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gulustan Dogan","raw_affiliation_strings":["Department of Computer Science, University of North Carolina Wilmington, North Carolina, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina Wilmington, North Carolina, NC, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021527290","display_name":"Yusuf \u00d6zt\u00fcrk","orcid":"https://orcid.org/0000-0002-1838-6322"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yusuf Ozturk","raw_affiliation_strings":["Department of Electrical and Computer Engineering, San Diego University, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, San Diego University, San Diego, USA","institution_ids":["https://openalex.org/I160856358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2222","last_page":"2229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10084","display_name":"Musculoskeletal pain and rehabilitation","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"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/T10084","display_name":"Musculoskeletal pain and rehabilitation","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9829000234603882,"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":0.9818999767303467,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7201836109161377},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6830640435218811},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6593897342681885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6400169134140015},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6362694501876831},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5971238613128662},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5754169821739197},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5485473871231079},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.544901430606842},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5076311826705933},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.49560439586639404},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4899722635746002},{"id":"https://openalex.org/keywords/back-pain","display_name":"Back pain","score":0.4313708543777466},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4204229712486267},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2891593873500824},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1504921317100525}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7201836109161377},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6830640435218811},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6593897342681885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6400169134140015},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6362694501876831},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5971238613128662},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5754169821739197},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5485473871231079},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.544901430606842},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5076311826705933},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.49560439586639404},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4899722635746002},{"id":"https://openalex.org/C2776501849","wikidata":"https://www.wikidata.org/wiki/Q5781808","display_name":"Back pain","level":3,"score":0.4313708543777466},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4204229712486267},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2891593873500824},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1504921317100525},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W113836369","https://openalex.org/W604466934","https://openalex.org/W1527786550","https://openalex.org/W2144836231","https://openalex.org/W2307035320","https://openalex.org/W2344284192","https://openalex.org/W2424778531","https://openalex.org/W2500228859","https://openalex.org/W2577415454","https://openalex.org/W2736191430","https://openalex.org/W2751337352","https://openalex.org/W2952587893","https://openalex.org/W2963855167","https://openalex.org/W2963993350","https://openalex.org/W6698200468","https://openalex.org/W6704286305"],"related_works":["https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W1538046993","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756","https://openalex.org/W2585372724","https://openalex.org/W2241444561"],"abstract_inverted_index":{"A":[0,111],"common":[1],"reason":[2],"for":[3,68,148],"low":[4,44],"back":[5,38,45,98],"pain":[6],"can":[7,19],"be":[8],"attributed":[9],"to":[10,43,85,96],"postural":[11,90],"stress.":[12],"While":[13],"seated":[14],"or":[15],"walking,":[16],"bad":[17],"posture":[18],"put":[20],"strain":[21],"on":[22,27],"the":[23,28,36,104,114,145],"spine.":[24],"Increased":[25],"stress":[26,91],"spine":[29,87],"may":[30,41],"induce":[31],"tightness":[32],"and":[33,40,56,71,81,89,119,136],"spasms":[34],"in":[35,134],"lower":[37,97],"muscles":[39],"lead":[42],"pain.":[46],"Recognition":[47],"of":[48,61,99,113,116,138,151],"unstructured":[49],"daily":[50,62,109,139],"activities":[51,63,140],"becomes":[52,64],"a":[53,100],"more":[54,65],"difficult":[55],"essential":[57],"task,":[58],"as":[59],"monitoring":[60],"important,":[66],"especially":[67],"helping":[69],"sick":[70],"elderly":[72],"people.":[73],"In":[74,143],"this":[75],"study,":[76],"we":[77],"employ":[78],"deep":[79,117],"learning":[80,83,118,122],"machine":[82,121],"methods":[84],"study":[86],"motion":[88],"using":[92],"two":[93],"sensors":[94],"attached":[95],"healthy":[101],"subject":[102,105],"while":[103],"is":[106,141],"performing":[107],"regular":[108],"activities.":[110],"comparison":[112],"accuracy":[115],"supervised":[120],"approaches":[123],"(Decision":[124],"Tree,":[125],"Random":[126],"Forest,":[127],"Gradient":[128],"Boosting,":[129],"AdaBoost,":[130],"KNN,":[131],"Naive":[132],"Bayes)":[133],"identification":[135],"labeling":[137],"provided.":[142],"addition,":[144],"effective":[146],"values":[147],"hyper":[149],"parameters":[150],"LSTM":[152,158],"neural":[153,159],"networks":[154,160],"have":[155],"been":[156],"determined.":[157],"achieved":[161],"highest":[162],"accuracy.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}