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Time-varying evoked potentials: Monitoring and signal processing

Abstract:

Adaptive signal processing methods (adaptive impulse correlated filtering, and adaptive Fourier and Walsh function modeling) have been developed to record and analyze time-varying evoked potentials (EPs) in neurological critical care environments. Results show that the adaptive methods studied enhance the signal-to-noise ratio, and simultaneously track time-varying changes. The Fourier and Walsh function modeling approaches also identify incidence of injury from transient changes in the model parameters. It is argued that implementation of these algorithms in a real-time system would be useful in detecting injury to the brain in neurosurgery and neurological critical care.