Students learn about modern technologies and development trends in the field of neuroengineering.

Introduction to engineering techniques used for better understanding the properties of nervous system. Options for improving the functionality of nervous system in the case of various pathologies. Introduction to techniques for solving the design problems at the interface of living neural tissue and machines. Mechanisms of sensory-motor system functioning. Sensory and motor disorders and possibilities of restoration and augmentation of human function via direct interactions between the nervous system and artificial devices (Brain Computer Interface – BCI and neural prostheses). The use of neural implants connected with external technology.

Introduction to Neuroengineering. Applying engineering techniques to analyse the properties of neural system. Applying engineering techniques to analyse the properties of neuromuscular system. Analysis in time and frequency domain. Electromyography (EMG), basic characteristics of EMG signal. Electroneurography (ENG), basic characteristics of ENG signal. Nerve conduction velocity measurement. Basic characteristics of EEG signal. Clinical electroencefalography. Evoked potentials, methods for processing evoked potentials. Nervous system modelling methods. Brain mapping methods. Transcranial magnetic stimulation. Brain Computer Interface (BCI) technology. Control interface and biofeedback.

Lectures. Computer practice. Laboratory practice. Consultations.