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MOTION-AE: an Intelligent Mobile Application for Aerobic Endurance Training

Adrian Patrascu, Adrian Ungureanu, Monica Patrascu, Monica Dragoicea, Iacob Hantiu


A significant part in the field of physical activity is represented by aerobic endurance training due to the fact that it depends primarily on aerobic energy generating processes. The stress of aerobic workout induces adaptations in the cardiovascular and respiratory systems which generate an optimal output of performance. Maintaining the heart rate and breathing at a set value of intensity, determined by the individual’s unique characteristics, is one way of enhancing the performance output of training. Determining these operating points that ensure desired results are often hard to calculate with classical methods, especially in the presence of nonlinearity of the heart rate variability. This paper presents a mobile application, MOTION-AE, designed for setting the optimal intensity of the aerobic endurance training, using an intelligent decision making method. The software application was tested and validated using data from various subjects. The designed mobile application takes into account the individual’s unique characteristics and ensures the optimal intensity of the training session, finding its usefulness in supporting the configuration process of training parameters by specialized professionals.


mHealth Systems, Mobile Applications, Intelligent Decision Making, Fuzzy Decision, Aerobic Endurance Training, Heart Rate Variability.

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