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Data-based brain training

With the help of neurofeedback, people should learn to better perceive and control their own brain activities. Various learning and training mechanisms are used, such as the supercompensation model and operant conditioning.


Originally developed for medical applications, including ADD / ADHD, depression and epilepsy, brainboost also uses neurofeedback for peak performance training.

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Neurofeedback explained as a graphic

Neurofeedback, Process, Graphic, EEG Training, qEEG

The person being trained (left) receives a permanent EEG recording. The frequency bands are analyzed in real time.


Depending on the training goal, for example relaxation or concentration, positive or negative feedback is given depending on the constellation of brain waves.


This happens in the graphic via a small game that reacts to the change of the waves with success (figure floats up) or failure (figure sinks down).

Design of the training

Neurofeedback Training, Process, Trainingsschedule, Goal

Relaxation training as an example

Goal: Increase alpha amplitude

Neurofeedback, Biofeedback, EEG Training, Relaxation, Stress

The trainee shows a high proportion of alpha waves. This is intended during relaxation training, and positive feedback is given for this period.

The user has entered a phase of tension. In a relaxation training this would not be desired - a negative feedback occurs.

The trainee has again managed to generate a higher proportion of alpha waves. In return, there is again a positive feedback. A learning effect is created.

Feedback is transferred in real time to the game on the screen

(Further explanation on our practice website)

Neurofeedback, EEG Training, Neurofeedback Software, Gamification, Monk, Relaxation
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