{"id":"https://openalex.org/W2756701130","doi":null,"title":"Rhythm interpretation using deep learning neural networks","display_name":"Rhythm interpretation using deep learning neural networks","publication_year":2017,"publication_date":"2017-06-14","ids":{"openalex":"https://openalex.org/W2756701130","mag":"2756701130"},"language":"en","primary_location":{"id":"pmh:oai:brage.bibsys.no:11250/2455894","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11250/2455894","pdf_url":null,"source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11250/2455894","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077212719","display_name":"Daniel Eidsv\u00e5g","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniel Eidsv\u00e5g","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5077212719"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10645","display_name":"Cardiac Arrest and Resuscitation","score":0.03420000150799751,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency 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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/out-of-hospital-cardiac-arrest","display_name":"out-of-hospital cardiac arrest","score":0.9800000190734863},{"id":"https://openalex.org/keywords/rhythm-classification","display_name":"rhythm classification","score":0.621999979019165},{"id":"https://openalex.org/keywords/ecg","display_name":"ECG","score":0.4350000023841858},{"id":"https://openalex.org/keywords/chest-compression","display_name":"chest compression","score":0.8140000104904175},{"id":"https://openalex.org/keywords/automated-external-defibrillators","display_name":"automated external defibrillators","score":0.8939999938011169},{"id":"https://openalex.org/keywords/compression-artifacts","display_name":"compression artifacts","score":0.5770000219345093},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.6859999895095825},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.7129999995231628},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.693277895450592},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5693719387054443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5650479793548584},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5218538045883179},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5020503997802734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45902901887893677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3488955497741699},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12202546000480652},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06706395745277405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:brage.bibsys.no:11250/2455894","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11250/2455894","pdf_url":null,"source":{"id":"https://openalex.org/S4306400255","display_name":"BIBSYS Brage (BIBSYS (Norway))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173212132","host_organization_name":"Vilnius University","host_organization_lineage":["https://openalex.org/I173212132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master thesis"},{"id":"pmh:oai:uis.brage.unit.no:11250/2455894","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2455894","pdf_url":null,"source":{"id":"https://openalex.org/S7407064446","display_name":"NORA - Norwegian Open Research Archives","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"mag:2756701130","doi":null,"is_oa":false,"landing_page_url":"https://brage.bibsys.no/xmlui/bitstream/11250/2455894/3/Eidsvaag_Daniel.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:uis.brage.unit.no:11250/2455894","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11250/2455894","pdf_url":null,"source":{"id":"https://openalex.org/S7407064446","display_name":"NORA - Norwegian Open Research Archives","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8371999859809875,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1523493493","https://openalex.org/W1813659000","https://openalex.org/W1883664232","https://openalex.org/W2060871669","https://openalex.org/W2111858874","https://openalex.org/W2112796928","https://openalex.org/W2132241724","https://openalex.org/W2161252442"],"related_works":["https://openalex.org/W4390446985","https://openalex.org/W3099775559","https://openalex.org/W4409313779","https://openalex.org/W4367591560","https://openalex.org/W4406756353","https://openalex.org/W3135894801","https://openalex.org/W7010050651","https://openalex.org/W4409326199","https://openalex.org/W3030914328","https://openalex.org/W2909903983"],"abstract_inverted_index":{"Out-of-hospital":[0],"cardiac":[1,83,146],"arrest":[2],"(OHCA)":[3],"is":[4,52,59,116,150,184],"a":[5,76,97,105,130],"leading":[6],"cause":[7],"of":[8,47,61,82,113,208,217],"death":[9],"in":[10,65,79,107,173,178,189],"the":[11,43,62,80,134,190,201,213],"industrialized":[12],"world,":[13],"with":[14,104,168,205,220],"an":[15,53,206],"estimated":[16],"annual":[17],"incidence":[18],"that":[19,182],"varies":[20],"by":[21],"52.5":[22],"(in":[23,26,29,34],"Asia),":[24],"86.4":[25],"Europe),":[27],"98.1":[28],"North":[30],"America),":[31],"and":[32,56,73,175],"111.9":[33],"Australia)":[35],"per":[36],"100,000":[37],"person-years.":[38],"Lethal":[39],"ventricular":[40],"arrhythmias":[41],"are":[42,102],"most":[44,202],"frequent":[45],"causes":[46],"OHCA.":[48,68],"A":[49],"defibrillation":[50,58],"shock":[51],"effective":[54],"treatment,":[55],"early":[57],"one":[60],"key":[63,77],"factors":[64],"survival":[66,108],"from":[67,152,155],"However,":[69,198],"chest":[70,139],"compressions,":[71],"ventilations,":[72],"drug":[74],"play":[75],"role":[78],"treatment":[81],"arrest.":[84,147],"Under":[85],"resuscitation,":[86],"automated":[87],"external":[88],"defibrillator":[89],"(AED)":[90],"require":[91],"peri-shock":[92,101,143],"pauses":[93,144],"to":[94,109,117,132,141],"analyze":[95],"for":[96,195],"shockable":[98],"rhythm.":[99],"This":[100,210],"associated":[103],"decrease":[106],"hospital":[110],"discharge.\\n\\nThe":[111],"objective":[112],"this":[114,179],"thesis":[115,180],"determine":[118,133],"if":[119],"different":[120,191],"artificial":[121],"neural":[122,192],"network":[123,193],"(ANN)":[124],"structures":[125],"can":[126],"be":[127],"used":[128],"as":[129],"classifier,":[131],"underlying":[135],"heart":[136],"rhythm":[137,170],"under":[138],"compressions":[140],"remove":[142],"during":[145],"The":[148],"analysis":[149],"conducted":[151],"data":[153,219],"obtained":[154],"394":[156],"OHCA":[157],"patients,":[158],"where":[159],"two":[160],"datasets":[161],"were":[162],"used.":[163],"Both":[164],"containing":[165],"3-second":[166],"segments":[167],"clinical":[169],"annotations":[171],"resulting":[172],"2446":[174],"422415":[176],"segments.\\n\\nResults":[177],"suggest":[181],"there":[183],"no":[185],"clear":[186],"best":[187],"method":[188],"methods":[194],"ECG":[196,218],"data.":[197],"FNN":[199],"demonstrates":[200],"promising":[203],"results":[204],"accuracy":[207],"52.30%.":[209],"result":[211],"emphasizes":[212],"problem":[214],"regarding":[215],"classification":[216],"compression":[221],"artifacts.":[222]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2017-10-06T00:00:00"}