There are multiple different measures to evaluate the effects of physical exercise from the collected data alone. Increasing availability and popularity of health technology including wearable devices such as wrist monitors, rings and smart clothing brings significant possibilities to analyze the physiological signals in everyday life. However, detailed statistical analysis reveals the particular strengths and weaknessess of each method with respect to the agreement and consistency with the thresholds-thus underlining the need for further studies with more data. Our method provides the best overall agreement with the lactate thresholds and provides a promising, cost-effective alternative to conventional protocols, which could be easily integrated in wearable devices. The results for 15 volunteers who participated in a cyclo-ergometer test are compared to the benchmark lactate thresholds, as well as to the ventilatory threshods and alternative HR-based estimates based on the maximal HR and the conventional detrended fluctuation analysis (DFA). These changes are further used in the definition of an individual measure to estimate the aerobic and anaerobic threshold. The training intensity is shown to be in direct correspondence with the time- and scale-dependent changes in the DDFA scaling exponent. The method utilizes a newly developed dynamical detrended fluctuation analysis (DDFA) to assess the real-time changes in the dynamical correlations of the RR intervals during exercise. Here, we introduce and validate a computational method based on the RR interval (RRI) dynamics of the heart rate (HR) measurement, which enables a simple, yet reasonably accurate estimation of both metabolic thresholds. Conventionally, these thresholds are derived from the respiratory gas exchange or blood lactate concentration measurements. 2Kauppi Sports Coaching Ltd., Tampere, FinlandĪerobic and anaerobic thresholds of the three-zone exercise model are often used to evaluate the exercise intensity and optimize the training load. 1Computational Physics Laboratory, Tampere University, Tampere, Finland.Matias Kanniainen 1* Teemu Pukkila 1 Joonas Kuisma 1 Matti Molkkari 1 Kimmo Lajunen 2 Esa Räsänen 1
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