{"id":"https://openalex.org/W4312871086","doi":"https://doi.org/10.1109/ickii55100.2022.9983601","title":"A CNN Approach To Predicting Non-Invasive Blood Pressure of Surgical Patients","display_name":"A CNN Approach To Predicting Non-Invasive Blood Pressure of Surgical Patients","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312871086","doi":"https://doi.org/10.1109/ickii55100.2022.9983601"},"language":"en","primary_location":{"id":"doi:10.1109/ickii55100.2022.9983601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","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/A5000949761","display_name":"Pin-You Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I70522481","display_name":"National Changhua University of Education","ror":"https://ror.org/005gkfa10","country_code":"TW","type":"education","lineage":["https://openalex.org/I70522481"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pin-You Ko","raw_affiliation_strings":["National Changhua University of Education,Department of Computer Science and Information Engineering,Changhua,Taiwan","Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Changhua University of Education,Department of Computer Science and Information Engineering,Changhua,Taiwan","institution_ids":["https://openalex.org/I70522481"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan","institution_ids":["https://openalex.org/I70522481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111935878","display_name":"Lien\u2010Fu Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I70522481","display_name":"National Changhua University of Education","ror":"https://ror.org/005gkfa10","country_code":"TW","type":"education","lineage":["https://openalex.org/I70522481"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lien-Fu Lai","raw_affiliation_strings":["National Changhua University of Education,Department of Computer Science and Information Engineering,Changhua,Taiwan","Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Changhua University of Education,Department of Computer Science and Information Engineering,Changhua,Taiwan","institution_ids":["https://openalex.org/I70522481"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan","institution_ids":["https://openalex.org/I70522481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108351592","display_name":"Tien-Hsiung Ku","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159511","display_name":"Changhua Christian Hospital","ror":"https://ror.org/05d9dtr71","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210159511"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tien-Hsiung Ku","raw_affiliation_strings":["Changhua Christian Hospital,AI Development Center,Department of Anesthesiology,Changhua,Taiwan","Department of Anesthesiology, AI Development Center, Changhua Christian Hospital, Changhua, Taiwan"],"affiliations":[{"raw_affiliation_string":"Changhua Christian Hospital,AI Development Center,Department of Anesthesiology,Changhua,Taiwan","institution_ids":["https://openalex.org/I4210159511"]},{"raw_affiliation_string":"Department of Anesthesiology, AI Development Center, Changhua Christian Hospital, Changhua, Taiwan","institution_ids":["https://openalex.org/I4210159511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600693","display_name":"Yue\u2010Der Lin","orcid":"https://orcid.org/0000-0003-1495-166X"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yue-Der Lin","raw_affiliation_strings":["Feng Chia University,Department of Automatic Control Engineering,Taichung,Taiwan","Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Automatic Control Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000949761"],"corresponding_institution_ids":["https://openalex.org/I70522481"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13021496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9976999759674072,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8985241651535034},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.7277576327323914},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.575829803943634},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4726516306400299},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.44783830642700195},{"id":"https://openalex.org/keywords/cuff","display_name":"Cuff","score":0.44567254185676575},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41397911310195923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37444910407066345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3349229097366333},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3092697858810425},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.30460983514785767},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.2608564496040344},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13477808237075806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08339282870292664}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8985241651535034},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.7277576327323914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.575829803943634},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4726516306400299},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.44783830642700195},{"id":"https://openalex.org/C2780017030","wikidata":"https://www.wikidata.org/wiki/Q368366","display_name":"Cuff","level":2,"score":0.44567254185676575},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41397911310195923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37444910407066345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3349229097366333},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3092697858810425},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30460983514785767},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.2608564496040344},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13477808237075806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08339282870292664},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ickii55100.2022.9983601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322214","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1571219820","https://openalex.org/W1940872118","https://openalex.org/W1966653619","https://openalex.org/W2049755262","https://openalex.org/W2052434974","https://openalex.org/W2068163434","https://openalex.org/W2083872334","https://openalex.org/W2162800060","https://openalex.org/W2396881363","https://openalex.org/W2757139046","https://openalex.org/W2787867538","https://openalex.org/W2792903264","https://openalex.org/W2802068140","https://openalex.org/W2806149022","https://openalex.org/W2892649144","https://openalex.org/W2943317691","https://openalex.org/W3003093048","https://openalex.org/W3009202705","https://openalex.org/W3016504312","https://openalex.org/W3113617816","https://openalex.org/W3127637041","https://openalex.org/W3159598895","https://openalex.org/W3164461680","https://openalex.org/W3179514974","https://openalex.org/W3188063775","https://openalex.org/W3196722428","https://openalex.org/W3213530928","https://openalex.org/W4200190257","https://openalex.org/W4213030899","https://openalex.org/W4214602270","https://openalex.org/W4220671846","https://openalex.org/W6640362995"],"related_works":["https://openalex.org/W4297152434","https://openalex.org/W2732360296","https://openalex.org/W2138353306","https://openalex.org/W3034024518","https://openalex.org/W2184912121","https://openalex.org/W2981709955","https://openalex.org/W4389542338","https://openalex.org/W2115667775","https://openalex.org/W2754819597","https://openalex.org/W2159116935"],"abstract_inverted_index":{"The":[0,30,201,218,244,256],"occurrence":[1],"of":[2,15,33,62,87,95,104,110,203,215,234,239],"intraoperative":[3],"hypertension/":[4],"hypotension":[5],"may":[6],"cause":[7],"danger":[8],"to":[9,132,143,149,192,210,271],"a":[10,59,145],"patient.":[11],"Therefore,":[12],"the":[13,73,90,108,164,213,216,222,237,272],"monitoring":[14],"blood":[16,36,98],"pressure":[17,37,99],"change":[18],"during":[19],"surgical":[20,28],"operation":[21],"is":[22,81],"momentous":[23],"for":[24,84,184,236,250],"anesthetized":[25],"patient":[26],"undergoing":[27],"procedures.":[29],"invasive":[31,127],"method":[32,94],"measuring":[34,96],"arterial":[35],"(ABP)":[38],"provides":[39,100],"accurate":[40],"and":[41,51,64,70,117,136,158,174,205,231,268],"much":[42],"information,":[43],"but":[44],"it":[45,56,80],"requires":[46],"evaluation":[47],"by":[48,153],"an":[49,130],"anesthesiologist":[50],"with":[52],"its":[53],"long-term":[54],"use,":[55],"also":[57],"brings":[58],"higher":[60],"risk":[61],"infection,":[63],"even":[65,137],"some":[66],"patients":[67],"have":[68],"pain":[69],"discomfort":[71],"at":[72],"catheter":[74],"placement":[75],"site":[76],"after":[77],"surgery,":[78],"so":[79],"not":[82],"suitable":[83],"all":[85],"types":[86],"patients.":[88],"On":[89],"other":[91],"hand,":[92],"non-invasive":[93,122],"cuff":[97],"little":[101],"information":[102],"because":[103],"non-continuous":[105],"measurement.":[106],"With":[107],"emerging":[109],"deep":[111,146],"learning,":[112],"there":[113],"has":[114,247],"been":[115,248],"more":[116,118],"discussion":[119],"on":[120,167],"whether":[121],"Photoplethysmography":[123],"(PPG)":[124],"can":[125],"replace":[126],"ABP":[128,195],"as":[129],"alternative":[131],"continuous":[133,194],"BP":[134,138],"measurement":[135],"prediction.":[139],"This":[140],"paper":[141],"aims":[142],"implement":[144],"learning":[147],"model":[148,246,262],"predict":[150,193,265],"SBP/DBP":[151,266],"signal":[152,178,267],"PPG,":[154,172],"PPG":[155,177],"extended":[156],"data":[157,169],"Electrocardiography":[159],"(ECG)":[160],"data.":[161,200],"We":[162],"trained":[163],"CNN-based":[165],"architecture":[166],"preprocessed":[168],"including":[170],"ECG,":[171],"1st":[173],"2nd":[175],"derivative":[176],"extracted":[179],"from":[180],"MIMIC-III(Medical":[181],"Information":[182],"Mart":[183],"Intensive":[185],"Care":[186],"III)":[187],"waveform":[188],"database":[189],"matched":[190],"subset":[191],"signals":[196],"using":[197],"real":[198],"world":[199],"value":[202],"SBP":[204],"DBP":[206],"are":[207],"directly":[208],"predicted":[209],"effectively":[211,264],"estimate":[212],"accuracy":[214],"predictions.":[217],"prediction":[219],"results":[220,257],"fulfill":[221],"grade":[223],"A":[224],"in":[225],"British":[226],"Hypertension":[227],"Society":[228],"(BHS)":[229],"standard":[230],"most":[232],"part":[233],"Association":[235],"Advancement":[238],"Medical":[240],"Instrumentation":[241],"(AAMI)\u2019s":[242],"standard.":[243],"proposed":[245,261],"applied":[249],"CHANGHUA":[251],"CHRISTIAN":[252],"HOSPITAL\u2019s":[253],"IRB":[254],"NO:191240.":[255],"depict":[258],"that":[259],"our":[260],"could":[263],"be":[269],"deployed":[270],"operating":[273],"room":[274],"realistically.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}