PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing
Nathan Zavanelli

TL;DR
PulsatioMech is an open-source MATLAB toolbox designed to facilitate seismocardiography signal processing, promoting standardized analysis and reproducibility in wearable cardiac health monitoring research.
Contribution
It introduces a comprehensive, user-friendly MATLAB toolbox for SCG signal analysis, aiding research and ensuring reproducibility in cardiac mechanical signal studies.
Findings
Provides a unified platform for SCG signal processing
Enhances reproducibility of seismocardiography research
Supports new studies in wearable health monitoring
Abstract
This paper summarizes and presents PulsatioMech: an open-source MATLAB toolbox for seismocardiography (SCG) signal processing. The toolbox may be found here: https://github.com/nzavanelli/SCG_master_toolbox PulsatioMech is currently under development as a common tool to promote new studies and discoveries in the use of cardiac mechanical signal for wearable health monitoring. This toolbox is designed to assist users in analyzing SCG signals without the need to devote significant effort into signal processing and coding tasks. Simultaneously, it provides a uniform basis to assess the reproducibility of works based on this toolbox, including those cited here [1-6]. The referenced works contain a great deal more detail regarding the specific algorithms implemented here, whereas this paper will present a short overview of the PulsatioMech Toolbox.
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · ECG Monitoring and Analysis · Cardiovascular Health and Disease Prevention
