Multifunctional Neurodevice for Recognition of Electrophysiological Signals and Data Transmission in an Exoskeleton Construction

摘要

The most important task of health care is the increasing of life expectancy and improving the quality of life of thepopulation. Taking into consideration the high numbers of disability, it is very relevant to establish a high-precisionneurodevice, allowing the integration of people with limited functional abilities into the society. This paper presents theprovisional results of a research work, the main aim of which was to develop the multifunctional neurodevice with theability to transfer data to an exoskeleton construction. In the first phase, we selected the optimal way for a neurodevicelayout that would be capable to measure the electromyography (EMG), electroencephalography (EEG), electrooculography(EOG), photoplethysmography, body temperature for a long period of time, and also motor activity with theability to send data to a remote practitioner in real time. The software was developed. Experiments were conducted;at the same time the final (residual) graphical results were compared with the commercially available devices. Theexperimental results showed a high accuracy of the signals of EEG, EMG, EOG, photoplethysmography, thermometry,and physical activity. In conclusion, with the participation of 10 healthy volunteers, the study of hybridization of EEGand EMG signals was carried out, and it showed a significant advantage in comparison with only one modal system. Itis expected that a further work will allow us to formulate optimal technical solutions based on the present knowledge ofhuman physiology. This would be the basis for creating a highly accurate and safe multifunction neurodevice and wouldbe able to meet the medico-social needs and would help to reintegrate people with disabilities into society by connectingthem to the robotic technique, to the exoskeletons.