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

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.

Authors

Yevhen Darnapuk (ORCID: https://orcid.org/0000-0002-7099-5344)

Institutions

Petro Mohyla Black Sea National University (UA)

Publication Details

Journal: Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"
Published: 2025-05-20
DOI: https://doi.org/10.34132/mspc2025.01.06.16
Primary Topic: ECG Monitoring and Analysis
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Yevhen Darnapuk

May 20, 2025

Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"

ECG Monitoring and Analysis

article

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

Yevhen Darnapuk

May 20, 2025article en

Abstract

Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"(1)

Petro Mohyla Black Sea National University (UA)

Openalex Percentile: Top 57%

ECG Monitoring and Analysis

DOI Open Access PDF OpenAlex

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UTILISING THE CAPABILITIES OF THE PANDAS, NUMPY, AND RUPTURES LIBRARIES FOR THE PROCESSING AND ANALYSIS OF AMBULATORY BLOOD PRESSURE MONITORING DATA ARRAYS — Yevhen Darnapuk · Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University" (2025) | TGRS Research Map | TGRS