Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment

Ecem Erin, Beren Semiz

2024

Abstract

Cardiovascular diseases have been identified as one of the leading causes of mortality worldwide. Among these diseases, valvular heart diseases (VHDs) have a greater impact on the population. The existing methods for VHD assessment are expensive and only applicable within clinical environments. Hence, there is a need for accessible and cost-efficient systems to provide continuous VHD monitoring. As stenosis and regurgitation are characterized by the change in the blood flow patterns, it was hypothesized that angular acceleration (gyrocardiogram, GCG) could capture the differences in blood flow and changes in cardiovascular parameters better than linear acceleration (seismocardiogram, SCG). In this work, a publicly available dataset including 36 patients with stenosis and 44 patients with regurgitation was used. The SCG and GCG signals were first divided into 10- second long segments. From each segment, five features were extracted from all axes and used to train the SCG- and GCG-based XGBoost models. Overall, the GCG-based model resulted in better performance in distinguishing between the stenosis and regurgitation cases: the precision, recall and accuracy values were 94.7, 94.5, and 94.5 for the SCG, and 96.0, 95.9 and 95.9 for the GCG, respectively. Predictive performances of SCG and GCG models on the cardiovascular parameters were also investigated and resulted in (SCG, GCG) mean absolute percent errors of (19.4, 20.6), (15.5, 14.5), (12.0, 13.1) for ejection fraction, left ventricular end diastolic dimension and left ventricle posterior wall thickness, respectively. These results showed that in addition to SCG, GCG could also be used for VHD evaluation and potentially be employed in continuous monitoring systems.

Paper Citation

in Harvard Style

Erin E. and Semiz B. (2024). Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-688-0, SciTePress, pages 786-792. DOI: 10.5220/0012441700003657

in Bibtex Style

@conference{biosignals24,
author={Ecem Erin and Beren Semiz},
title={Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2024},
pages={786-792},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012441700003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment
SN - 978-989-758-688-0
AU - Erin E.
AU - Semiz B.
PY - 2024
SP - 786
EP - 792
DO - 10.5220/0012441700003657
PB - SciTePress