PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTM.

Mahardika T, Nurul Qashri; Fuadah, Yunendah Nur; Jeong, Da Un; Lim, Ki Moo

Mahardika T, Nurul Qashri; Fuadah, Yunendah Nur; Jeong, Da Un; Lim, Ki Moo.

Afiliação

Mahardika T NQ; Computational Medicine Lab, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of Korea.
Fuadah YN; Computational Medicine Lab, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of Korea.
Jeong DU; School of Electrical Engineering, Telkom University, Bandung 40257, Indonesia.
Lim KM; Computational Medicine Lab, Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Gyeongbuk, Republic of Korea.

Diagnostics (Basel) ; 13(15)2023 Aug 01.

Article em En | MEDLINE | ID: mdl-37568929

Palavras-chave

blood pressure; convolutional neural network; grid search; long short-term memory; photoplethysmography (PPG)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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