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Deep-learning-based blood pressure estimation using multi channel photoplethysmogram and finger pressure with attention mechanism.
Kyung, Jehyun; Yang, Joon-Young; Choi, Jeong-Hwan; Chang, Joon-Hyuk; Bae, Sangkon; Choi, Jinwoo; Kim, Younho.
Affiliation
  • Kyung J; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
  • Yang JY; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
  • Choi JH; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
  • Chang JH; Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea. jchang@hanyang.ac.kr.
  • Bae S; SAIT, Samsung Electronics, Advanced Sensor Lab, Suwon-si, Gyeonggi-do, 16677, Republic of Korea.
  • Choi J; SAIT, Samsung Electronics, Advanced Sensor Lab, Suwon-si, Gyeonggi-do, 16677, Republic of Korea.
  • Kim Y; SAIT, Samsung Electronics, Advanced Sensor Lab, Suwon-si, Gyeonggi-do, 16677, Republic of Korea.
Sci Rep ; 13(1): 9311, 2023 06 08.
Article in En | MEDLINE | ID: mdl-37291140
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Pressure Determination / Deep Learning Language: En Journal: Sci Rep Year: 2023 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Pressure Determination / Deep Learning Language: En Journal: Sci Rep Year: 2023 Document type: Article