{"id":"https://openalex.org/W4294069504","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9868973","title":"Analysis of Waveform Data of ECG/RESP/ICG with Fourier Transform","display_name":"Analysis of Waveform Data of ECG/RESP/ICG with Fourier Transform","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069504","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9868973"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9868973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9868973","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5014167788","display_name":"Jian\u2010Chiun Liou","orcid":"https://orcid.org/0000-0002-1832-3794"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"education","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Chiun Liou","raw_affiliation_strings":["School of Biomedical Engineering, Taipei Medical University,Taipei,Taiwan,11031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Taipei Medical University,Taipei,Taiwan,11031","institution_ids":["https://openalex.org/I47519274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076514567","display_name":"Zong-Xuan Hsieh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zong-Xuan Hsieh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069028297","display_name":"Zhiyu Lin","orcid":"https://orcid.org/0000-0001-8045-9556"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi-Yu Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.1561313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9990000128746033,"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":0.9990000128746033,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.996999979019165,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9763000011444092,"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/waveform","display_name":"Waveform","score":0.791556715965271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6552134156227112},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.579863965511322},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4578503668308258},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43639075756073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4302661120891571},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.418699711561203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35552555322647095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.345426082611084},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3439343571662903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28735247254371643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17525681853294373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13204550743103027}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.791556715965271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552134156227112},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.579863965511322},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4578503668308258},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43639075756073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4302661120891571},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.418699711561203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35552555322647095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.345426082611084},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3439343571662903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28735247254371643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17525681853294373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13204550743103027},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9868973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9868973","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3291319232","display_name":null,"funder_award_id":"DP2-110-21121-01-0-01-03,DP2-108-21121-01-0-05-04,DP2-109-21121-01-0-01-03,MOST-109-2918-1-038-002,TMU-NTUST-109-10,MOST- 109-2221-E-038 -013,MOST- 110-2221-E-038 -009","funder_id":"https://openalex.org/F4320311039","funder_display_name":"Ministry of Higher Education and Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320311039","display_name":"Ministry of Higher Education and Scientific Research","ror":"https://ror.org/00kab6t91"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2004290125","https://openalex.org/W2051859917","https://openalex.org/W2117162164","https://openalex.org/W2119606359","https://openalex.org/W2121111947","https://openalex.org/W2132400950","https://openalex.org/W2155341079","https://openalex.org/W2596575303","https://openalex.org/W2840213810","https://openalex.org/W2909576544"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W2176409448","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2883092465","https://openalex.org/W2114441484"],"abstract_inverted_index":{"ECG":[0],"can":[1,44,56],"observe":[2],"the":[3,8,26,38,48,60],"heart":[4],"activity":[5],"state":[6],"of":[7,42,50],"human":[9],"body,":[10],"which":[11],"has":[12],"always":[13],"been":[14],"a":[15],"very":[16],"important":[17],"parameter":[18],"in":[19],"physiological":[20,32],"signals.":[21,33],"By":[22],"observing":[23],"and":[24,28,40,47,70,74],"comparing":[25],"correlation":[27],"difference":[29],"with":[30],"related":[31],"It":[34],"is":[35,63],"hoped":[36,65],"that":[37,66],"characteristics":[39,53],"particularities":[41],"these":[43],"be":[45,57],"found,":[46],"efficiency":[49],"judging":[51],"pathological":[52],"from":[54],"them":[55],"improved.":[58],"In":[59],"future,":[61],"it":[62],"also":[64],"this":[67],"will":[68],"meet":[69],"improve":[71],"clinical":[72],"applications":[73],"needs.":[75]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
