Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases

Ecem Erin, Beren Semiz

2023

Abstract

Cardiovascular diseases are one of the top causes of mortality, accounting for a sizeable portion of all fatalities globally. Among cardiovascular diseases, valvular heart diseases (VHDs) affect greater number of people and have higher mortality rates. Current VHD assessment methods are cost-inefficient and limited to clinical settings, therefore there is a compelling need for non-invasive and continuous VHD monitoring systems. In this work, a novel framework was proposed to distinguish between aortic stenosis (AS), aortic valve regurgitation (AR), mitral valve stenosis (MS), and mitral valve regurgitation (MR) using tri-axial seismocardiogram (SCG) signals acquired from the mid-sternum. First, seismology domain knowledge was leveraged and applied to SCG signals through ObsPy toolbox for pre-processing. From pre-processed signal segments, spectrogram, wavelet, chromagram, tempogram and zero-crossing-rate features were extracted. Following p-value analysis and variance thresholding, a multi-label/multi-class classification framework based on gradient boosting trees was developed to distinguish between AS, AR, MS and MR cases. For all four VHDs, the accuracy, precision, recall and f1-score values were above 95%, best performing axis being the dorso-ventral direction. Overall, the results showed that spectral analysis of SCG signals can provide valuable information regarding VHDs and potentially be used in the design of continuous monitoring systems.

Paper Citation

in Harvard Style

Erin E. and Semiz B. (2023). Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS; ISBN 978-989-758-631-6, SciTePress, pages 212-219. DOI: 10.5220/0011663900003414

in Bibtex Style

@conference{biosignals23,
author={Ecem Erin and Beren Semiz},
title={Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS},
year={2023},
pages={212-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011663900003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 4: BIOSIGNALS
TI - Spectral Analysis of Cardiogenic Vibrations to Distinguish Between Valvular Heart Diseases
SN - 978-989-758-631-6
AU - Erin E.
AU - Semiz B.
PY - 2023
SP - 212
EP - 219
DO - 10.5220/0011663900003414
PB - SciTePress