engleski

Recording human locomotion control using non-invasive electroencephalography

Within the last decade we can observe rise of the need to qualitatively and quantitatively link measurable biomarkers (like the electrical activation patterns of human brain by means of electroencephalography (EEG), magnetoencephalography, polysomnography, functional magnetic-resonance imaging or surface electromyography of skeletal muscles activation) during movement to the behaviour of the biomechanical system. The reasons for this increased attention can be found in two parallel processes: more accessible and functional measuring systems and new investigations that opened new horizons for researchers and practitioners. PURPOSE: This study presents an evaluation of wearable non-invasive EEG data acquisition system in recording human locomotion control in objective of markers extraction. METHODS: In preliminary phase two subjects were parallel tested using 7 EEG sensors system (of which two are for the references) with semi-dry polymer electrodes together with additional 9 axis sensor (3 axis gyroscope, 3 axis accelerometer, 3 axis magnetometer), and 18 EEG sensors system with saline soaked felt mats (of which two are for references) respectively for validation of the first device. Further six subjects where to be tested likewise just with first EEG sensory system. Two batteries of tests were carried out with five repetitions each for each of the subjects ; one for easy locomotor motion task, the other for complex locomotor motion task. RESULTS: measurement results obtained from subjects for AF3, AF4, T7, T8, Pz points and two test where acquired, the collected raw data are subjected to filtering and statistical analysis and the computed artefacts (markers) were compared. Although the results showed significant differences between these two types of locomotor motion, without additional testing it is not possible to form a strong statements. CONCLUSIONS: It was found, that non-invasive electroencephalography may be a very useful tool in information extraction for further biomechanical analysis. Downside is possibility of uncertainty present in interpretation of results obtained by non-invasive EEG measuring system, which could be improved by acquisition and including other available measurements.

non-invasive EEG, biomechanics, locomotion, biomarkers

nije evidentirano