Resilience Aspects in Distributed Wireless Electroencephalographic Sampling. (arXiv:2201.01272v1 [eess.SP])

Resilience aspects of remote electroencephalography sampling are considered.
The possibility to use motion sensors data and measurement of industrial power
network interference for detection of failed sampling channels is demonstrated.
No significant correlation between signals of failed channels and motion
sensors data is shown. Level of 50 Hz spectral component from failed channels
significantly differs from level of 50 Hz component of normally operating
channel. Conclusions about application of these results for increasing
resilience of electroencephalography sampling is made.

arxiv distributed resilience