U.S. patents available from 1976 to present.
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Method of classifying heart rhythms by analyzing several morphology defining metrics derived for a patient's QRS complex

Patent 5400795 Issued on March 28, 1995. Estimated Expiration Date: Icon_subject October 22, 2013. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

3654916

3658055

3807392

Apparatus for pattern recognition of ECG signals for detecting fibrillation
Patent #: 4453551
Issued on: 06/12/1984
Inventor: Anderson ,   et al.

Arrhythmia detection and defibrillation system and method
Patent #: 4475551
Issued on: 10/09/1984
Inventor: Langer ,   et al.

Implantable cardiac stimulator for detection and treatment of ventricular arrhythmias
Patent #: 4830006
Issued on: 05/16/1989
Inventor: Haluska ,   et al.

Method and system for monitoring electrocardiographic signals and detecting a pathological cardiac arrhythmia such as ventricular tachycardia
Patent #: 5000189
Issued on: 03/19/1991
Inventor: Throne, et al.

Method and apparatus for detecting a sequence of abnormal events in an electrical signal, particularly in the depolarization signal of a heart
Patent #: 5058599
Issued on: 10/22/1991
Inventor: Andersen

Arrhythmia control system employing arrhythmia recognition algorithm Patent #: 5086772
Issued on: 02/11/1992
Inventor: Larnard, et al.

Inventors

Assignee

Application

No. 141805 filed on 10/22/1993

US Classes:

600/515, Detecting arrhythmia128/925Neural network

Examiners

Primary: Kamm, William E.

Attorney, Agent or Firm

International Class

A61B 005/047.2

Abstract

A method, useable in implantable cardioverter defibrillators, for classifying heart rhythms of a patient by means of electrogram morphology. A number of features (metrics) of the electrogram are measured to form a description of the shape of individual electrograms, and the metrics are then converted into a cardiac rhythm diagnosis by means of a pattern classification technique.

Other References

  • Automatic Tachycardia Recognition (Robert Arzbaecher, Thomas Bump, Janice Jenkins, Katherine Glick, Fran Munkenbeck, Jeffrey Brown, N. Nandhakumar) Pace, vol. 7 (II) pp. 541-547, May-Jun. 1984
  • Tachycardia Detection In Implantable Antitachycardia Devices (Janice Jenkins, Thomas Bump, Fran Munkenbeck, Jeffrey Brown, Robert Arzbaecher) Pace, vol. 7 (II) pp. 1273-1277, Nov.-Dec. 1984
  • Tachycardia Recognition By Implantable Electronic Devices (A. John Camm, D. Wyn Davies, David E. Ward) Pace, vol. 10 pp. 1175-1190, Sep.-Oct. 1987
  • A Comparison Of Four New Time Domain Techniques For Discriminating Monomorphic Ventricular Tachycardia From Sinus Rhythm Using Ventricular Waveform Morphology (Robert D. Throne, Janice M. Jenkins, Lorenzo A. DiCarlo) IEEE Tr. on BioMed Eng. vol. 38(6), pp. 561-570, Jun. 1991
  • Automatic Methods For Detection Of Tachyarrhythmias By Antitachycardia Devices (Frank Pannizzo, Anthony D. Mercando, John D. Fisher, Seymour Furman) Journal of American College of Cardiology, Vo. 11, pp. 308-316, Feb. 1988
  • Engineering Aspects Of Implantable Defibrillators (Sanjeev Saksena, Nora Goldschlager) Electrical Therapy for Cardiac Arrhythmias: Pacing Antitachycardia Devices, Catheter Ablation published by W. B. Saunders, pp. 375-376 1990
  • Introduction To Statistical Pattern Recognition (Keinosuke Fukuaga) Academic Press, Inc., London, Second Edition, pp. 124-169, 1990
  • The Art Of Electronics (Paul Horowitz, Winfield Hill) The Art of Electronics (2nd Edition) Horowitz et al., Cambridge University Press, pp. 217-220, 1989
  • Pattern Classification And Scene Analysis (Richard O. Duda, Peter E. Hart) John Wiley & Sons, pp. 24-31, 197
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