| Autor: |
Alvaro Chao-Écija, Manuel Víctor López-González, Marc Stefan Dawid-Milner |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Biology, Vol 12, Iss 11, p 1438 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2079-7737 |
| DOI: |
10.3390/biology12111438 |
| Popis: |
CardioRVAR is a new R package designed for the complete evaluation of closed-loop cardiovascular interactions and baroreflex sensitivity estimated from continuous non-invasive heart rate and blood pressure recordings. In this work, we highlight the importance of this software tool in the context of human cardiovascular and autonomic neurophysiology. A summary of the main algorithms that CardioRVAR uses are reviewed, and the workflow of this package is also discussed. We present the results obtained from this tool after its application in three clinical settings. These results support the potential clinical and scientific applications of this tool. The open-source tool can be downloaded from a public GitHub repository, as well as its specific Shiny application, CardioRVARapp. The open-source nature of the tool may benefit the future continuation of this work. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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