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Deep Learning-based Blood Pressure Estimation from Photoplethysmogram/Electrocardiogram under Different Degrees of Data Leakage and Inter-subject Paradigm

dc.contributor.advisor大槻, 知明 / 教授
dc.contributor.authorYOSHIZAWA, RIKUTO / 吉澤, 陸人
dc.date.accessioned2024-05-20T05:11:53Z
dc.date.available2024-05-20T05:11:53Z
dc.date.issued2023-03-10
dc.description修士(工学), 2022, 開放環境科学専攻
dc.identifier.uri/sigma_local/handle/10721/14642
dc.languageen
dc.publisher慶應義塾大学理工学研究科
dc.subject血圧ja
dc.subject光電脈波ja
dc.subject心電図ja
dc.subjectデータ漏洩ja
dc.subject被験者間条件ja
dc.subjectBlood pressureen
dc.subjectPPGen
dc.subjectECGen
dc.subjectData leakageen
dc.subjectInter-subject paradigmen
dc.titleDeep Learning-based Blood Pressure Estimation from Photoplethysmogram/Electrocardiogram under Different Degrees of Data Leakage and Inter-subject Paradigm
dc.title.alternative深層学習を用いた光電脈波信号または心電図信号による異なるデータ漏洩度および被験者間条件下の血圧推定
dc.type学位論文

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