Over the past two decades, the analysis of Heart Rate Variability (HRV) has garnered considerable traction, serving as a pivotal tool in studying various disease pathologies. HRV analyses encompass methodologies aimed at quantifying Heart Rate (HR) variations non-invasively. This study aimed to conceive, assess, and apply an accessible HRV analysis. The presented analysis integrates four primary categories of HRV techniques. The first two methods are the statistical and time-domain analysis. Moreover, the frequency-domain analysis, nonlinear analysis, and time-frequency analysis have been applied. Assessments of the presented analysis were conducted by conducting HRV analysis on simulated data. The results obtained from simulations indicated the reliability of the proposed analysis as an HRV analysis procedure. The presented analysis stands as a valuable resource, offering researchers an effective tool for conducting HRV analysis.
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Mahmoud et al. (2024) studied this question.
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