摘要：The paper focuses on automation of signal processing,which also considers analysis of biomedical data,such as EEG. The results of the study prove that this enables a better understanding of signal changes and makes it possible to address some specific disturbances. It also makes it possible to de scribe the relevant changes in signals mathematically and helps to create mark_x0002_ers of various brain disorders. This paper presents the study at the initial stage and focuses on the mathematical markers of concentration disorders associated with Theta waves. The presented markers presented are based on Welch’s pe?riodograms. The obtained results are very promising and further studies aimed at refining them are currently being carried out.
