{"id":"https://openalex.org/W2124948376","doi":"https://doi.org/10.1109/iri.2009.5211620","title":"Processing of Transcranial Doppler for assessment of blood volume loss","display_name":"Processing of Transcranial Doppler for assessment of blood volume loss","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2124948376","doi":"https://doi.org/10.1109/iri.2009.5211620","mag":"2124948376"},"language":"en","primary_location":{"id":"doi:10.1109/iri.2009.5211620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse &amp; Integration","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/A5023248483","display_name":"Roya Hakimzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roya Hakimzadeh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Charlotte, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Charlotte, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064772845","display_name":"Soo-Yeon Ji","orcid":"https://orcid.org/0000-0003-2677-2773"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soo-Yeon Ji","raw_affiliation_strings":["Department of Computer Science, Virginia Commonwealth University, USA","[Department of Computer Science, Virginia Commonwealth University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Commonwealth University, USA","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"[Department of Computer Science, Virginia Commonwealth University]","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008518472","display_name":"Rebecca Smith","orcid":"https://orcid.org/0000-0002-1658-5635"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca Smith","raw_affiliation_strings":["Department of Computer Science, Virginia Commonwealth University, USA","[Department of Computer Science, Virginia Commonwealth University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Virginia Commonwealth University, USA","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"[Department of Computer Science, Virginia Commonwealth University]","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045618287","display_name":"Kevin R. Ward","orcid":"https://orcid.org/0000-0001-5939-409X"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Ward","raw_affiliation_strings":["Virginia Commonwealth University, Richmond, VA, US","Department of Emergency Medicine, Virginia Commonwealth University and Virginia Commonwealth University Reanimation Engineering Shock"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, Richmond, VA, US","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"Department of Emergency Medicine, Virginia Commonwealth University and Virginia Commonwealth University Reanimation Engineering Shock","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109467196","display_name":"Kasra Daneshvar","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]},{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kasra Daneshvar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Charlotte, USA","Dept. Of Electr. & Comput. Eng., Univ. of North Carolina at Charlotte, Charlotte, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Charlotte, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. Of Electr. & Comput. Eng., Univ. of North Carolina at Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvan Najarian","raw_affiliation_strings":["Virginia Commonwealth University, Richmond, VA, US","Department of Computer Science, Virginia Commonwealth University and Virginia Commonwealth University Reanimation Engineering Shock#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University, Richmond, VA, US","institution_ids":["https://openalex.org/I184840846"]},{"raw_affiliation_string":"Department of Computer Science, Virginia Commonwealth University and Virginia Commonwealth University Reanimation Engineering Shock#TAB#","institution_ids":["https://openalex.org/I184840846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23811079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"6","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9977999925613403,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/transcranial-doppler","display_name":"Transcranial Doppler","score":0.6485017538070679},{"id":"https://openalex.org/keywords/shock","display_name":"Shock (circulatory)","score":0.5441478490829468},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4898781180381775},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.48284465074539185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.431308388710022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41711172461509705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133455753326416},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1991918683052063},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15730959177017212}],"concepts":[{"id":"https://openalex.org/C191616109","wikidata":"https://www.wikidata.org/wiki/Q3512319","display_name":"Transcranial Doppler","level":2,"score":0.6485017538070679},{"id":"https://openalex.org/C2781300812","wikidata":"https://www.wikidata.org/wiki/Q178061","display_name":"Shock (circulatory)","level":2,"score":0.5441478490829468},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4898781180381775},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48284465074539185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.431308388710022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41711172461509705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133455753326416},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1991918683052063},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15730959177017212}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iri.2009.5211620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iri.2009.5211620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Information Reuse &amp; Integration","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338321","display_name":"U.S. Army Institute of Surgical Research","ror":"https://ror.org/02gb0hd06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W139163319","https://openalex.org/W1485718599","https://openalex.org/W1512748702","https://openalex.org/W1540007258","https://openalex.org/W1597293064","https://openalex.org/W1966280301","https://openalex.org/W1985415265","https://openalex.org/W2020014449","https://openalex.org/W2050829396","https://openalex.org/W2093582280","https://openalex.org/W2096365100","https://openalex.org/W2109690851","https://openalex.org/W2115755118","https://openalex.org/W2133589238","https://openalex.org/W2140494000","https://openalex.org/W2151499534","https://openalex.org/W2256588869","https://openalex.org/W2285072859"],"related_works":["https://openalex.org/W2424918398","https://openalex.org/W4210477685","https://openalex.org/W2385595091","https://openalex.org/W2573946006","https://openalex.org/W3028726122","https://openalex.org/W2122101800","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Among":[0],"all":[1],"fields":[2],"of":[3,24,35,42,64,66,92,129,137,147,154],"critical":[4],"patient":[5],"care,":[6],"hemorrhagic":[7,43],"shock,":[8],"which":[9,94],"is":[10,16,28,56,95,104,132],"encountered":[11],"in":[12],"most":[13],"traumatic":[14],"injuries,":[15],"a":[17],"significant":[18],"factor":[19],"associated":[20],"with":[21],"the":[22,33,40,62,88,118,143,151],"chance":[23],"survival.":[25],"Then,":[26],"it":[27],"highly":[29],"desirable":[30],"to":[31,58,133],"assess":[32,134],"severity":[34,65],"blood":[36,67],"loss":[37,68],"and":[38,60,73,78,120,123],"predict":[39,59],"occurrence":[41],"shock":[44],"(HS)":[45],"from":[46],"biomedical":[47],"signals.":[48],"In":[49],"this":[50,83,130,148],"study,":[51],"Transcranial":[52],"Doppler":[53],"(TCD)":[54],"signal":[55,140],"used":[57],"classify":[61],"degree":[63],"either":[69],"as":[70,76],"mild,":[71],"moderate,":[72],"severe":[74,77],"or":[75],"non-severe.":[79],"The":[80,102,112,127,145],"data":[81],"for":[82,141,161],"study":[84,131,149],"were":[85],"generated":[86],"using":[87,117],"human":[89],"simulated":[90],"model":[91],"hemorrhage":[93],"called":[96],"lower":[97],"body":[98],"negative":[99],"pressure":[100],"(LBNP).":[101],"analysis":[103],"done":[105],"by":[106,157],"applying":[107],"discrete":[108],"wavelet":[109],"transformation":[110],"(DWT).":[111],"wavelet-based":[113],"features":[114],"are":[115],"defined":[116],"detail":[119],"approximate":[121],"coefficients":[122],"machine":[124,160],"learning":[125],"algorithms.":[126],"objective":[128],"our":[135],"methods":[136],"processing":[138],"TCD":[139],"predicting":[142,162],"hemorrhagic.":[144],"results":[146],"show":[150],"prediction":[152],"accuracy":[153],"84.2%":[155],"achieved":[156],"support":[158],"vector":[159],"severe/non-severe":[163],"states.":[164]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
