Performance begins in everyday life
Most athletes are constantly looking for new ways to improve their performance. But few of them look where the greatest potential lies: in everyday life.
With 24-hour heart rate variability measurement, we analyze how your body and autonomic nervous system respond to training, stress, and recovery around the clock. The measurement is objective, precise, and scientifically sound.
We reveal which conscious and unconscious stressors influence your performance, where untapped potential lies, and how you can specifically adapt your everyday life to get more out of your training.
Especially for ambitious athletes who do not train full-time, everyday life is often the decisive long-term stressor. This is precisely where the most important levers for sustainable performance optimization lie.
Clear answers to key health questions
Our HRV measurement provides you with in-depth insights into your physical and mental health. You will learn how healthy you really are, which factors influence your health in the long term, and how you can maintain it. The analysis shows which activities in your everyday life generate positive stress and which ones cause you stress. It also reveals how mental and physical demands affect your sleep quality, how well your body recovers after work, stress, or training, and which changes in your lifestyle can improve your performance in the long term.
With this knowledge, you can specifically coordinate your training, recovery, and everyday life.
What parameters do we measure and what do they tell us?
Total Power
Total Power describes the total variability between all heartbeats within 24 hours. The higher this value, the greater your available performance potential. Every positive adjustment through training, restful sleep, or effective stress management is directly reflected in Total Power. The goal of a sustainable training process is to reactively increase this value.
Neurophysiological stress
This parameter shows how strongly mental and physical factors influence your endurance performance. It measures the effect of all training-related stress on cardiorespiratory performance.
An athlete who trains at the same heart rate but is mentally relaxed has a higher total power than the same athlete under mental stress. Statements such as "I wasn't clear-headed" can thus be measured. Neurophysiological stress shows you how much your everyday life limits your performance and where you can make improvements outside of training.
Stress-recovery parameter
The stress-recovery parameter summarizes all conscious and unconscious stressors of the last 24 hours and compares them with nighttime recovery. Even if the training was effective, an unfavorable value may indicate that everyday life is the limiting factor.
This is where there is great potential for many athletes. Targeted adjustments outside of training can increase performance in the long term. This parameter provides an overall picture of your total physical and mental stress and helps you to control training stimuli in a meaningful way.
Dynamics C
Recovery begins immediately after training. Dynamics C measures the heart rate difference before and after exercise and shows how well your system is shutting down. A difference of about ten beats per minute is considered sufficient. Values above this indicate a need for optimization in recovery. Very small differences indicate optimal downregulation.
The central idea behind this parameter is to increase performance in a targeted manner through high-quality recovery. Dynamics C helps you to actively control recovery instead of leaving it to chance.
Respiratory sinus arrhythmia
Respiratory sinus arrhythmia shows how your breathing rhythm responds to training stimuli, especially during sleep. It is closely related to the processing of training stimuli such as lactate.
If this value decreases, your body can cope well with stress and more intense stimuli are possible. If it increases, your system is overwhelmed and regeneration should be a priority. This parameter helps you to time your training phases better and recognize overload at an early stage.