End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism

End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism

Blood pressure (BP) is a vital sign that provides fundamental health information regarding patients. Continuous BP monitoring is important for patients with hypertension. Various studies have proposed cuff-less BP monitoring methods using pulse transit time. We propose an end-to-end deep learning ar...

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Bibliographic Details
Main Authors: Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, Cheolsoo Park
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
blood pressure
electrocardiogram
photoplethysmogram
ballistocardiogram
deep learning
signal processing
Online Access:https://www.mdpi.com/1424-8220/20/8/2338

Internet

https://www.mdpi.com/1424-8220/20/8/2338

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