{"id":"https://openalex.org/W2032192847","doi":"https://doi.org/10.1109/siu.2013.6531406","title":"Predicting VO&lt;inf&gt;2&lt;/inf&gt;max from submaximal exercise and non-exercise data using artificial neural networks","display_name":"Predicting VO&lt;inf&gt;2&lt;/inf&gt;max from submaximal exercise and non-exercise data using artificial neural networks","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2032192847","doi":"https://doi.org/10.1109/siu.2013.6531406","mag":"2032192847"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2013.6531406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","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/A5108281337","display_name":"Mehmet Fatih Akay","orcid":null},"institutions":[{"id":"https://openalex.org/I55931168","display_name":"Cukurova University","ror":"https://ror.org/05wxkj555","country_code":"TR","type":"education","lineage":["https://openalex.org/I55931168"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M. F. Akay","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u00c7ukurova \u00dcniversitesi, Adana, Turkey","Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u00c7ukurova \u00dcniversitesi, Adana, Turkey","institution_ids":["https://openalex.org/I55931168"]},{"raw_affiliation_string":"Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey","institution_ids":["https://openalex.org/I55931168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000096475","display_name":"E. Akturk","orcid":null},"institutions":[{"id":"https://openalex.org/I55931168","display_name":"Cukurova University","ror":"https://ror.org/05wxkj555","country_code":"TR","type":"education","lineage":["https://openalex.org/I55931168"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"E. Akturk","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u00c7ukurova \u00dcniversitesi, Adana, Turkey","Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u00c7ukurova \u00dcniversitesi, Adana, Turkey","institution_ids":["https://openalex.org/I55931168"]},{"raw_affiliation_string":"Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey","institution_ids":["https://openalex.org/I55931168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077647281","display_name":"A. E. Tuncdemir","orcid":null},"institutions":[{"id":"https://openalex.org/I32172342","display_name":"\u00c7a\u011f University","ror":"https://ror.org/00nt6ka44","country_code":"TR","type":"education","lineage":["https://openalex.org/I32172342"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. E. Tuncdemir","raw_affiliation_strings":["Matematik-Bilgisayar B\u00f6l\u00fcm\u00fc, \u00c7a\u011f \u00dcniversitesi, Mersin, Turkey","Matematik-Bilgisayar Bolumu, Cag Univ., Mersin, Turkey"],"affiliations":[{"raw_affiliation_string":"Matematik-Bilgisayar B\u00f6l\u00fcm\u00fc, \u00c7a\u011f \u00dcniversitesi, Mersin, Turkey","institution_ids":["https://openalex.org/I32172342"]},{"raw_affiliation_string":"Matematik-Bilgisayar Bolumu, Cag Univ., Mersin, Turkey","institution_ids":["https://openalex.org/I32172342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033905991","display_name":"Nabanita Sen","orcid":null},"institutions":[{"id":"https://openalex.org/I32172342","display_name":"\u00c7a\u011f University","ror":"https://ror.org/00nt6ka44","country_code":"TR","type":"education","lineage":["https://openalex.org/I32172342"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"N. N. Sen","raw_affiliation_strings":["Matematik-Bilgisayar B\u00f6l\u00fcm\u00fc, \u00c7a\u011f \u00dcniversitesi, Mersin, Turkey","Matematik-Bilgisayar Bolumu, Cag Univ., Mersin, Turkey"],"affiliations":[{"raw_affiliation_string":"Matematik-Bilgisayar B\u00f6l\u00fcm\u00fc, \u00c7a\u011f \u00dcniversitesi, Mersin, Turkey","institution_ids":["https://openalex.org/I32172342"]},{"raw_affiliation_string":"Matematik-Bilgisayar Bolumu, Cag Univ., Mersin, Turkey","institution_ids":["https://openalex.org/I32172342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108281337"],"corresponding_institution_ids":["https://openalex.org/I55931168"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14415613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11209","display_name":"Cardiovascular and exercise physiology","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T11209","display_name":"Cardiovascular and exercise physiology","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T10157","display_name":"Sports Performance and Training","score":0.9860000014305115,"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"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9729999899864197,"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/support-vector-machine","display_name":"Support vector machine","score":0.6745479106903076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6496541500091553},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.6383435726165771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5516638159751892},{"id":"https://openalex.org/keywords/treadmill","display_name":"Treadmill","score":0.5063284635543823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4894081652164459},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45174217224121094},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4399759769439697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4335383176803589},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3588852286338806},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.21525117754936218},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17750617861747742}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6745479106903076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6496541500091553},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6383435726165771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5516638159751892},{"id":"https://openalex.org/C2781464450","wikidata":"https://www.wikidata.org/wiki/Q839144","display_name":"Treadmill","level":2,"score":0.5063284635543823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4894081652164459},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45174217224121094},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4399759769439697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4335383176803589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3588852286338806},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.21525117754936218},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17750617861747742}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2013.6531406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:openaccess.cag.edu.tr:20.500.12507/428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/SIU.2013.6531406","pdf_url":null,"source":{"id":"https://openalex.org/S7407055243","display_name":"\u00c7a\u011f University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W614245636","https://openalex.org/W1515162079","https://openalex.org/W1969659428","https://openalex.org/W1976414397","https://openalex.org/W1977210297","https://openalex.org/W1979040475","https://openalex.org/W2006192762","https://openalex.org/W2009514068","https://openalex.org/W2010563427","https://openalex.org/W2016952042","https://openalex.org/W2033834589","https://openalex.org/W2037833214","https://openalex.org/W2067264851","https://openalex.org/W2070540654","https://openalex.org/W2078660508","https://openalex.org/W2078691720","https://openalex.org/W2088991769","https://openalex.org/W2089268064","https://openalex.org/W2103089817","https://openalex.org/W2118244591","https://openalex.org/W2157022830","https://openalex.org/W4247073627","https://openalex.org/W6619180450","https://openalex.org/W6677954076","https://openalex.org/W7073833705"],"related_works":["https://openalex.org/W2385200445","https://openalex.org/W2384344231","https://openalex.org/W2610868774","https://openalex.org/W2347818927","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W1915333409","https://openalex.org/W2067978098"],"abstract_inverted_index":{"The":[0,84],"purpose":[1],"of":[2,42,50,86],"this":[3],"study":[4],"is":[5,56,107],"to":[6],"develop":[7],"new":[8],"multilayer":[9],"feed-forward":[10],"artificial":[11],"neural":[12],"network":[13],"(ANN)-based":[14],"maximal":[15],"oxygen":[16],"uptake":[17],"(VO":[18],"<sub":[19,122],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[20,123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[21,124],"max)":[22],"prediction":[23],"models":[24,52,60,88,111,118],"by":[25,96],"using":[26],"submaximal":[27,78],"treadmill":[28],"exercise":[29],"and":[30,45,65,71,79,101,116],"nonexercise":[31,64,81],"data.":[32],"Using":[33],"10-fold":[34],"cross":[35],"validation":[36],"on":[37],"the":[38,51,59,75,93],"dataset,":[39],"standard":[40,63,80],"error":[41],"estimate":[43],"(SEE)":[44],"multiple":[46],"correlation":[47],"coefficient":[48],"(R)":[49],"are":[53,89],"calculated.":[54],"It":[55,106],"shown":[57,108],"that":[58,109],"including":[61,77],"submaximal,":[62],"questionnaire":[66],"variables":[67,82],"yield":[68],"higher":[69],"R":[70],"lower":[72],"SEE":[73],"than":[74,114],"ones":[76,94],"only.":[83],"results":[85],"ANN-based":[87,110],"also":[90],"compared":[91],"with":[92],"obtained":[95],"Multiple":[97],"Linear":[98],"Regression":[99],"(MLR)":[100],"Support":[102],"Vector":[103],"Machines":[104],"(SVM).":[105],"perform":[112],"better":[113],"MLR":[115],"SVM-based":[117],"for":[119],"predicting":[120],"VO":[121],"max.":[125]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
