Non-Parametric Analysis of Factors Influencing Maximum Heart Rate in the Healthcare Sector
DOI:
https://doi.org/10.19166/jstfast.v8i2.9009Kata Kunci:
Expanded Median Test (K-Sample), Kruskal-Wallis Test, maximum heart rate factors, non-parametric analysis, Pearson Correlation TestAbstrak
This study aimed to analyze factors affecting maximal heart rate, including resting electrocardiogram (ECG) results, chest pain type, and blood pressure. Respondents were classified into risk groups based on these factors to facilitate analysis. In addition, the study applied a variety of non-parametric statistical tests tailored to the type of data and the objectives of the study. The methods used in this study were Expanded Median Test (K-Sample), Pearson Correlation Test, and Kruskal-Wallis Test, which were chosen because they were appropriate for the type of data and the purpose of the study which involved testing the median between multiple groups. The results showed that the factors that significantly affected maximal heart rate were ECG and type of chest pain, while blood pressure had no effect. The findings are expected to contribute to efforts in early detection and management of cardiovascular conditions by identifying modifiable factors that affect maximal heart rateReferensi
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Hak Cipta (c) 2024 Nicholas Andrew Tanubrata, William Samuel Sambow, Jonathan Christian, Ferry Vincenttius Ferdinand

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