{"id":"https://openalex.org/W1983356407","doi":"https://doi.org/10.1109/icics.2013.6782953","title":"Quantitative non-stationary assessment of cardiovascular diseases based on arterial blood pressure waveform by using Hilbert-Huang transform","display_name":"Quantitative non-stationary assessment of cardiovascular diseases based on arterial blood pressure waveform by using Hilbert-Huang transform","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1983356407","doi":"https://doi.org/10.1109/icics.2013.6782953","mag":"1983356407"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2013.6782953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","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/A5013028851","display_name":"Chia\u2010Chi Chang","orcid":"https://orcid.org/0000-0002-9225-7676"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Chi Chang","raw_affiliation_strings":["Institute of Computer Science and Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","Inst. of Comput. Sci. & Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Engineering, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Inst. of Comput. Sci. & Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022358782","display_name":"Hung\u2010Yi Hsu","orcid":"https://orcid.org/0000-0002-4064-5490"},"institutions":[{"id":"https://openalex.org/I91279580","display_name":"Chung Shan Medical University","ror":"https://ror.org/059ryjv25","country_code":"TW","type":"education","lineage":["https://openalex.org/I91279580"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Yi Hsu","raw_affiliation_strings":["Department of Neurology, Chung-Shan Medical University, Taiwan, R.O.C","Dept. of Neurology, Chung-Shan Med. Univ., Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Neurology, Chung-Shan Medical University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91279580"]},{"raw_affiliation_string":"Dept. of Neurology, Chung-Shan Med. Univ., Taoyuan, Taiwan","institution_ids":["https://openalex.org/I91279580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109883093","display_name":"Tzu\u2010Chien Hsiao","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chien Hsiao","raw_affiliation_strings":["Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao-Tung University, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013028851"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06967528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"252","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9958999752998352,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9947999715805054,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9585773944854736},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.6892962455749512},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.5836914777755737},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.5451369881629944},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5342993140220642},{"id":"https://openalex.org/keywords/orthostatic-vital-signs","display_name":"Orthostatic vital signs","score":0.49684885144233704},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4881744980812073},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.46593207120895386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.370053768157959},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.27250033617019653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2228279411792755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19655314087867737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16687151789665222}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9585773944854736},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.6892962455749512},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.5836914777755737},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.5451369881629944},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5342993140220642},{"id":"https://openalex.org/C73787029","wikidata":"https://www.wikidata.org/wiki/Q7104929","display_name":"Orthostatic vital signs","level":3,"score":0.49684885144233704},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4881744980812073},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46593207120895386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.370053768157959},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.27250033617019653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2228279411792755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19655314087867737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16687151789665222}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2013.6782953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"},{"display_name":"Good health and well-being","score":0.5,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W375436752","https://openalex.org/W1978521656","https://openalex.org/W2007221293","https://openalex.org/W2013708191","https://openalex.org/W2107558893","https://openalex.org/W2160097539","https://openalex.org/W2345103170"],"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/W2380939102","https://openalex.org/W2089603224","https://openalex.org/W1991001811","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Analysis":[0],"of":[1,10,41,56,62,124,133,152,164],"arterial":[2],"blood":[3],"pressure":[4],"(ABP)":[5],"signal":[6],"provides":[7],"valuable":[8],"information":[9],"cardiovascular":[11,63,165],"function.":[12],"But":[13],"ABP's":[14,49,67],"non-stationary":[15,26,50],"characteristics":[16,27,51,123],"are":[17],"still":[18],"unclear":[19],"and":[20,36,52,77,83,135,139,149,158],"it":[21],"is":[22,44],"hard":[23],"to":[24,45,87],"evaluate":[25,47],"by":[28,59,72,80,130],"stationary":[29],"analysis":[30],"method,":[31],"such":[32],"as":[33],"Fourier":[34],"transform":[35],"wavelet":[37],"transform.":[38],"The":[39,118],"aim":[40],"the":[42,48,54,60,88,93,113,122,131,147],"study":[43,61],"quantitatively":[46],"examine":[53],"feasibility":[55],"this":[57],"method":[58,143],"diseases":[64],"patients.":[65],"Eight":[66],"intrinsic":[68],"features":[69],"were":[70,78,127],"extracted":[71],"empirical":[73],"mode":[74],"decomposition":[75],"(EMD)":[76],"evaluated":[79],"averaged":[81,137],"period":[82],"energy":[84,140],"density":[85],"according":[86],"spectral":[89],"integration":[90],"method.":[91],"In":[92],"study,":[94],"33":[95],"subjects":[96,157],"(15":[97],"healthy":[98,156],"subjects,":[99],"7":[100],"patients":[101,106,159],"with":[102,107,160],"autonomic":[103,162],"failure,":[104],"11":[105],"orthostatic":[108],"tachycardia":[109],"syndrome)":[110],"participated":[111],"in":[112,154],"passive":[114],"head-up":[115],"tilt":[116],"experiment.":[117],"results":[119],"showed":[120],"that":[121],"ABP":[125,153],"fluctuation":[126],"clearly":[128],"presented":[129],"changes":[132],"IMFs":[134],"corresponding":[136],"periods":[138],"density.":[141],"This":[142],"was":[144],"feasible":[145],"for":[146],"qualitative":[148],"quantitative":[150],"assessment":[151],"normal":[155],"impaired":[161],"regulation":[163],"system.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
