{"id":"https://openalex.org/W2767634396","doi":"https://doi.org/10.1109/icdsp.2017.8096122","title":"Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum","display_name":"Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2767634396","doi":"https://doi.org/10.1109/icdsp.2017.8096122","mag":"2767634396"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2017.8096122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","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/A5010942815","display_name":"Abhijit Bhattacharyya","orcid":"https://orcid.org/0000-0003-2305-6878"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhijit Bhattacharyya","raw_affiliation_strings":["Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023527827","display_name":"Vipin Gupta","orcid":"https://orcid.org/0000-0003-3502-8153"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vipin Gupta","raw_affiliation_strings":["Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030314469","display_name":"Ram Bilas Pachori","orcid":"https://orcid.org/0000-0002-6061-4309"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Bilas Pachori","raw_affiliation_strings":["Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India"],"affiliations":[{"raw_affiliation_string":"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010942815"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":1.9225,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86155938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9907000064849854,"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/electroencephalography","display_name":"Electroencephalography","score":0.7366883754730225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6950783729553223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532405614852905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5459482073783875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5358686447143555},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5012407302856445},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4959889352321625},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4696827530860901},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4492756128311157},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4432372450828552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3868195414543152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09616473317146301}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7366883754730225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6950783729553223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532405614852905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5459482073783875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5358686447143555},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5012407302856445},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4959889352321625},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4696827530860901},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4492756128311157},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4432372450828552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3868195414543152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09616473317146301},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2017.8096122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1969946769","https://openalex.org/W1981211771","https://openalex.org/W2001612033","https://openalex.org/W2005305683","https://openalex.org/W2007221293","https://openalex.org/W2019900743","https://openalex.org/W2030551418","https://openalex.org/W2041404167","https://openalex.org/W2053153607","https://openalex.org/W2053744708","https://openalex.org/W2071341607","https://openalex.org/W2077640225","https://openalex.org/W2091752829","https://openalex.org/W2114723491","https://openalex.org/W2133990480","https://openalex.org/W2170498245","https://openalex.org/W2332237006","https://openalex.org/W2462271429","https://openalex.org/W2554037086","https://openalex.org/W2560897477","https://openalex.org/W2568407436","https://openalex.org/W2593774412","https://openalex.org/W2598587204","https://openalex.org/W2603490707","https://openalex.org/W2606301878","https://openalex.org/W2888893520","https://openalex.org/W2911964244","https://openalex.org/W2969734899","https://openalex.org/W6729774080","https://openalex.org/W6766724738"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2361368121","https://openalex.org/W2077021924","https://openalex.org/W2121409977","https://openalex.org/W2331313489"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,70],"new":[4],"method":[5,44,159],"for":[6,132,160],"the":[7,31,35,38,77,84,110,123,154,157,161],"classification":[8,145,162],"of":[9,34,62,109,136,156,163],"epileptic":[10,164],"seizure":[11,137,165],"electroencephalogram":[12],"(EEG)":[13],"signals.":[14,167],"Empirical":[15],"wavelet":[16],"transform":[17,92],"(EWT)":[18],"based":[19,41,79,117],"Hilbert":[20],"marginal":[21],"spectrum":[22,33,87],"(HMS)":[23],"has":[24,45],"been":[25,46,67,98],"derived.":[26],"In":[27],"order":[28],"to":[29,52,105,128],"segment":[30],"Fourier":[32,86,91],"EEG":[36,54,111,134,166],"signals,":[37],"scale-space":[39],"representation":[40],"boundary":[42],"detection":[43],"employed.":[47],"Then,":[48],"EWT":[49,78],"is":[50,81,120],"used":[51],"decompose":[53],"signals":[55,59,65,112,135],"into":[56],"narrow":[57],"sub-band":[58,64],"and":[60,113,138],"HMS":[61,80],"these":[63,101],"have":[66,97,142],"computed.":[68],"For":[69],"synthetically":[71],"generated":[72],"multi-component":[73],"frequency":[74],"modulated":[75],"signal,":[76],"compared":[82],"with":[83,147],"conventional":[85],"obtained":[88],"using":[89],"fast":[90],"(FFT)":[93],"algorithm.":[94],"Three":[95],"features":[96,125],"extracted":[99],"from":[100],"HMSs":[102],"which":[103,152],"belong":[104],"distinct":[106],"oscillatory":[107],"levels":[108],"probability":[114],"(p)":[115],"value":[116],"feature":[118],"ranking":[119],"performed.":[121],"Finally,":[122],"selected":[124],"are":[126],"fed":[127],"random":[129],"forest":[130],"classifier":[131],"classifying":[133],"seizure-free":[139],"classes.":[140],"We":[141],"achieved":[143],"99.3%":[144],"accuracy":[146],"only":[148],"50%":[149],"training":[150],"rate":[151],"shows":[153],"usefulness":[155],"proposed":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}