Automatic Detection of Seismocardiogram Sensor Misplacement for Robust Pre-Ejection Period Estimation in Unsupervised Settings

IEEE Sensors Journal
Hazar Ashouri, Omer T Inan

Abstract

Seismocardiography (SCG), the measurement of the local chest vibrations due to the movements of blood and the heart, is a non-invasive technique for assessing myocardial contractility via the pre-ejection period (PEP). Recently, SCG-based extraction of PEP has been shown to be an effective means of classifying decompensated from compensated heart failure patients, and thus can be potentially used for monitoring such patients at home. Accurate extraction of PEP from SCG signals hinges on lab-based population data (i.e., regression curves) linking particular time-domain features of the SCG signal to corresponding features from reference standard bulky instruments such as impedance cardiography (ICG). Such regression curves, in the case of SCG, have always been estimated based on the "ideal" positioning of the SCG sensor on the chest. However, in settings such as the home where users may position the SCG measurement hardware on the chest without supervision, it is likely that the sensor will not always be placed exactly on this "ideal" location on the sternum, but rather on other positions on the chest as well. In this study, we show for the first time that the regression curve for estimating PEP from SCG signals differs significa...Continue Reading

Citations

Mar 21, 2020·Sensors·Niccolò MoraPaolo Ciampolini
Sep 1, 2017·Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies·Andrew M CarekOmer T Inan
Aug 12, 2017·Journal of Applied Physiology·Mozziyar Etemadi, Omer T Inan
Mar 1, 2019·Vibration·Amirtahà TaebiHansen A Mansy

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