Utilising the Capabilities of the Pandas, Numpy, and Ruptures Libraries for the Processing and Analysis of Ambulatory Blood Pressure Monitoring Data Arrays
Year: 2025
Type: conference-paper
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.
Author: Yevhen Darnapuk
Institution: Petro Mohyla Black Sea National University
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414958194
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