Dual channel coherent fibrillation detection system

• US 4,799,493 A
• Filed: 03/13/1987
• Issued: 01/24/1989
• Est. Priority Date: 03/13/1987
• Status: Expired due to Term

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: DuFault, Robert A.
• Primary Examiner(s): Jaworski, Francis J.
• Assistant Examiner(s): MANUEL, GEORGE C
• Application Number:
  US07/025,811
• Time in Patent Office: 683 Days
• Field of Search: 128/696, 128/704, 128/705, 128/419 PG, 128/419 D
• US Class Current: 600/518
• CPC Class Codes: A61N 1/3622 comprising two or more electrodes co-operating with different heart regions
• CPC Class Codes: A61N 1/3956 Implantable devices for applying electric shocks to the heart, e.g. for cardioversion

Abstract

A tachyarrhythmia/fibrillation detector in which the Widrow-Hoff LMS algorithm is utilized for estimation of a transfer function. One or more LMS cancellers are placed between two separate sensing electrode pairs placed in or on the heart and by noting the convergence of the error signal or the lack thereof the type of tachyarrhythmia or a ventricular fibrillation condition can be discerned. With sinus rhythm, the error signal is small in power compared to the power of the desired response. With ventricular fibrillation, however the filter weights are unable to converge to cause the filter output signal to track desired signal and the filter output waveform becomes asynchronous with the desired response, yielding a detectably high error power.

Claims

1. Cardiac monitoring apparatus for identifying a variety of cardiac arrhythmias comprising:

(a) a first pair of electrodes for sensing cardiac electrical activity at a localized site within a cardiac chamber;

(b) a second pair of electrodes for sensing cardiac electrical activity at a generalized site within said cardiac chamber and producing a reference signal proportional thereto;

(c) variable transfer function LMS adaptive filler means having an input and an output;

(d) means for receiving said reference signal and said output from said variable transfer function LMS adaptive filter means for developing an error signal proportional to the difference between said reference signal and said output from said variable transfer function LMS adaptive filter means;

(e) means coupling said second pair of electrodes to said input to said variable transfer function LMS adaptive filter means; and

correlator

(f) means for comparing the amplitude of the error signal emanating from said variable transfer function LMS adaptive filter means with a predetermined threshold value for discriminating between plural types of tachyarrhythmias and ventricular fibrillation.

2. The cardiac monitoring apparatus as in claim 1 wherein said variable transfer function LMS adaptive filter means comprises:

(a) input signal delay means for sequentially presenting said sample input to variable gain devices;

(b) means for summing the outputs from said variable gain devices at predetermined times to form an estimate of a desired signal;

(c) means for successively algebraically adding said estimated desired signal to said reference input to form said error signal; and

means for applying said error signal to said variable gain devices for adjusting the gain values thereof.

3. A method of assessing cardiac tachycardia or comprising:

(a) first sensing cardiac electrical activity in a first location within the heart;

(b) second sensing cardiac electrical activity in a second location within the heart;

(c) continuously applying signals related to said electrical activity from said first and second sensing steps as a desired signal, d_k, and as an input signal X_k, to an adaptive LMS filter;

(d) deriving an estimate signal, Y_k, from said adaptive LMS filter;

(e) deriving an error signal, E_k, from said desired and estimate signals in accordance with the equation;

space="preserve" listing-type="equation">E.sub.k =d.sub.k -Y.sub.k

where k is a time index, d_k is the desired signal at time k and Y_k is the product of a changeable weight vector, w_k, and said input signal vector X_k, said error signal having a predetermined characteristic upon the occurrence tachycardia or ventricular fibrillation.

4. The method as in claim 3 and further including the step of periodically updating said weight vector, W_k, in accordance with the formula:

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

E.sub.k X.sub.k

where μ

is an adaptation time constant.