SYSTEM AND METHOD FOR DETECTING AND REMOVING PERIODIC NON-PHYSIOLOGICAL ARTIFACT FROM EVOKED POTENTIALS
An automated electrophysiological response analysis apparatus for identifying and eliminating signals having non-physiological artifact noise from an averaged evoked potential signal, wherein the apparatus is adapted to identify in an electrophysiological response at least one characteristic representative of non-physiological artifact noise to classify the signal as an artifact signal and remove the artifact signal from a collection of signals used to generate the averaged evoked potential signal.
1 . A method for identifying and eliminating signals having non-physiological artifact noise from an averaged evoked potential signal in a patient, the method comprising:
recording a plurality of resultant waveforms generated by a nervous system of the patient, resulting from stimulation of one or more nerves of the nervous system;
detecting whether a non-physiological artifact noise is present in at least one resultant waveform by identifying in the at least one resultant waveform at least one characteristic representative of a signal having the non-physiological artifact noise;
classifying the at least one resultant waveform as an artifact signal if the non-physiological artifact noise is present;
removing the artifact signal from the plurality of resultant waveforms;
generating an averaged evoked potential signal from the plurality of resultant waveforms; and
generating positioning effect information about the patient using the averaged evoked potential signal.
2 . The method of claim 1 , further comprising stimulating the one or more nerves of the nervous system.
3 . The method of claim 2 , wherein the one or more nerves includes a peripheral nerve.
4 . The method of claim 1 , wherein the non-physiological artifact noise is pacing artifact from a pacemaker.
5 . The method of claim 1 , wherein the at least one characteristic is at least one from the group consisting of: a minimum slope, minimum amplitude, a maximum rise time, a maximum fall time, a minimum peak duration, and a maximum activity between a rising edge and a falling edge of the signal.
6 . The method of claim 1 , further comprising identifying a plurality of characteristics representative of non-physiological artifact noise by analyzing the signal for a first characteristic and if the first characteristic is present, continuing to analyze the signal for a second characteristic.
7 . The method of claim 1 , further comprising transmitting the positioning effect information to display or generate an alert based on the positioning effect information.
8 . The method of claim 2 , wherein the stimulating is achieved by at least one stimulating electrode coupled to arms and/or legs of the patient.
9 . The method of claim 1 , wherein the recording is achieved by at least one recording electrode coupled to a head, neck, spine, arms, legs, trunk, Erb's point and/or torso of the patient.
10 . The method of claim 1 , wherein the plurality of resultant waveforms used to generate the averaged evoked potential signal comprises the remaining resultant electrical waveforms of the plurality of resultant waveforms in which the artifact signal is not present.
11 . An apparatus for monitoring, detecting, identifying, and eliminating non-physiological artifact noise in a physiological system from which the evoked potentials or ensemble averages are obtained, wherein the apparatus is configured to implement the method of claim 1 so as to identify artifacts in the plurality of resultant waveforms and reject those resultant waveforms that contain such artifacts from the averaged evoked potential signal.
12 . The apparatus of claim 11 , wherein the apparatus further comprises a system that processes electrophysiological responses sequentially looking for a series of characteristics.
13 . The apparatus of claim 11 , wherein the apparatus further comprises a system that processes electrophysiological responses sequentially looking for a single primary characteristic.
14 . The apparatus of claim 11 , wherein the apparatus further comprises a system that iteratively processes electrophysiological responses meeting a preceding identified characteristic for a further characteristic, stops processing if a characteristic is not found, and rejects an electrophysiological response from an averaged evoked potential signal if all characteristics are found.
15 . The apparatus of claim 12 , wherein the series of characteristics comprises but is not limited to amplitude, rise time, fall time, peak duration, and pre- and post-peak slope.
16 . The apparatus in claim 11 , wherein the apparatus is configured to feed information to other devices in a surgical environment that allows the other devices to identify the presence of pacemaker activity.