Algorithm developed at UW will help athletes perform better
The new system on the basis of current analysis of biological and biochemical parameters will allow to adjust the level of physical activity and training to the current capabilities of the body. The solution is supposed to automatically modify the planned training load, so that the athlete will stay within the limits of the optimal training intensity level for him, and his work will produce the best possible results.
The idea behind the solution developed at the University of Warsaw is to provide the maximum possible progress to be achieved without overtraining. The solution is ultimately to be offered not only to professional athletes, but also to amateurs and anyone who would like to achieve in a safe way aob dream sports goal – e.g. run a marathon.
– In my youth I trained swimming. That was many years ago, but in terms of sports training not much has changed since then. Training parameters are determined by the coach based on his knowledge, experience and intuition. In doing so, however, it often does not use modern tools that give objective data, whichore allow to personalize training in relation to the characteristics and current state of the athlete. The result is sometimes overtraining and a decline in form, and above all, athletes can only reach the maximum of their capabilities by accident – moThe inventor of the Activiti system, Professor Robert Malecki from the Institute of German Studies at the Faculty of Neophilology of the University of Warsaw, who is also an active triathlete and has participated in the European championships at Ironman 70 distance several times.3, a two-time participant in the competitionoin Kona and dozens of athletesoin the Ironman and Ironman 70 distances.3.
The developed algorithm, analyzing data on key indicatorsow biological and biochemical characteristics of the athlete, will make a – Depending on the current situation and needs – smaller or larger adjustments in the training plan. To determine the current state of the athlete’s body, the system uses basic biological parameters such as heart rate, blood sugar concentration, body temperature and also biochemical parameters, m.in. adrenaline or lactic acid levels. The measurement of all these parametersow does not require a visit to the lab. They can be performed at home. The ultimate goal of the solution is for each athlete to be in a kind of corridor, fork – Below overtraining, but above undertraining.
The project implemented by Robert Malecki has been wyroThe research was supported by the University Technology Transfer Center (UOTT) of the UW through a grant awarded in a competition organized under the Innovation Incubator program+.
– The grant funds will be used to confirm that the analytical model developed is correct. Wspohe purpose of working with athletes is to show that subtle modifications to the training plan will have an impact on the athlete’s organismow and their form. The plan for the commercialization of the technology is to set up a spospin off. When the effectiveness of the algorithm can be confirmedow, they are likely to be patented and offered to the market in the form of licenses – mowi Robert Dwilinski, director of UOTT UW.
– At this stage, the algorithm is being refined by specialistow. Supportoln conjunction with mathematicians, I check what is the optimal density of pointoin characterizing the loads, so as to ascertain the extent to which changes in the training plan are relevant. In January 2019, testing of the optimized algorithm began, and in March we will have the results. WoThen we will confirm that the algorithm works as intended – moProfessor Robert Malecki.
Carried out in cooperation withoThe cooperation with a group of athletesow tests will allow to prove the effectiveness of the algorithm. After the end of the 45-day testing period, all data of the athleteow will be analyzed. For example, if it can be confirmed that the use of the algorithm by a group of athletescowill cause (in cfownaniu to the group, whichora did not use the system) lowering resting heart rate, ktore is correlated with the level of exhaustion of the body, it will be dowod that the algorithm allows you to control the correct regeneration of the body.
There are many systems available on the marketoin monitoring physical activity. They show the basic parameters of the activity performed: distance, number of calories burned, heart rate. Having such data, one can refer to the guidebookow, download from the web free indicationsotraining regimen, or go to a trainer, ktory will develop a plan that allows you to prepare to achieve a specific goal in a given period of time. However, systems of this type do not use information about training goals. They do not take into account information about the athlete’s physical preparation, current health or condition. This means training runs based on averaging. Is not personalized and does not provide optimal resultsow possible to achieve by a given athlete. In such a situation, it is unclear whether the implementation of the training program, whether it was prepared by the trainer or downloaded from the web or a book, is proceeding optimally. The sportsman all the time asks himself questions: whether, for example. is not running too fast, or maybe too slow, how long he should recover, what the next workout should look like, etc.
Most young athletesoin those training in clubs or sports championship schools, there is no individualized training program tailored to the specifics of one’s own body and the parameters that change from day to dayow. Trainers schedule training and the whole group follows the same program. The load of a given day is too weak for some, too strong for others, and only for a few can it be optimal, i.e. one thatore will hit the so-called. sweet spot – ensuring maximum developmentoj without exhaustion.
– When an athlete feels that the load is too light, he or she can increase the intensity of training. However, if the load is too strong, there is no such possibility. In such situations, coaches often even increase loads because they think the athlete is getting lazy. Roalso the opinions of the athletes themselvesow about himself – About form and training are no guarantee that they are accurate. Only based on the analysis of objective parametersow can determine how to train optimally – Professor Robert Małecki added.
Someone mohead to say that the currently used model of sportsmen developmentow has proven itself for years. However, looking at the situation more closely, one can see that too much talent is being wasted nationwideow. Out of thousands of trained athletesow too rarely succeed in raising a champion. The problem, however, is ros also on the failure to train a group of playersow at a very high sporting level, only slightly lower than the championship level. In the intention of tworcy of the Activiti system is to be checked zaroIt is well known in sports circlesoin professional, as well as among theod ambitious amateuroin, whichoers regularly train hard, take care of regeneration, and yet do not improve their resultsow.