{"id":"https://openalex.org/W2945687045","doi":"https://doi.org/10.1109/ner.2019.8716960","title":"Rhythmical Index of Ictal High Frequency Oscillations in Stereo-Electroencephalograph from Epileptic Patients","display_name":"Rhythmical Index of Ictal High Frequency Oscillations in Stereo-Electroencephalograph from Epileptic Patients","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2945687045","doi":"https://doi.org/10.1109/ner.2019.8716960","mag":"2945687045"},"language":"en","primary_location":{"id":"doi:10.1109/ner.2019.8716960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2019.8716960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","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/A5100440507","display_name":"Chunsheng Li","orcid":"https://orcid.org/0000-0002-4802-5720"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Li","raw_affiliation_strings":["Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088093017","display_name":"Peng fei Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Qiao","raw_affiliation_strings":["Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110187999","display_name":"Guanqian Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129955","display_name":"General Hospital of Shenyang Military Region","ror":"https://ror.org/0340t0585","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqian Yuan","raw_affiliation_strings":["Department of Neurosurgery, General Hospital of Shenyang Military, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, General Hospital of Shenyang Military, Shenyang, China","institution_ids":["https://openalex.org/I4210129955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3096,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45428296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"97","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9983999729156494,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stereoelectroencephalography","display_name":"Stereoelectroencephalography","score":0.819085419178009},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.6786110997200012},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5424405336380005},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5293864607810974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170834064483643},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46913573145866394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46067342162132263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4480493664741516},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.40544024109840393},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32903456687927246},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18323439359664917},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1051008403301239}],"concepts":[{"id":"https://openalex.org/C98254291","wikidata":"https://www.wikidata.org/wiki/Q7611238","display_name":"Stereoelectroencephalography","level":4,"score":0.819085419178009},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.6786110997200012},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5424405336380005},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5293864607810974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170834064483643},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46913573145866394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46067342162132263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4480493664741516},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.40544024109840393},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32903456687927246},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18323439359664917},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1051008403301239},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ner.2019.8716960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2019.8716960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1582703563","https://openalex.org/W1941650629","https://openalex.org/W1990627393","https://openalex.org/W2000837205","https://openalex.org/W2005950280","https://openalex.org/W2014502281","https://openalex.org/W2020563598","https://openalex.org/W2027853280","https://openalex.org/W2054304066","https://openalex.org/W2055726526","https://openalex.org/W2062706202","https://openalex.org/W2087683419","https://openalex.org/W2120390927","https://openalex.org/W2123848958","https://openalex.org/W2558902621","https://openalex.org/W2607095142","https://openalex.org/W2750726111","https://openalex.org/W6651887742","https://openalex.org/W6736259451"],"related_works":["https://openalex.org/W1990505203","https://openalex.org/W4390753748","https://openalex.org/W4383069276","https://openalex.org/W1582245736","https://openalex.org/W2002883692","https://openalex.org/W4394739643","https://openalex.org/W2790392165","https://openalex.org/W2784657605","https://openalex.org/W4392121839","https://openalex.org/W2472690934"],"abstract_inverted_index":{"High-frequency":[0],"oscillations":[1,24],"(HFOs)":[2],"are":[3,111],"considered":[4],"reliable":[5],"markers":[6],"of":[7,26,58,70,106],"epileptic":[8],"tissues.":[9],"Digital":[10],"filter":[11],"is":[12,48,61,75],"widely":[13],"used":[14],"to":[15,65],"extract":[16,98],"the":[17,66],"HFOs,":[18],"but":[19],"it":[20],"also":[21],"introduces":[22],"fake":[23],"because":[25],"Gibbs":[27],"effects.":[28],"In":[29],"this":[30],"paper":[31],"we":[32],"propose":[33],"a":[34],"pipeline":[35,96,118],"for":[36,128],"HFOs":[37,60,99,107],"extraction":[38],"using":[39],"ensemble":[40],"empirical":[41],"mode":[42,52],"decomposition":[43],"(EEMD)":[44],"method.":[45],"Stereo-Electroencephalograph":[46],"(SEEG)":[47],"decomposed":[49],"into":[50],"intrinsic":[51],"functions":[53],"(IMFs).":[54],"Rhythmical":[55],"index":[56],"(RI)":[57],"detected":[59],"calculated,":[62],"which":[63],"corresponds":[64],"normalized":[67],"angular":[68],"acceleration":[69],"oscillation.":[71],"The":[72,116],"ictal":[73,101],"SEEG":[74,102],"processed":[76],"with":[77,119],"nine":[78],"seizures":[79],"recorded":[80],"from":[81,100],"three":[82],"patients,":[83],"who":[84],"underwent":[85],"surgical":[86],"intervention":[87],"and":[88],"got":[89],"seizure":[90],"free.":[91],"Results":[92],"show":[93],"that":[94],"proposed":[95,117],"can":[97],"automatically.":[103],"RI":[104,120],"values":[105],"in":[108],"resected":[109],"area":[110],"higher":[112],"than":[113],"non-resected":[114],"area.":[115],"measure":[121],"may":[122],"serve":[123],"as":[124],"an":[125],"effective":[126],"way":[127],"extracting":[129],"pathological":[130],"HFOs.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}