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 |
Files in This Item:
File | Description | Size | Format | |
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processing-mimic-iii-for-evaluation-of-various-blood-pressure-estimation-models.pdf | 369.62 kB | Adobe PDF | View/Open |
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