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A system for spatiotemporal visualisation of bioelectromagnetic signals resolving superposed network activities. Scientists at the University of Duesseldorf, Germany, have developed a process to discriminate biological signalling of different networks that co-localize within one dense region. These signals so far have been indistinguishable by conventional methodologies. The system is independent of standardization by external references and therefore dynBSR is ideally suited for processing of bioelectromagnetic signals which usually differ among individuals in strength, shape and characteristics.
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