{"id":"https://openalex.org/W2982338469","doi":"https://doi.org/10.1109/lifetech.2019.8883951","title":"Mental States Estimation Using ECG Affected by Mood Change During Imagining the Near Future","display_name":"Mental States Estimation Using ECG Affected by Mood Change During Imagining the Near Future","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2982338469","doi":"https://doi.org/10.1109/lifetech.2019.8883951","mag":"2982338469"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech.2019.8883951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech.2019.8883951","pdf_url":null,"source":{"id":"https://openalex.org/S4306498475","display_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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/A5024821408","display_name":"Akane Kitagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akane Kitagawa","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088832778","display_name":"Sh\u014dhei Kato","orcid":"https://orcid.org/0000-0003-4130-2729"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Kato","raw_affiliation_strings":["Nagoya Institute of Technology and Frontier Research Institute for Information Science, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology and Frontier Research Institute for Information Science, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024821408"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16346154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"91","last_page":"92"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9542999863624573,"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/mood","display_name":"Mood","score":0.8059862852096558},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7440400123596191},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6450133323669434},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5740935206413269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4716189205646515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4547601640224457},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4520256519317627},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4464230537414551},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.38000327348709106},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.18630385398864746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1796858012676239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12519648671150208},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.08787015080451965}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.8059862852096558},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7440400123596191},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6450133323669434},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5740935206413269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4716189205646515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4547601640224457},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4520256519317627},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4464230537414551},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38000327348709106},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.18630385398864746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1796858012676239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12519648671150208},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.08787015080451965},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech.2019.8883951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech.2019.8883951","pdf_url":null,"source":{"id":"https://openalex.org/S4306498475","display_name":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","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":"2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2136080456","https://openalex.org/W2183144091"],"related_works":["https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2526386912","https://openalex.org/W2410591377","https://openalex.org/W4255837520","https://openalex.org/W2323113755","https://openalex.org/W2090763504","https://openalex.org/W2506793457","https://openalex.org/W2123430089"],"abstract_inverted_index":{"The":[0,91],"purpose":[1],"of":[2,40,71,89,96],"this":[3],"study":[4],"is":[5],"mental":[6,11,41,58,109],"states":[7,59,110],"estimation":[8],"for":[9,108],"preventing":[10],"illness.":[12],"Then,":[13],"we":[14],"focus":[15],"on":[16,50],"ECG":[17,29,48,98],"affected":[18,76,99],"by":[19,77,100],"mood":[20,78,101],"change":[21,79,102],"during":[22,30,103],"imagining":[23,31,104],"the":[24,32,37,47,57,69,81,85,94,105],"near":[25,33,106],"future.":[26],"We":[27,43],"measure":[28],"future":[34,107],"and":[35,55,80],"define":[36],"four":[38],"levels":[39],"states.":[42],"extract":[44],"features":[45,70,86],"in":[46],"based":[49],"heart":[51],"rate":[52],"variability":[53],"analysis":[54],"estimate":[56],"using":[60,84,97],"Support":[61],"Vector":[62],"Machine":[63],"(SVM).":[64],"Experimental":[65],"results":[66],"suggest":[67],"that":[68],"HF":[72],"might":[73],"well":[74],"be":[75],"best":[82],"SVM":[83],"get":[87],"F-measure":[88],"0.48.":[90],"result":[92],"indicates":[93],"effectiveness":[95],"estimation.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
