Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network

This paper presents a neural network model to estimate arterial blood pressure (ABP) waveforms using electrocardiogram (ECG) and photoplethysmography (PPG) signals and its first two order mathematical derivatives (PPG<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"...

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Bibliographic Details
Main Authors: Federico Delrio, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/39/1/78