{"id":"https://openalex.org/W2323903288","doi":"https://doi.org/10.1109/embc.2014.6944555","title":"Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis","display_name":"Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2323903288","doi":"https://doi.org/10.1109/embc.2014.6944555","mag":"2323903288","pmid":"https://pubmed.ncbi.nlm.nih.gov/25570923"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5074416574","display_name":"Ming Huang","orcid":"https://orcid.org/0000-0002-7833-7805"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ming Huang","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030891267","display_name":"T. Tamura","orcid":"https://orcid.org/0000-0002-8514-4200"},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyo Tamura","raw_affiliation_strings":["Osaka Electro-Communication University, Neyagawa, Osaka Prefecture, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka Electro-Communication University, Neyagawa, Osaka Prefecture, Japan","institution_ids":["https://openalex.org/I189513530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082539414","display_name":"Wenxi Chen","orcid":"https://orcid.org/0000-0001-9329-7277"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wenxi Chen","raw_affiliation_strings":["University of Aizu, Aizu-wakamatsu, Fukushima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aizu, Aizu-wakamatsu, Fukushima, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014130105","display_name":"Kei\u2010ichiro Kitamura","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei-ichiro Kitamura","raw_affiliation_strings":["Kanazawa University, Kanazawa, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, Kanazawa, Ishikawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111885058","display_name":"Tetsu Nemoto","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsu Nemoto","raw_affiliation_strings":["Kanazawa University, Kanazawa, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, Kanazawa, Ishikawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046567908","display_name":"Shigehiko Kanaya","orcid":"https://orcid.org/0000-0002-2147-6900"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigehiko Kanaya","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":null,"first_page":"4220","last_page":"4223"},"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":0.9876999855041504,"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":0.9876999855041504,"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/ultradian-rhythm","display_name":"Ultradian rhythm","score":0.9748613834381104},{"id":"https://openalex.org/keywords/circadian-rhythm","display_name":"Circadian rhythm","score":0.7186557054519653},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5861536860466003},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5133987665176392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.505216658115387},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.4950825273990631},{"id":"https://openalex.org/keywords/chronobiology","display_name":"Chronobiology","score":0.4638090133666992},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4532405734062195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43367648124694824},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.41770172119140625},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4175020158290863},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4143317639827728},{"id":"https://openalex.org/keywords/detrended-fluctuation-analysis","display_name":"Detrended fluctuation analysis","score":0.4132842719554901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3925030529499054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3122696578502655},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2716509997844696},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.26475417613983154},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2409554421901703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1985018253326416},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17400887608528137},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08490565419197083}],"concepts":[{"id":"https://openalex.org/C136792703","wikidata":"https://www.wikidata.org/wiki/Q377893","display_name":"Ultradian rhythm","level":3,"score":0.9748613834381104},{"id":"https://openalex.org/C121446783","wikidata":"https://www.wikidata.org/wiki/Q208353","display_name":"Circadian rhythm","level":2,"score":0.7186557054519653},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5861536860466003},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5133987665176392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.505216658115387},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.4950825273990631},{"id":"https://openalex.org/C187765855","wikidata":"https://www.wikidata.org/wiki/Q506874","display_name":"Chronobiology","level":3,"score":0.4638090133666992},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4532405734062195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43367648124694824},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.41770172119140625},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4175020158290863},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4143317639827728},{"id":"https://openalex.org/C21689155","wikidata":"https://www.wikidata.org/wiki/Q2451452","display_name":"Detrended fluctuation analysis","level":3,"score":0.4132842719554901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3925030529499054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3122696578502655},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2716509997844696},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.26475417613983154},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2409554421901703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1985018253326416},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17400887608528137},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08490565419197083},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001831","descriptor_name":"Body Temperature","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001831","descriptor_name":"Body Temperature","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001831","descriptor_name":"Body Temperature","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25570923","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25570923","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1989493993","https://openalex.org/W1994754262","https://openalex.org/W2068980363","https://openalex.org/W2096994818","https://openalex.org/W2102594642","https://openalex.org/W2107203001","https://openalex.org/W2116988482","https://openalex.org/W2118886586","https://openalex.org/W2128397850","https://openalex.org/W2159185691","https://openalex.org/W2162638134","https://openalex.org/W2166021020","https://openalex.org/W6675222943"],"related_works":["https://openalex.org/W2146207098","https://openalex.org/W2036087811","https://openalex.org/W2078881881","https://openalex.org/W2065920897","https://openalex.org/W2032823788","https://openalex.org/W2792971959","https://openalex.org/W2167457908","https://openalex.org/W2088256144","https://openalex.org/W647577434","https://openalex.org/W2418944827"],"abstract_inverted_index":{"This":[0],"study":[1],"was":[2,38,56,77],"motivated":[3],"by":[4,59,124],"the":[5,11,42,60,67,71,80,84,94,100,108],"needs":[6],"of":[7,16,27,73,99,111,117,128],"precise":[8],"characterization":[9],"for":[10],"ultradian":[12],"and":[13,51,79,87,115,119],"circadian":[14],"rhythmicity":[15,120],"human":[17],"core":[18],"body":[19],"temperature":[20],"(CBT).":[21],"The":[22,97],"CBT":[23],"data,":[24],"two-whole-days'":[25],"data":[26],"two":[28,49],"female":[29],"bed-ridden":[30],"old":[31],"aged":[32],"suffering":[33],"from":[34],"cerebral":[35],"infarction":[36],"sequelae,":[37],"detrended":[39],"to":[40,65,92],"eliminate":[41],"long-term":[43],"components":[44],"with":[45],"periods":[46],"longer":[47],"than":[48],"days":[50],"normalized":[52],"at":[53],"first.":[54],"It":[55],"then":[57],"analyzed":[58],"stationary":[61],"wavelets":[62],"transform":[63],"(SWT)":[64],"get":[66],"time-frequency":[68,109],"information.":[69],"In":[70],"step":[72],"SWT,":[74],"symlet":[75],"6":[76],"used,":[78],"approximation":[81],"waveforms":[82,118],"in":[83],"5th,":[85],"6th":[86],"7th":[88],"levels":[89],"were":[90],"used":[91],"reveal":[93,107],"targeted":[95],"rhythmicity.":[96],"results":[98],"SWT":[101,104],"show":[102],"that":[103],"can":[105,121],"faithfully":[106],"information":[110,127],"feature":[112,129],"elements":[113],"(peaks":[114],"troughs)":[116],"be":[122],"characterized":[123],"analyzing":[125],"temporal":[126],"elements.":[130]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}