Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
11/4/22, 11:20 AM - 11/4/22, 11:50 AM (Europe/Amsterdam) (30 minutes)

Jan Hubený, Ing.

A graduate of Czech technical university in Prague, Jan Hubený is an employee of National Institute of Mental Health in Czech Republic where he is part of clinical research program as a biomedical engineer. He works with hdEEG, EEG and PSG in a field of neurosciences. His main focus is in developing and implementation of hdEEG, EEG or PSG experiments and hdEEG analyses.


HdEEG methods are more commonly used in research especially in the area of neurosciences than in clinical neurology. However, those methods could also have a clinical significance. We propose two examples of clinical usage of hdEEG neuroimaging methods. First application example reflects the effect of vibratory stimulation on human EEG signals. This stimulation itself can trigger the kinesthetic illusion and has neurorehabilitation effects on long term immobile patients. We have designed and established the experiment using a Vibramoov device and hdEEG system on 5 healthy subjects. In this experiment we focused on the EEG correlates of complex kinesthetic illusion. Proper and deeper understanding using the hdEEG during vibratory stimulation can help with optimization and individualization of the therapeutic process in the future. Second clinical application of an hdEEG method was a single case study of consciousness in sleep. The subject under the study reported symptoms of sleeping insomnia while the standard polysomnographic (PSG) examination did not confirm any sleep disorder. In literature, It has been suggested that sleep disorders like parasomnia or sleep paralysis can be caused due to a partially awakened and partially sleeping brain. The hdEEG recording system integrated with a PSG system was used to address spatially specific patterns expected to explain the individual sleeping symptoms. In both cases we cover the methods for examination, experiment preparation and the data analysis.