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Fig. 1: BP-Net architecture C. BP-Net Architecture Motivated by the advancements of U-Net in several medical domain applications [30], [31], BP-Net was developed as an extension of the U-Net framework proposed by Ronneberger et al. [32]. Analogous to standard encoder-decoder network, the U-Net consists of a contraction path (encoder) and an
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1 de set. de 2022 · The BP-Net dataset is collected from the Multi-parameter Intelligent Monitoring for Intensive Care (MIMIC) [36], [37], [38] provided by PhysioNet server. MIMIC-I database contains PPG, multi-lead ECGs, and arterial blood pressure (ABP) signals at 125 samples per second with 8 bit precision.
1 de set. de 2022 · Upper arm BP monitoring can provide users with an indirect and non-continuous BP measurement technique by using an inflatable cuff and stethoscope. Such cuff-based methods suffer from several drawbacks including: (i) Being inconvenient and unhealthy especially in public places; (ii) Require. The BP-Net framework
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