Calibration-free blood pressure estimation based on a convolutional neural network.

Cho, Jinwoo; Shin, Hangsik; Choi, Ahyoung

Cho, Jinwoo; Shin, Hangsik; Choi, Ahyoung.

Affiliation

Cho J; Bud-on Co., Ltd., Seoul, Republic of Korea.
Shin H; Department of Digital Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Choi A; Department of AI. Software, Gachon University, Seongnam, Republic of Korea.

Psychophysiology ; 61(4): e14480, 2024 Apr.

Article in En | MEDLINE | ID: mdl-37971153

Subject(s)

Blood Pressure Determination; Photoplethysmography; Humans; Blood Pressure/physiology; Blood Pressure Determination/methods; Calibration; Photoplethysmography/methods; Neural Networks, Computer

Key words

blood pressure estimation; convolutional neural network; electrocardiogram; photoplethysmogram; wearable environment

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Full text: 1 Database: MEDLINE Main subject: Blood Pressure Determination / Photoplethysmography Limits: Humans Language: En Journal: Psychophysiology Year: 2024 Type: Article

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