Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification

Monika Simjanoska, Gregor Papa, Barbara Koroušić Seljak, Tome Eftimov

2019

Abstract

Because a real-time monitoring using electrocardiogram (ECG) signals is a challenging task, the pre-processing techniques used for ECG signal analysis are crucial for obtaining information that is further used for some more complex analysis, such as predictive analyses. We compared different settings of parameters needed for pre-processing of ECG signals in order to estimate the valuable information that can be further used for blood pressure classification. Two parameters were involved in the comparison: i) the signal length used for ECG segmentation; and ii) the cut-off frequency used for baseline removal. The first parameter is the parameter used for obtaining ECG segments that are further used, and the second one is the frequency used for baseline removal. Thirty different combinations, each a combination of a signal length and a cut-off frequency, were evaluated using a dataset that contains data from five commercially available ECG sensors. For signal lengths: 10 s, 20 s, and 30 s, were used for data segmentation, while the cut-off frequency for baseline removal starts from 0.05 Hz, till 0.50 Hz, with a step length of 0.05 Hz. The evaluation of these combinations was done in combination with complexity analysis used for features extraction that are further used for blood pressure classification. Experimental results, obtained using a data-driven approach by comparing the combinations using the results obtained from the classification for 17 performance measures, showed that a signal length of 30 s carries the most information in a combination with cut-off frequency between 0.10 Hz and 0.20 Hz. Results contribute to the arguments published in the literature discussing the optimal ECG sample lengths needed for building predictive models, as well as the lower frequencies where the ECG components overlap with the baseline wander noise.

Paper Citation

in Harvard Style

Simjanoska M., Papa G., Seljak B. and Eftimov T. (2019). Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 62-72. DOI: 10.5220/0007390100620072

in Bibtex Style

@conference{biosignals19,
author={Monika Simjanoska and Gregor Papa and Barbara Koroušić Seljak and Tome Eftimov},
title={Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={62-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007390100620072},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification
SN - 978-989-758-353-7
AU - Simjanoska M.
AU - Papa G.
AU - Seljak B.
AU - Eftimov T.
PY - 2019
SP - 62
EP - 72
DO - 10.5220/0007390100620072
PB - SciTePress