HIGHLIGHTS
- who: Firstname Lastname et al. from the Department of Computer Engineering, Sejong University, Neungdong-ro, Gwangjin-gu, Gunsan-si, Republic of Korea have published the paper: Cuffless Blood Pressure Estimation with Confidence Intervals using Hybrid Feature Selection and Decision Based on Gaussian Process, in the Journal: (JOURNAL)
- what: This study evaluated a random-forest-based regression network, three-layer ANN-based regression network, and SVM model using PPG signals. This study proposed a new methodology for simultaneously estimating BP and CIs using cuffless BP measurement through a hybrid feature selection and decision based on the . . .
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