@inproceedings{0d662b583df34b68a4f7d053931fcf9c,
title = "Identification and Optimization of Landmarks on the Impedance Cardiography Signal ICG",
abstract = "By proper processing of signals, it is possible to eliminate interference, improve data quality, and obtain more accurate information. In the field of diagnostic medicine and patient monitoring, appropriate signal preparation is essential for correctly interpreting results and making sound clinical decisions. The aim of this study is to present the influence of modifying selected averaging parameters on the generation of the ensemble average of ICG signal. A comparison of ensemble average was conducted considering recordings of 20s and 40s in the range of 1-17 average complexes. The results indicate that the quantity of average complexes should be precisely specified and optimized to ensure globally comparable results.",
keywords = "biomedical signals, preprocessing, telemedicine",
author = "Ilona Karpiel and Mirella Kluza and Aleksander Sobotnicki",
note = "Publisher Copyright: {\textcopyright} 2024 Lodz University of Technology.; 31st International Conference on Mixed Design of Integrated Circuits and System, MIXDES 2024 ; Conference date: 27-06-2024 Through 28-06-2024",
year = "2024",
doi = "10.23919/MIXDES62605.2024.10613995",
language = "English",
series = "Mixed Design of Integrated Circuits and System, MIXDES 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "294--298",
editor = "Wojciech Tylman",
booktitle = "Mixed Design of Integrated Circuits and System, MIXDES 2024",
address = "United States",
}