BoSeNet

Viewing the brain as an open system enables the analysis of interactions with other (sub)systems of the body beyond the internal dynamics of the brain. According to recent studies, the interactions between the central nervous system (CNS) and the autonomic nervous system (ANS) appear to occur on much longer time scales than the traditionally described frequencies in the EEG. There is a need to develop a mobile monitoring system for the acquisition of low-frequency EEG in the context of a multimodal body sensor network (BSN) for research, modeling and future clinical use of the interactions of these low-frequency EEG components with physiological and pathological processes in the human body. Within BoSeNet, we aim to realize an innovative BSN-based monitoring system with the following core innovations:
1) Compact, mobile body sensor network
2) Multimodal signal acquisition
3) First mobile DC-EEG and SpO2 acquisition
4) Gel-free sensor concepts
5) New methods of online analysis
6) Combination of edge computing and cloud-based machine learning