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 | |
|---|---|---|---|---|
| processing-mimic-iii-for-evaluation-of-various-blood-pressure-estimation-models.pdf | 369.62 kB | Adobe PDF | View/Open |
Page view(s)
75
checked on Jul 11, 2024
Download(s)
68
checked on Jul 11, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.