UTILISING THE CAPABILITIES OF THE PANDAS, NUMPY, AND RUPTURES LIBRARIES FOR THE PROCESSING AND ANALYSIS OF AMBULATORY BLOOD PRESSURE MONITORING DATA ARRAYS

Authors

  • Yevhen Darnapuk Petro Mohyla Black Sea National University

DOI:

https://doi.org/10.34132/mspc2025.01.06.16

Keywords:

ambulatory blood pressure monitoring, python, numpy, data science, pandas, rupture.

Abstract

The theses present the application of the Pandas, Numpy, and Ruptures libraries for efficient processing, analysis, and automatic detection of structural changes in ambulatory blood pressure monitoring data arrays.

References

McGrath B. P. Ambulatory blood pressure monitoring. Medical Journal of Australia. 2002. Vol. 176, no. 12. P. 588–592. DOI: 10.5694/j.1326-5377.2002.tb04590.x.

Enache M. C. Data Analysis with Pandas. Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics. 2019. Vol. 25, no. 2. P. 69–74. DOI: 10.35219/eai1584040933.

Binary segmentation - ruptures. GitHub Pages. Retrieved from: https://centre-borelli.github.io/ruptures-docs/user-guide/detection/binseg/ (Last accessed: 17.05.2025).

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Published

2025-05-20

Issue

No. 1 (2025): Series "Design, Computer technologies"

Section

Articles