Uses of regression in real time processing of neurophysiological signals

A set of least squares regression techniques are described for use in real time processing of neural signals in the operating room. These techniques may be understood as equivalent to application of unrealizable ideal filters. The obtained effects include high pass filtering, notch filtering, and identification and removal of noise identified from a reference signal.