PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910294140256256 |
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| author | Zavanelli, Nathan |
| author_facet | Zavanelli, Nathan |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_05480 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing Zavanelli, Nathan Signal Processing Human-Computer Interaction Medical Physics 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. |
| title | PulsatioMech: An Open-Source MATLAB Toolbox for Seismocardiography Signal Processing |
| topic | Signal Processing Human-Computer Interaction Medical Physics |
| url | https://arxiv.org/abs/2401.05480 |