Overview of applications in fitness
We offer an overview of some of the methodological and practical areas of application technology PhA unprofessional sports and fitness. Practical applications of PhA in these activities are mainly associated with enhanced monitoring of physiological variables of the organism during physical exercise.
The purpose of sports engineering - implementation in practice of sports, physical education and recreation latest achievements of science and technology to improve the efficiency of training athletes, improvement of technological and functional quality sports equipment and equipment for sports, fitness and recreation.
PhA technology is the basis for the development of software and hardware research and
Applied destination in the field of sports and fitness. Technology PhA, in particular its identification subsystem can be intellectual element for measurement, control devices, simulators.
Advanced features with cardio
PhA technology provides new possibilities for advanced cardio. The ability to monitor the level of lactate in the blood, control zones aerobic and anaerobic loads not only heart rate but also the actual level of lactate.
To monitor with cardio training value of lactate levels in the body, motitoringa points in time and the level of the load in excess of the level of the individual anaerobic threshold does not require any special equipment, except for the usual heart rate sensor.
A. P. Proshin and Yu. V. Solodyannikov. Identification of the parameters of blood circulation system // Automation and Remote Control, Vol. 71, No. 8, 2010, pp. 1629-1647.
A formulation of the problem of parametric identification from measurements of periodic motion was considered using a mathematical model of the blood circulation system. A method for its numerical solution on the basis of the random global search algorithm was proposed. A software realization of the identification procedure as parallel computation processes in the symmetrical multiprocessor computer systems and the distributed computation environment was described. Practical applications were considered using the example of factor analysis of the origins of arterial hypertension and also medical and sport applications, including the noninvasive monitoring of the level of blood hemoglobin and some kinds of stimulants.