| Abstrakt: |
A study conducted by eCampus University introduces a new method for identifying Aerobic Threshold (AerT) using Recurrence Quantification Analysis (RQA) of heart rate (HR) data. The research validates the RQA-based method's accuracy across different age groups, exercise protocols, and health conditions, showing strong correlations with traditional methods. This method offers a cost-effective, non-invasive, and objective tool for personalized exercise prescription and health risk assessment. The study's findings suggest broad applicability and reliability of the RQA-based method in detecting AerT. [Extracted from the article] |
