{"id":"https://openalex.org/W2762502511","doi":"https://doi.org/10.1109/mlsp.2017.8168133","title":"Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring","display_name":"Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2762502511","doi":"https://doi.org/10.1109/mlsp.2017.8168133","mag":"2762502511"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2017.8168133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2017.8168133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.00633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009290987","display_name":"Albert Vilamala","orcid":null},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Albert Vilamala","raw_affiliation_strings":["Technical University of Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032991538","display_name":"Kristoffer H. Madsen","orcid":"https://orcid.org/0000-0001-8606-7641"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kristoffer H. Madsen","raw_affiliation_strings":["Danish Research Centre for Magnetic Resonance","Technical University of Denmark"],"affiliations":[{"raw_affiliation_string":"Danish Research Centre for Magnetic Resonance","institution_ids":[]},{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018292103","display_name":"Lars Kai Hansen","orcid":"https://orcid.org/0000-0003-0442-5877"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Lars K. Hansen","raw_affiliation_strings":["Technical University of Denmark"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009290987"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":1.8447,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85407534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10985","display_name":"Sleep and Wakefulness Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9955999851226807,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6435920000076294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6377557516098022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094939708709717},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5794085264205933},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.46868422627449036},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4659104645252228},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.465120792388916},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42352089285850525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4138491153717041},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2201487123966217}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6435920000076294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377557516098022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094939708709717},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5794085264205933},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.46868422627449036},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4659104645252228},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.465120792388916},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42352089285850525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4138491153717041},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2201487123966217},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1109/mlsp.2017.8168133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2017.8168133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1710.00633","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00633","pdf_url":"https://arxiv.org/pdf/1710.00633","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2762502511","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1710.00633","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/91b82e24-1ebe-4f74-9551-5be0133cb0ae","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/91b82e24-1ebe-4f74-9551-5be0133cb0ae","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vilamala , A , Madsen , K H & Hansen , L K 2017 , Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring . in Proceedings of the 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) . IEEE , 27th International Workshop on Machine Learning for Signal Processing , Tokyo , Japan , 25/09/2017 . https://doi.org/10.1109/MLSP.2017.8168133","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:zenodo.org:1168073","is_oa":true,"landing_page_url":"https://zenodo.org/record/1168073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.48550/arxiv.1710.00633","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.00633","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.5281/zenodo.1168072","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1168072","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.5281/zenodo.1168073","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1168073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.00633","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00633","pdf_url":"https://arxiv.org/pdf/1710.00633","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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2762502511.pdf","grobid_xml":"https://content.openalex.org/works/W2762502511.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1504118426","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1996369579","https://openalex.org/W2062118960","https://openalex.org/W2095705004","https://openalex.org/W2111221339","https://openalex.org/W2131659142","https://openalex.org/W2134765652","https://openalex.org/W2144691514","https://openalex.org/W2147800946","https://openalex.org/W2148616726","https://openalex.org/W2150066253","https://openalex.org/W2155722796","https://openalex.org/W2162800060","https://openalex.org/W2180889008","https://openalex.org/W2513213398","https://openalex.org/W2529700114","https://openalex.org/W2559819140","https://openalex.org/W2604096629","https://openalex.org/W2949650786","https://openalex.org/W2949667497","https://openalex.org/W2950179405","https://openalex.org/W2953360861","https://openalex.org/W2953391683","https://openalex.org/W2962851944","https://openalex.org/W3152633770","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6674330103","https://openalex.org/W6674914833","https://openalex.org/W6682132143","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6685133223","https://openalex.org/W6687483927","https://openalex.org/W6727807574"],"related_works":["https://openalex.org/W2964065019","https://openalex.org/W2604096629","https://openalex.org/W2790486743","https://openalex.org/W3091714893","https://openalex.org/W2920016582","https://openalex.org/W1616126598","https://openalex.org/W2914895697","https://openalex.org/W3212502972","https://openalex.org/W2337818748","https://openalex.org/W3201470616","https://openalex.org/W3182909984","https://openalex.org/W2798264776","https://openalex.org/W2979395131","https://openalex.org/W3047178149","https://openalex.org/W2922255081","https://openalex.org/W2963919481","https://openalex.org/W2539353608","https://openalex.org/W2529700114","https://openalex.org/W2180889008","https://openalex.org/W2986716295"],"abstract_inverted_index":{"Sleep":[0],"studies":[1],"are":[2],"important":[3],"for":[4,45,133],"diagnosing":[5],"sleep":[6,13,21,78,109],"disorders":[7],"such":[8],"as":[9,83],"insomnia,":[10],"narcolepsy":[11],"or":[12],"apnea.":[14],"They":[15],"rely":[16],"on":[17,51],"manual":[18],"scoring":[19,49],"of":[20,36,77,100,136],"stages":[22,110],"from":[23,80],"raw":[24],"polisomnography":[25],"signals,":[26],"which":[27],"is":[28,115],"a":[29,86,97,103,119,131],"tedious":[30],"visual":[31,93,134],"task":[32],"requiring":[33],"the":[34,60],"workload":[35],"highly":[37],"trained":[38,90],"professionals.":[39],"Consequently,":[40],"research":[41],"efforts":[42],"to":[43,68,72,85,91,106,126],"purse":[44],"an":[46],"automatic":[47],"stage":[48],"based":[50],"machine":[52],"learning":[53],"techniques":[54],"have":[55],"been":[56],"carried":[57],"out":[58],"over":[59],"last":[61],"years.":[62],"In":[63],"this":[64],"work,":[65],"we":[66],"resort":[67],"multitaper":[69],"spectral":[70],"analysis":[71],"create":[73],"visually":[74],"interpretable":[75],"images":[76],"patterns":[79],"EEG":[81],"signals":[82],"inputs":[84],"deep":[87],"convolutional":[88],"network":[89],"solve":[92],"recognition":[94],"tasks.":[95],"As":[96],"working":[98],"example":[99],"transfer":[101],"learning,":[102],"system":[104],"able":[105],"accurately":[107],"classify":[108],"in":[111,118],"new":[112],"unseen":[113],"patients":[114],"presented.":[116],"Evaluations":[117],"widely-used":[120],"publicly":[121],"available":[122],"dataset":[123],"favourably":[124],"compare":[125],"state-of-the-art":[127],"results,":[128],"while":[129],"providing":[130],"framework":[132],"interpretation":[135],"outcomes.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}