Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29764
Title: Processing MIMIC-III for Evaluation of Various Blood Pressure Estimation Models
Authors: Kostoska, Magdalena 
Kuzmanov, Ivan
Koteska, Bojana 
Lehocki, Fedor
Madevska Bogdanova, Ana 
Keywords: MIMIC-III
electrocardiogram
photoplethysmogram
blood pressure estimation
artificial neural network
deep learning
Issue Date: 2024
Project: Smart Patch for Life Support Systems - SP4LIFE
IBS4LIFE
Series/Report no.: ;142-152
Conference: ICT Innovations 2023
Abstract: The development of non-invasive easily available blood pres- sure estimation methods using electrocardiogram - ECG and/or photo- plethysmogram - PPG signals has gained increasing attention. However, there is a lack of consistency in the evaluation of these methods due to variations in the size and availability of data in published datasets. Our research involves retrieving, cleaning, and storing a portion of the MIMIC-III database for utilization in model training and testing. This paper outlines our methodology for processing the MIMIC-III database, along with the challenges encountered during the process.
URI: http://hdl.handle.net/20.500.12188/29764
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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