Key result
Athletic training and exercise testing allowed for good stratification of subjects using ECG signal processing methods, particularly the Multiscale Entropy (MSE1) variable.
Why the study?
Does advanced ECG signal processing during exercise testing improve the stratification of cardiovascular response and arrhythmic risk in young and master athletes compared to untrained controls?
Observational
Does advanced ECG signal processing during exercise testing improve the stratification of cardiovascular response and arrhythmic risk in young and master athletes compared to untrained controls?
Advanced ECG signal processing techniques, particularly Multiscale Entropy analysis, can effectively stratify cardiovascular responses to exercise in athletes versus untrained controls.
MSE analysis of exercise ECG may support athlete stratification; hypothesis-generating for arrhythmic risk without prospective validation.
This paper aims to evaluate the cardiovascular response to exercise in young and master athletes. The study involves comparison with control groups of untrained subjects of the same age. The paper describes in particular the processing methods and results concerning the ECG signals collected during exercise test. Methods include PNN calculation, Multiscale Entropy analysis (MSE), and a comparison between clustering and an Artificial Neural Network analysis performed by means of chaotic attractors. The analyses carried out lead to a good stratification of the subjects, especially in terms of the MSE1 variable. Future developments are underway supported by many other diagnostic tests administered to the same subjects. The project aims to evaluate the cardiovascular response to exercise in young and master athletes. The study involves comparison with control groups of untrained subjects of the same age. The complete surveys provided during the study have been: 12-lead resting ECG, cardiopulmonary exercise test, venipuncture with doses of various parameters, echocardiogram, ambulatory ECG, T-wave alternans (TWA). This paper describes in particular the processing methods and results concerning the ECG signals collected during exercise test. The presence of cardiac remodeling in elite athletes is a concept known ever since the last decade of XIX century, when the percussion techniques of the cardiac area allowed to identify an increase in the volume of the heart in subjects who practiced competitive sport. Later, the introduction into clinical practice of echocardiographic techniques has allowed us to better understand cardiac physiology of the athletes and the impact that different modes of sport and exercise training on cardiac structure and function, allowing to characterize in detail the framework of the athlete heart . In addition, modern methods of non-invasive and invasive electrophysiology contribute to deepen the possible correlation between the type and intensity of athletic
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Pizzi et al. (2014) conducted an observational in Athletic training. Athletic training vs. Untrained subjects of the same age was evaluated on Cardiovascular response to exercise assessed via ECG signal processing (Multiscale Entropy analysis). Athletic training and exercise testing allowed for good stratification of subjects using ECG signal processing methods, particularly the Multiscale Entropy (MSE1) variable.
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