The new system is based on ongoing analysis of biological and biochemical parameters, and will allow you to adapt the level of physical activity and training to the body's current abilities. The solution will automatically modify planned training loads, thanks to which the athlete will remain within a range of training intensity optimal for them, and their efforts will bring the best possible effects.
The idea of the solution developed at UW is to ensure the maximum progress that can be achieved without overtraining. The solution will eventually be offered not only to professional athletes, but also to amateurs and anyone who would like to safely achieve their sporting dreams – e.g. running a marathon.
“The training parameters are set by the coach based on their knowledge, experience and intuition. However, the coach doesn’t use modern tools that put out objective data to enable training to be personalised in terms of characteristics and the current status of the athlete. The result can be overtraining and decreased performance, and the main thing is that athletes can achieve their maximum capacity only by accident,” said the inventor of the Activiti system, dr hab. Robert Małecki from the Institute of German Studies at the Faculty of Modern Languages of the University of Warsaw, also an active triathlete and several-time participant of the European and World Ironman championships.
The algorithm analyses data about the athlete’s key biological and biochemical indicators, and makes – depending on the current situation and needs – minor or major corrections to the training plan. To ascertain the current state of the athlete’s body, the system uses basic biological parameters, such as heart rate, blood sugar and body temperature, as well as biochemical parameters, including adrenaline and lactic acid levels. You don’t need to visit a laboratory to measure all of these. It can be done at home. The final goal is for each athlete to be in their ideal range – not overtraining, but also not undertraining.
Tests of the solution carried out in cooperation with a group of sportspersons will allow us to prove the effectiveness of the algorithm.
What's the advantage of this solution?
There are many systems on the market that monitor physical activity. They show basic parameters of the activity, such as distance, calories burned, and heart rate. Such data allow users to refer to guides, download free training tips, or see a trainer who will develop a plan to let them prepare to achieve a specific goal within a set time. However, these types of systems don’t use information about training goals. They don’t take into consideration any data about the athlete’s physical preparation, current state of health, or fitness. This means that training is based on averaged values. It’s not personalised and doesn’t guarantee the optimal results that can be achieved by the given individual. The athlete doesn’t know if their training programme, irrespective of whether they received it from a trainer, got it from a book, or downloaded it, is progressing optimally. The athlete is constantly asking themselves whether they’re running too fast or too slow, how long their recovery should be, and what the next training session should look like.