Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/30467| 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: | Oct-2023 | Conference: | ICT Innovations, 24-26 September, 2023, Ohrid, N. Macedonia | Abstract: | The development of non-invasive easily available blood pressure estimation methods using electrocardiogram - ECG and/or photoplethysmogram - 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/20.500.12188/30467 |
| 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 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.