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pro vyhledávání: '"Yuniarti Ana Rahma"'
Autor:
Syamsul Rizal, Yuniarti Ana Rahma
Publikováno v:
IEEE Access, Vol 12, Pp 80317-80326 (2024)
The current study presents a novel, non-invasive method for estimating both systolic and diastolic blood pressure by combining photoplethysmogram (PPG) signals with physiological data, such as sex, age, weight, height, heart rate, and BMI, using two
Externí odkaz:
https://doaj.org/article/03537603aa224308a3ea23a79bb4a50d
Akademický článek
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Publikováno v:
Journal of Computer Engineering, Electronics and Information Technology; Vol 1, No 1 (2022): COELITE: Volume 1, Issue 1, 2022; 22-31
Applications of Biometrics technology are extremely popular today, ranging from access control to automation. Fingerprint is the oldest and the most widely used biometrics technology. However, it’s key features are externally exposed which make it
Autor:
Yuniarti, Ana Rahma1, Setianto, Febrian1, Marcellinus, Aroli1, Hwang, Han Jeong1, Choi, Seong Wook2, Trayanova, Natalia3, Lim, Ki Moo1 kmlim@kumoh.ac.kr
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. Jun2018, Vol. 34 Issue 6, p1-1. 16p.
Publikováno v:
BioMedical Engineering OnLine. 1/10/2017, Vol. 16, p1-12. 12p.