Svexa’s team continues to be involved with cutting edge science in the field of human performance, pursuing our own R&D that underpins our product development. This includes studies focused on the detection of overtraining.
optimize performance avoid overtraining
For example, in their new publication A Simple Model for Diagnosis of Maladaptations to Exercise Training, Svexa CSO Filip Larsen and PhD student Lina Nilsson with colleagues have constructed a new model designed to optimize the training load of athletes and avoid overtraining.
These results of these studies are already implemented in svexa’s product suite, available as an overtraining detection algorithm via API or as part of svexa’s adaptive training systems such as Ellida and Irma, enabling each athlete to generate optimal training plans based on their individual physiology, while avoiding overtraining.
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