{"id":"https://openalex.org/W2762883245","doi":"https://doi.org/10.1109/ihtc.2017.8058190","title":"A hybrid wavelet based K-means clustering approach to detect intracranial hypertension","display_name":"A hybrid wavelet based K-means clustering approach to detect intracranial hypertension","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2762883245","doi":"https://doi.org/10.1109/ihtc.2017.8058190","mag":"2762883245"},"language":"en","primary_location":{"id":"doi:10.1109/ihtc.2017.8058190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ihtc.2017.8058190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Canada International Humanitarian Technology Conference (IHTC)","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/A5062779798","display_name":"Parisa Naraei","orcid":"https://orcid.org/0000-0003-4165-6789"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Parisa Naraei","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065400437","display_name":"Matyas Kenez","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matyas Kenez","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101846166","display_name":"Alireza Sadeghian","orcid":"https://orcid.org/0000-0002-7889-3772"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Sadeghian","raw_affiliation_strings":["Ryerson University, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto, ON, CA","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062779798"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.1691,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56123814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"4","issue":null,"first_page":"21","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7073599100112915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62053382396698},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6039790511131287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5649120211601257},{"id":"https://openalex.org/keywords/intracranial-pressure","display_name":"Intracranial pressure","score":0.47721153497695923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4729730188846588},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4535823464393616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3587656617164612},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25728529691696167},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15745049715042114}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7073599100112915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62053382396698},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6039790511131287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5649120211601257},{"id":"https://openalex.org/C2780954326","wikidata":"https://www.wikidata.org/wiki/Q1416096","display_name":"Intracranial pressure","level":2,"score":0.47721153497695923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4729730188846588},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4535823464393616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3587656617164612},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25728529691696167},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15745049715042114}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ihtc.2017.8058190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ihtc.2017.8058190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Canada International Humanitarian Technology Conference (IHTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W590134283","https://openalex.org/W1604810369","https://openalex.org/W1977556410","https://openalex.org/W1996021349","https://openalex.org/W2055433237","https://openalex.org/W2115113839","https://openalex.org/W2124080266","https://openalex.org/W2130878212","https://openalex.org/W2137242239","https://openalex.org/W2793110335","https://openalex.org/W4298352105","https://openalex.org/W6749051672"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Intracranial":[0],"pressure":[1,6],"(ICP)":[2],"refers":[3],"to":[4,13,26,60,95],"the":[5,8,19,23,27,31,62,84,88,97],"within":[7],"skull":[9],"and":[10,67,83],"is":[11,91],"known":[12],"have":[14,36],"significant":[15],"importance":[16],"in":[17,99],"revealing":[18],"compliance":[20],"state":[21],"of":[22,30,40,64],"brain.":[24],"Due":[25],"invasive":[28],"nature":[29],"ICP":[32,42],"measurement,":[33],"many":[34],"researches":[35],"attempted":[37],"noninvasive":[38],"approaches":[39],"colletcing":[41],"information":[43],"with":[44,79],"limited":[45],"clinical":[46],"applications.":[47],"In":[48],"this":[49],"paper,":[50],"a":[51,92],"wavelet":[52],"based":[53],"K-means":[54],"clustering":[55],"analysis":[56,72],"has":[57,73],"been":[58,74],"conducted":[59],"detect":[61,96],"patterns":[63,98],"physiological":[65],"signals":[66],"study":[68],"their":[69],"changes.":[70],"The":[71],"performed":[75],"on":[76],"20":[77],"patients":[78],"traumatic":[80],"brain":[81],"injuries":[82],"results":[85],"show":[86],"that":[87],"hybrid":[89],"approach":[90],"viable":[93],"method":[94],"an":[100],"unsupervised":[101],"manner.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}