ECG enhancement by adaptive cancellation of electrosurgical interference

• US 4,537,200 A
• Filed: 07/07/1983
• Issued: 08/27/1985
• Est. Priority Date: 07/07/1983
• Status: Expired due to Fees

• Current Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Widrow, Bernard
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US06/512,191
• Time in Patent Office: 782 Days
• Field of Search: 128/695, 128/696, 128/419 PG, 128/704, 364/724
• US Class Current: 600/509
• CPC Class Codes: A61B 5/276 Protection against electrode failure
• CPC Class Codes: A61B 5/301 providing electrical separation, e.g. by using isolating transformers or optocouplers
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: H03H 21/0012 Digital adaptive filters

Abstract

A technique utilizing a combination of adaptive noise cancelling and conventional signal processing is developed to enhance electrocardiographic monitoring in the operating room by reducing the noise interference that is created by an electrosurgical instrument. Significant amounts of interference are eliminated by radio frequency shielding, passive and active lowpass filtering and optical isolation. A digital adaptive canceller using the least-mean-square algorithm is used to reduce the remainder of the interference, yielding an improvement in signal-to-noise ratio of approximately 100 dB.

Claims

1. In a patient monitoring system, means for improving the signal-to-noise ratio, comprising

(a) means for detecting primary signals from a patient comprising a desired signal and a noise signal,

(b) means for detecting a reference signal from the patient comprising substantially only said noise,

(c) means for filtering said patient originated signals;

and

(d) adaptive filter means comprising

(i) adaptive means responsive to the reference signal for continuously generating a reference noise signal comprising an estimate of the noise in the primary signal received at an input of said adaptive filter; and

(ii) means for subtracting said reference noise signal from said primary patient originated signal to provide an accurate representation of said desired signal.

2. A system as claimed in claim 1 wherein each of said primary and reference signal detecting means comprise a separate electrode adapted to be attached to spaced portions of the patient'"'"'s body.

3. A system as claimed in claim 2 wherein said filter means comprise passive filter means for eliminating RF interference from said patient signal.

4. A system as claimed in claim 3, wherein said filter means further comprise active filter means for filtering out high frequency noise from said patient originated signals, and means for coupling the output of said passive filter means to said active filter means, said passive filter means keeping high voltage RF interference away from said active filters.

5. A system as claimed in claim 2, wherein said adaptive filter means comprises

(a) a tapped delay line;

(b) means for summing the output of weighting means receiving said reference signal to establish a filtered reference noise signal;

(c) means for subtracting said filtered reference signal from said primary patient signal;

(d) means for feeding back an error signal which comprises the difference between the filtered reference signal and the primary patient signal to said weighting means to modify said weighting; and

(e) means for supplying the error signal to the patient monitor.

6. A system as claimed in claim 5, wherein said feedback means includes means for modifying the weightings according to the algorithm:

space="preserve" listing-type="equation">W.sub.j+1 =W.sub.j +2μ

ε

.sub.j X.sub.j ;

where

W_j is a weighting vector;

ε

_j is the error signal;

μ

is an adaptation constant;

X_j is an input signal vector; and

j is the digital time index.

7. A system as claimed in claim 2 wherein said means for adaptive filtering is an adaptive lattice filter of the minimum-square-error type.

8. A patient monitoring system as claimed in claim 2 wherein said adaptive filter means comprise a variable impulse response including means for adjusting the impulse response to minimize the mean magnitude of the error, or the mean square of the error, or the mean fourth of the error, or a symmetric function of the error in the output of said filter means comprising filtered patient monitoring signals.

9. A method of reducing noise in signals detected on a patient being monitored, comprising

(a) connecting a first pair of electrodes to the patient to detect a primary patient signal comprising both interference and a desired signal;

(b) connecting a second pair of electrodes to the patient in a position to detect a reference patient signal comprising approximately only the interference signal;

(c) filtering said primary and reference patient signals to reduce RF interference;

(d) filtering the reference signal to obtain a signal representing the remaining interference component of said primary signal;

(e) subtracting said remaining interference representing signal from said filtered patient signal to remove interference components from said patient signal.

10. A method as claimed in claim 9 wherein the remaining interference representing signal is continuously generated, and the interference representation is continuously concurrently subtracted from the primary patient signal.

11. A method as claimed in claim 10 wherein the interference representation is adaptively modified to represent the noise signal.