CA2061472C - Medical device with morphology discrimination - Google Patents

Medical device with morphology discrimination

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Publication number
CA2061472C
CA2061472C CA002061472A CA2061472A CA2061472C CA 2061472 C CA2061472 C CA 2061472C CA 002061472 A CA002061472 A CA 002061472A CA 2061472 A CA2061472 A CA 2061472A CA 2061472 C CA2061472 C CA 2061472C
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Prior art keywords
complex
peak
peaks
waveform
standard
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CA002061472A
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French (fr)
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CA2061472A1 (en
Inventor
Michael O. Williams
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Pacesetter Inc
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Ventritex Inc
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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/362Heart stimulators
    • A61N1/365Heart stimulators controlled by a physiological parameter, e.g. heart potential
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/363Detecting tachycardia or bradycardia

Abstract

A medical device is provided for monitoring waveform complexes of intracardiac electrograms.
The intracardiac electrogram is identified by determining, with respect to a waveform peak of the intracardiac electrogram, its amplitude, width and polarity. The identification criteria are averaged and stored to provide a standard complex. Subsequent complexes are compared to the stored standard complex.
Such comparison includes comparing peaks of subsequent complexes with the peaks of a stored standard complex, aligning subsequent complexes with a stored standard complex, and providing a score associated with the comparisons and alignment.

Description

20~147~
, MEDICAL DEVICE WIT~
MORPHOLOGY DI8CRIMIN~TION

FIELD OF THE lNV~ lON
The present invention concerns a novel medical device and method for monitoring waveform complexes of intracardiac electrograms.1 B~CRGROUND OF T~E lNV~.~lON
It is very desirable to discriminate between normal cardiac rhythms and arrhythmias using a single, internally placed cardiac sensing lead. Previously, heart rate has typically been the criterion used for rhythm classification.
Using heart rate as the sole criterion for rhythm classification is problematic. Many physically active patients have heart rates during exercise that overlap with their tachycardia rates. Other patients exhibit supraventricular tachycardias, the rates of which overlap with rates of tachycardias of ventricular origin.
These supraventricular tachycardias are often well tolerated and require no intervention.

- An intracardiac electrogram (ICEG) is the electrical activity of the heart as seen by a cardiac sensing lead on or in the heart.

2061~72 When physicians classify an intracardiac rhythm, they examine the morphology of the electrocardiogram in addition to the heart rate. The shape of an intracardiac complex holds information on the origin and sequence of the heart's electrical activity.
A normal intracardiac complex traverses the AV node and is conducted by specialized cardiac tissue throughout the ventricles. This results in a distinctive complex morphology. A tachycardia of ventricular origin often has a very different morphology due to its ectopic origin and conductance through cardiac muscle tissue.
Sensing of the atria, in addition to the ventricles, would provide the most direct information on whether a complex was of normal or ventricular origin.2 This requires another sensing lead and more complex sensing electronics. Currently available bradycardia pacemakers sense in both chambers but do so with the added cost of an additional sensing lead and device complexity.

The use of multiple leads in the ventricles has been proposed. Thi~ would allow a determination of the 2. "Tachycardia Detection in Implantable Antitachycardia Devices", Jenkins J., Bump T., et al., PACE Vol. 7 November-December 1984 Part II.

2r~ l 4~2 ventricular activation pattern and provide more information on the source and sequence of ventricular electrical activity. 3 The use of correlation programs to determine whether a complex matches a stored template has been proposed. This stored template is normally taken to be the normal intracardiac complex and a poor correlation to its shape is an indication of a tachyarrhythmia. These correlation programs require large amounts of computation and are unrealistic for the microprocessors and batteries used in today's implanted devices.4 3. "Dual Lead Fibrillation Detection for Implantable Defibrillators via LMS Algorithm", DuFault RA, Wilcox AC, Proceedings of the Eighth Annual Conference of the IEEE/Engineering in Medicine and Biology Society.
4. "Time Domain and Spectral Analysis of Electrograms in Man During Regular Ventricular Activity and Ventricular Fibrillation", Morkrid L, Ohm O, Engedal H, IEEE
Transactions on Biomedical Engineering Vol. BME-31 No. 4, April 1984.

"Identification of Ventricular Tachycardia Using Intracavitary Ventricular Electrograms: Analysis of Time and Frequency Domain Patterns", Lin D, Dicarlo LA, Jenkins JM, PACE Vol. 11, November 1988.

20S1~2 Many template generating and comparison schemes have been proposed and patented. 5 Many of these are concerned with templates consisting of discrete samples of the signal's amplitude.
It has also been suggested that examination of the slopes of the peaks within the intracardiac complex can be used to discriminate between normal and tachyarrhythmic complexes.6 An existing defibrillator uses a probability density function (PDF) as an additional criterion for rhythm classification. This is a measure of the time the heart spends at electrical rest. PDF is not based on the morphology of complexes.
5. Method and Apparatus for Comparing Waveform Shapes of Time-Varying Signals, U.S. Patent Number 4,893,632.
Electrical Cardiac Defibrillator, U.S. Patent Number 3,857,398.
System and Method for Predicting Ventricular Tachycardia by Derivative Analysis, U.S. Patent Number 4,492,235.
Method and Apparatus for Analyzing Electrocardiographic Signals, U.S. Patent Number 4,680,708.
Electrocardiogram Monitoring Apparatus, U.S. Patent Number 3,829,766.
6. "Detection o~ Pathological Tachycardia by Analysis of Electrogram Morphology", Davies DW., Wainwright RJ, et al., PACE Vol. 9 March-April 1986.

20~1 4~
Accordingly, the present invention seeks to provide an improved medical device such as a cardiac pacer or a cardiac defibrillator, with morphology discrimination.
Further, the present invention seeks to provide a device and method for discriminating between intracardiac electrical activity of supraventricular origin and intracardiac electrical activity of ventricular origin.
Still further, the present invention seeks to provide a self-contained implantable medical device for monitoring waveform complexes of intracardiac electrograms, in a highly effective and efficient manner.
Other aspects and advantages of the present invention will become apparent as the description proceeds.

SUMMARY OF THE INVENTION
In accordance with the present invention, a medical device is provided for monitoring waveform complexes of intracardiac electrograms. The device comprises electrode means adapted to be coupled to a patient's heart and sensing means having an input coupled to the electrode means for sensing analog intracardiac electrograms. Analog to digital converter means is provided for converting the analog intracardiac electrogram to digital form. Means are provided for examining the intracardiac electrogram. The examining means comprise means for determining, with respect to a waveform peak of the digitized intracardiac electrogram, its amplitude, width and polarity, to provide identification criteria. Means are provided for storing the identification criteria.

The invention also comprehends a method of monitoring waveform complexes of intracardiac electrograms including the steps of using the apparatus.
In the illustrative embodiment, means are provided for concluding if the examined peak is within the same waveform complex as the previous peak. The concluding means comprise means for determining whether the examined peak occurred within a predetermined time after the occurrence within a predetermined time after the occurrence of a previously-identified peak, determining whether the examined peak occurred within a predetermined time after occurrence of a first identified peak of a new waveform complex, and determining whether a predetermined maximum number of peaks have occurred.
In an illustrative embodiment, the storing means is operable to store a standard waveform complex. To this end, a plurality of wavgeform complexes is average to provide the standard complex. The averaging means is operable periodically, when a predetermined number of waveform complexes have occurred.
Means are provided for recognizing a significant change in the stored standard complex and for generating a new standard complex when a significant change has occurred.
In the illustrative embodiment, peaks of subsequent complexes are compared with peaks of a standard complex. Means are provided for aligning subsequent complexes with a stored standard complex and there are means for providing a score associated with the comparisons and alignment. The aligning means comprises means for determining maximum peaks for each complex, means for matching the polarities of the maximum peaks, - . 2a6l~7.~

and means for aligning (a) the dominant part of the complex having more peaks. The dominant part of a complex is understood to means those central peaks of a complex which have amplitudes which exceed some predetermined threshold. The dominant part of a complex is the critical portion for alignment of complexes.
It has been found that the preferred method of aligning two complexes having a different number of peaks in the dominent part is to set the complex with more peaks and adjust or align the complex with fewer peaks to it.
In the illustrative embodiment, the scoring that is provided has values that are indicative of the similarity or dissimilarity of the compared peaks. Further, the scoring has values that are indicative of the nature of the compared peaks.
A more detailed explanation of the invention is provided in the following description and claims, and is illustrated in the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWING
Fig. 1 is a diagram of a typical QRS complex from an intracardiac electrogram.
Fig. 2 is a block diagram of an implantable medical device constructed in accordance with the principles of the present invention.

2a6l~72 Figs. 3A and 3B, when connected together, are a flow chart describing the capture of waveform complexes.
Figs. 4A-4D, when connected together, are a flow chart describing the alignment of waveform complexes.
Figs. 5A and 5B, when connected together, are a flow chart describing the comparison of waveform complexes.
Fig. 6 is a flow chart describing the generation and maintenance of the standard complex.

The present invention is able to extract features from the intracardiac electrogram. Referring to Fig. 1, each intracardiac complex comprises a number of peaks 1, 2, 3, 4. Each of these peaks has attributes associated with it that define its shape. Each peak has an amplitude, a polarity, and a width. For example, peak 2 has an amplitude o~ 20, a negative polarity and a width of 4. Each waveform complex can be definçd as a series of peaks having an amplitude, a polarity and a width.
A block diagram of a self-contained implantable defibrillator according to the system of the invention is illustrated in Fig. 2. Referring to Fig. 2, the microprocessor 10 has a conventional architecture 2061~72 comprising a CPU 12, A ~OM 14, and RAM 16. The ROM 14 contains the program code that determines the operation of the device. The RAM 16 is used to store values which modify the operating characteristics of the device and 5 working values needed to carry out the programs.
Standard and subject complexes are also stored in the RAM
16 by the CPU 12. The CPU 12 performs the logical operations directed by the program code in the ROM 14.
Integrated circuit 18 is a microprocessor 10 peripheral and provides sensing, digitization, waveform analysis, and timing functions. Electrogram sens$ng circuitry 20, including an amplifier and filter, interfaces with the ventricle of the heart 22 through line 24. This section amplifies and filters the sensed 15 electrogram. The analog to digital converter 26 converts the analog waveforms from sensing circuitry 20 to digital values representing the amplitude of the analog signals.
The waveform analysis circuits 28 extract peak amplitude, peak polarity and pealc width information from the 20 digitized data stream. The microprocessor 10 uses this information to discriminate arrhythmias from normal sinus rhythm. The waveform analyzer 28 incorporates an amplifier which can be controlled by the microprocessor 10. Different gain settings are used to keep the 25 intracardiac electrogram within a useful amplitude range, in accordance with the invention disclosed in Carroll and g 2~61472 Pless U.S. Patent No. 4,972,835, issued November 27, 1990 .
Microprocessor 10 is able to set two threshold values (an upper and a lower threshold) within the waveform analyzer 28. These threshold values are amplitudes against which the digitized intracardiac electrocardiogram is compared.
Microprocessor 10 can read registers 28a, 28b and 28c within the waveform analyzer 28 which contain information about the most recently encountered peak.
These registers 28a, 28b and 28c provide the data needed to characterize each peak. There are two width registers 28a and 28b available for CPU 12 to read. One width register 28a contains the number of milliseconds that the peak spent above the upper threshold, the other width register 28b contains the number of milliseconds spent above the lower threshold. There is a peak amplitude register 28c available for reading. The peak amplitude register -28c contains the peak amplitude seen for that peak so far. The peak amplitude register 28c also contains a sign bit which indicates the polarity of the peak.
Microprocessor 10 also selects the events which cause the microprocessor to begin execution of the ROM
program. These events include the crossing of the two thresholds in the upward and downward directions (e.g.

2061 ~72 leading edge (upward) crossing of the lower threshold, trailing edge (downward) crossing of the upper threshold, and timeout of CPU initiated timers.
A detailed description of a representative waveform analyzer 28 can be found in Pless and Carroll U.S. Patent No.
5,014,701, the disclosure of which may be referred to for further details thereof.
An intracardiac complex is said to occur when the upper threshold in the waveform analyzer 28 is exceeded. Lower threshold peaks which are a part of that complex can occur before and after the upper threshold crossing. All of these lower threshold peaks must be captured as well. This is accomplished by executing a ROM program at every trailing edge crossing of the lower threshold. The data characterizing that peak (amplitude, polarity, and width) can then be read and stored.
Ensuing peaks must occur within a prescribed time window to be considered members of the same complex. The time window is externally variable and has a nominal value of 80 milli-seconds. If a peak is captured outside this window it is deemedto be part of a different complex. For each complex there is a time limit and a limit on the number of peaks allowed. The time limit is externally variable and will nominally consist of a 206147~

window extending 100 to 200 milliseconds from the first detected peak. Capturing of peaks is also terminated when data for some number (5 is used through this application as an example) of peaks has been stored (whether or not the allowed complex time limit has been reached).
After all peaks of a complex have been captured, it is either used for maintenance of the standard or it is compared against the standard and scored. A flow chart describing the indentification and capture of a complex is shown in Figures 3A-3B.
While the microprocessor determines that the heart is in a normal rhythm, it generates and maintains a standard of an intracardiac complex. This standard changes over time to adapt to natural physiological changes that occur in the heart. This standard is an averaged characterization of a number of normal intracardiac complexes.
A heart is defined to be in normal rhythm when a running average of the intervals between each complex is above a threshold value. This insures that the heart has been beating slowly for the last few beats and is not in a tachycardia or exercise situation.
A number of complexes are averaged together to produce the standard. There must be high confidence that each complex averaged into the standard is a normal intracardiac complex. The interval preceding thatcomplex must not be a short interval and the current diagnosis must be normal. A new standard is produced every few intervals (e.g. 10-50). When the device is operating with variable gain (controlled by the waveform analyzer's amplifier), all complexes incorporated into the standard complex must have been acquired at the same gain setting.
The microprocessor recognizes when there has been an abrupt change in the normal rhythm and declares the standard to be invalid for the time it takes to generate a new standard. Figure 6 provides a more detailed description of the standard complex maintenance program.
When rhythm classification is needed for a series of complexes, updating of the standard is termlnated and comparison of the subject complexes to the standard complex is begun.
If the standard complex declares itself to be invalid, then no comparisons are performed, no scores are produced, and the program desiring the result of these comparisons is notified. If the standard complex is good, comparison is begun.
Comparison of two complexes is accomplished in three stages. In the first stage the gain setting of the subject complex is checked against the gain setting of the standard complex. If they differ, the comparison process is terminated and the subject complex is assigneda score of zero. The second step adjusts the complexes so their major peaks are aligned. A peak-by-peak comparison is then done to produce a score which reflects the similarity of the sub;ect complex to the standard complex.
Alignment of complexes is based upon the number and polarity of peaks above the upper threshold (called Upeaks below) for each complex. The program used for alignment assumes that: (1) Peaks within a complex grow in size until a dominant peak (or 2 peaks) is reached and then decrease in size; (2) subsequent peaks have opposing polarities; and (3) no non-Upeak exists between 2 Upeaks (big-small-big is not allowed). The program to align the complexes is shown in Figures 4A-4D. The program attempts to match the polarities of the Upeaks in each complex and, if the number of Upeaks differ, to place the dominant peak of the complex with fewer peaks in the center of the Upeaks of the complex with more peaks.
The result of the alignment process is a pointer to the peak of the subject complex where comparison is to begin. Comparison is always started at the first peak of the standard complex. The score for the subject complex is set to zero, initially. Each peak in the standard complex is compared to its equivalent peak in the subject complex. Points are subtracted or added to the score depending on the significance of the peaks compared and how well they match. Care is taken to handle peaks of either complex which have no e~uivalents.
For example, peaks of opposing polarities draw a 5 point penalty minimum. If either of these two peaks are Upeaks, 3 more points are subtracted. Peaks whose polarities and amplitudes match yet have different widths are treated less harshly. These peaXs draw a 1 point penalty minimum, 2 more points are subtracted if either peak is a Upeak. If two peaks match in all three categories a minimum of 2 points is awarded, 3 mo~e points are added if the standard peak is a Upeak. A
detailed description of the program is shown in Figures 5A-5B.
The result of the comparison process is a numeric score which can range from the negative integers into the positive integers up to the maximum score possible. The maximum score possible is the one generated when the standard complex is compared to itself. A negative or low score indicates a poor similarity between the standard and subject complex. The closer a score is to the maximum possible score, the closer the subject complex resembles the standard complex. These individual complex scores can be accumulated to produce an aggregate score for a series of 2061~72 complexes.
It can be seen that a novel medical device has been provided for the maintenance of a standard complex, the capture of subject complexes, comparison of subject complexes to standard complexes, and the generation of a measure of their similarity.
Although an illustrative embodiment of the invention has been shown and described, it is to be understood that various modifications and substitutions may be made by those skilled in the art without departing from the novel spirit and scope of the present invention.

Claims (23)

1. A medical device for monitoring waveform complexes of intracardiac electrograms, which comprises:
electrode means adapted to be coupled to a patient's heart;
sensing means having an input coupled to said electrode means for sensing analog intracardiac electrograms;
analog to digital converter means for converting the analog intracardiac electrogram to digital form;
means for examining the intracardiac electrogram, said examining means comprising means for determining, with respect to a waveform peak of said digitized intracardiac electrogram, its amplitude, width and polarity, to provide identification criteria; and means for storing said identification criteria, means for averaging a plurality of waveform complexes to provide a standard complex, said averaging means being operable periodically, when a predetermined number of waveform complexes have occurred.
2. A medical device for monitoring waveform complexes of intracardiac electrograms, which comprises:
electrode means adapted to be coupled to a patient's heart;
sensing means having an input coupled to said electrode means for sensing analog intracardiac electro-grams;
analog to digital converter means for converting the analog intracardiac electrogram to digital form;
means for examining the intracardiac electrogram, said examining means comprising means for determining, with respect to a waveform peak of said digitized intracardiac electrogram, its amplitude, width and polarity, to provide identification criteria;
means for storing said identification criteria; and means for concluding if the examined peak is within the same waveform complex as the previous peak.
3. A device as defined by claim 2, said concluding means comprising means for determining whether the examined peak occurred within a predetermined time after the occurrence of a previously identified peak.
4. A device as defined by claim 2, said concluding means comprising means for determining whether the examined peak occurred within a predetermined time after occurrence of a first examined peak of a new waveform complex.
5. A device as defined by claim 2, said concluding means comprising means for determining whether a predetermined maximum number of peaks have occurred.
6. A device as defined by claim 2, said concluding means comprising means for determining (a) whether the examined peak occurred within a predetermined time after the occurrence of a previously examined peak, (b) whether the examined peak occurred within a predetermined time after occurrence of a first examined peak of a new waveform complex, and (c) whether a predetermined maximum number of peaks have occurred.
7. A device as defined by claim 1, said storing means comprising means for storing a standard waveform complex; and further including means for comparing peaks of subsequent complexes with the peaks of a stored standard complex, means for aligning subsequent complexes with a stored standard complex, and means for providing a score associated with the comparisons and alignment.
8. A device as defined by claim 7, said aligning means comprising means for determining the number of peaks in each complex which exceed a predetermined upper threshold, means for determining the first peak for each complex which exceeds said predetermined upper threshold, means for matching the polarities of said first peaks, and means for aligning the complex having fewer peaks exceeding said upper threshold with the complex having more peaks exceeding said upper threshold.
9. A self-contained implantable medical device for monitoring waveform complexes of intracardiac electrograms, which comprises:
electrode means adapted to be coupled to a patient's heart;
sensing means having an input coupled to said electrode means for sensing analog intracardiac electro-grams;

analog to digital converter means for converting the analog intracardiac electrogram to digital form;
means for examining the intracardiac electrogram, said examining means comprising means for determining, with respect to a waveform peak of said digitized intracardiac electrogram, its amplitude, width, and polarity, to provide identification criteria;
means for storing said identification criteria to provide a standard waveform complex; and means for comparing subsequent complexes with said stored standard complex, said comparison means including means for providing a score associated with the comparison as a weighted function of whether the compared peaks exceed a predetermined upper threshold.
10. A method for monitoring waveform complexes of intracardiac electrograms, which comprises the steps of:
providing electrode means adapted for coupling to a patient's heart;
sensing analog intracardiac electrograms from said electrode means;
converting the analog intracardiac electrograms to a digital format;
examining the intracardiac electrogram, said examining step comprising the step of determining, with respect to a waveform peak of said digitized intracardiac electrogram, its amplitude, width and polarity, to provide identification criteria;
storing said identification criteria; and periodicaly averaging a plurality of waveform complexes to provide a standard complex when a predetermined number of waveform complexes have occurred.
11. A method of monitoring waveform complexes of intracardiac electrograms, which comprises the steps of:
providing electrode means adapted for coupling to a patient's heart;
sensing analog intracardiac electrograms from said electrode means;
converting the analog intracardiac electrograms to a digital format;
examining the intracardiac electrogram, said examining step comprising the step of determining, with respect to a waveform peak of said digitized intracardiac electrogram, its amplitude, width and polarity, to provide identification criteria;
storing said identification criteria; and concluding if the examined peak is within the same waveform complex as the previous peak.
12. A method as defined by claim 11, said concluding step including the step of determining whether the examined peak occurred within a predetermined time after the occurrence of a previously-examined peak.
13. A method as defined by claim 11, said concluding step including the step of determining whether the examined peak occurred within a predetermined time after occurrence of a first examined peak of a new waveform complex.
14. A method as defined by claim 11, said concluding step including the step of determining whether a predetermined maximum number of peaks have occurred.
15. A method as defined by claim 11, said concluding step including the steps of determining whether the examined peak occurred within a predetermined time after the occurrence of a previously-examined peak, determining whether the examined peak occurred within a predetermined time after occurrence of a first examined peak of a new waveform complex, and determining whether a predetermined maximum number of peaks have occurred.
16. A method as defined by claim 10, in which the storing step comprises the step of storing a standard waveform complex.
17. A method as defined by claim 16, including the step of recognizing a significant change in the stored standard complex and generating a new standard complex if a significant change has occurred.
18. A method as defined by claim 16, including the steps of comparing peaks of subsequent complexes with peaks of a stored standard complex, aligning subsequent complexes with a stored standard complex, and providing a score associated with the comparisons and alignment.
19. A method as defined by claim 16, including the steps of comparing subsequent complexes with a stored standard complex, said comparison steps including the step of aligning major peaks of said complexes and providing a score associated with the comparison.
20. A method as defined by claim 19, in which said score has values that are indicative of the similarity or dissimilarity of the compared peaks.
21. A method as defined by claim 19, in which said score has values that are indicative of the nature of the compared peaks.
22. A method of comparing a digitized subject electrogram complex with a digitized standard electrogram complex to generate a score which is a measure of their similarity or dissimilarity, each complex having a plurality of peaks with each peak being characterized by an amplitude, width and polarity, said method comprising the steps of:
determining, for each complex, the amplitude, width and polarity of each peak;
aligning said subject complex with said standaard complex;
initializing said score;
comparing the amplitude, width and polarity of peaks within said subject complex with corresponding peaks within said standard complex; and increasing or decreasing said score in a manner weighted as a function of whether the amplitude of either of the compared peaks exceeds a predetermined threshold.
23. A method of comparing a digitized subject electrogram complex with a digitized standard electrogram complex to generate a score which is a measure of their similarity or dissimilarity, each complex having a plurality of peaks with each peak being characterized by an amplitude, width and polarity, said method comprising the steps of:
determining, for each complex, the amplitude, width and polarity of each peak having an amplitude greater than a predetermined lower threshold;

Claim 23 - cont'd ...

aligning said subject complex with said standard complex;
defining those peaks having an amplitude above a predetermined upper threshold as Upeaks;
determining for each peak in said subject complex if there is a corresponding peak in said standarad complex and subtracting from said score a relatively greater amount if there is no corresponding peak and said subject peak is an Upeak and a relatively lesser amount if there is no corresponding peak and said subject peak is not an Upeak;
determining for each peak in said standard complex if there is a corresponding peak in said subject complex and subtracting from said score a relatively greater amount if there is no corresponding peak and said standard peak is an Upeak and a relatively lesser amount if there is no corresponding peak and said standard peak is not an Upeak;
for each remaining pair of corresponding peaks, determining if said subject complex peak has the same polarity as said standard complex peak and if said peaks have a different polarity subtracting a relatively greater amount from said score if either peak is an Upeak and a relatively lesser amount if neither peak is an Upeak; and for each remaining pair of corresponding peaks having the same polarity, determining if both the amplitude and width of each subject complex peak is Claim 23 - cont'd ...

within a predetermined error of the amplitude and width of said corresponding standard complex peak and if the amplitude and width are within said predetermined error, adding a relatively greater amount to said score if said standard complex peak is an Upeak and if not, adding a relatively lesser amount to said score; and if either of the amplitude or width is not within said predetermined error, subtracting a relatively greater amount if either of said peaks is an Upeak and a relatively lesser amount if neither of said peaks is an Upeak.
CA002061472A 1991-03-25 1992-02-19 Medical device with morphology discrimination Expired - Fee Related CA2061472C (en)

Applications Claiming Priority (2)

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US674,116 1991-03-25
US07/674,116 US5240009A (en) 1991-03-25 1991-03-25 Medical device with morphology discrimination

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Families Citing this family (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5311874A (en) * 1992-05-18 1994-05-17 Cardiac Pacemakers, Inc. Method for tachycardia discrimination
US5400795A (en) * 1993-10-22 1995-03-28 Telectronics Pacing Systems, Inc. Method of classifying heart rhythms by analyzing several morphology defining metrics derived for a patient's QRS complex
US5456261A (en) * 1993-12-16 1995-10-10 Marquette Electronics, Inc. Cardiac monitoring and diagnostic system
US5464435A (en) * 1994-02-03 1995-11-07 Medtronic, Inc. Parallel processors in implantable medical device
US5474079A (en) * 1994-03-02 1995-12-12 Marquette Electronics, Inc. Signal acquisition method
FI102132B (en) * 1995-12-01 1998-10-15 Nokia Mobile Phones Ltd Use of the ATM cell's title field in radio-mediated ATM communication
DE19638738B4 (en) * 1996-09-10 2006-10-05 Bundesrepublik Deutschland, vertr. d. d. Bundesministerium für Wirtschaft und Technologie, dieses vertr. d. d. Präsidenten der Physikalisch-Technischen Bundesanstalt Method for obtaining a diagnostic statement from signals and data of medical sensor systems
US5720295A (en) * 1996-10-15 1998-02-24 Pacesetter, Inc. Pacemaker with improved detection of atrial fibrillation
US5779645A (en) * 1996-12-17 1998-07-14 Pacesetter, Inc. System and method for waveform morphology comparison
US5794624A (en) * 1997-01-31 1998-08-18 Hewlett-Packard Company Method and system for the fast determination of EKG waveform morphology
US5817133A (en) * 1997-03-04 1998-10-06 Medtronic, Inc. Pacemaker with morphological filtering of sensed cardiac signals
US5978707A (en) 1997-04-30 1999-11-02 Cardiac Pacemakers, Inc. Apparatus and method for treating ventricular tachyarrhythmias
US5871507A (en) * 1997-06-06 1999-02-16 Pacesetter Ab Implantable cardiac assist device having differential signal detection between unipolar atrial and ventricular leads using signal morphology analysis
DE19752094C1 (en) 1997-11-25 1999-07-15 Bundesrep Deutschland Method for determining at least one piece of diagnostic information from signal patterns of medical sensor systems
US6275732B1 (en) 1998-06-17 2001-08-14 Cardiac Pacemakers, Inc. Multiple stage morphology-based system detecting ventricular tachycardia and supraventricular tachycardia
US6308095B1 (en) 1999-02-12 2001-10-23 Cardiac Pacemakers, Inc. System and method for arrhythmia discrimination
US6266554B1 (en) 1999-02-12 2001-07-24 Cardiac Pacemakers, Inc. System and method for classifying cardiac complexes
US6312388B1 (en) * 1999-03-12 2001-11-06 Cardiac Pacemakers, Inc. Method and system for verifying the integrity of normal sinus rhythm templates
US6223078B1 (en) * 1999-03-12 2001-04-24 Cardiac Pacemakers, Inc. Discrimination of supraventricular tachycardia and ventricular tachycardia events
US7203535B1 (en) 1999-04-01 2007-04-10 Cardiac Pacemakers, Inc. System and method for classifying tachycardia arrhythmias having 1:1 atrial-to-ventricular rhythms
US6179865B1 (en) * 1999-04-01 2001-01-30 Cardiac Pacemakers, Inc. Cross chamber interval correlation
US6449503B1 (en) * 1999-07-14 2002-09-10 Cardiac Pacemakers, Inc. Classification of supraventricular and ventricular cardiac rhythms using cross channel timing algorithm
US6493579B1 (en) 1999-08-20 2002-12-10 Cardiac Pacemakers, Inc. System and method for detection enhancement programming
US6684100B1 (en) 2000-10-31 2004-01-27 Cardiac Pacemakers, Inc. Curvature based method for selecting features from an electrophysiologic signals for purpose of complex identification and classification
US6978177B1 (en) * 2000-11-14 2005-12-20 Cardiac Pacemakers, Inc. Method and apparatus for using atrial discrimination algorithms to determine optimal pacing therapy and therapy timing
US6745068B2 (en) * 2000-11-28 2004-06-01 Medtronic, Inc. Automated template generation algorithm for implantable device
US7062315B2 (en) 2000-11-28 2006-06-13 Medtronic, Inc. Automated template generation algorithm for implantable device
US7640054B2 (en) 2001-04-25 2009-12-29 Medtronic, Inc. Automated template generation algorithm for implantable device
SE0101901D0 (en) * 2001-05-29 2001-05-29 St Jude Medical A cardiac stimulating device comprising a morphology sensitive heart signal detector
US6526313B2 (en) * 2001-06-05 2003-02-25 Cardiac Pacemakers, Inc. System and method for classifying cardiac depolarization complexes with multi-dimensional correlation
DE10159461B4 (en) * 2001-12-04 2005-03-03 Preh Gmbh Device for holding containers, in particular beverage containers
US6950702B2 (en) * 2002-07-15 2005-09-27 Cardiac Pacemakers, Inc. Use of curvature based features for beat detection
US7031764B2 (en) * 2002-11-08 2006-04-18 Cardiac Pacemakers, Inc. Cardiac rhythm management systems and methods using multiple morphology templates for discriminating between rhythms
US7130677B2 (en) * 2002-12-04 2006-10-31 Medtronic, Inc. Methods and apparatus for discriminating polymorphic tachyarrhythmias from monomorphic tachyarrhythmias facilitating detection of fibrillation
US7103405B2 (en) * 2002-12-04 2006-09-05 Medtronic, Inc. Methods and apparatus for discriminating polymorphic tachyarrhythmias from monomorphic tachyarrhythmias facilitating detection of fibrillation
US7076289B2 (en) * 2002-12-04 2006-07-11 Medtronic, Inc. Methods and apparatus for discriminating polymorphic tachyarrhythmias from monomorphic tachyarrhythmias facilitating detection of fibrillation
WO2004055165A2 (en) * 2002-12-13 2004-07-01 St. Jude Children's Research Hospital Glutathione-s-transferase test for susceptibility to parkinson's
US7103404B2 (en) * 2003-02-27 2006-09-05 Medtronic,Inc. Detection of tachyarrhythmia termination
US7120491B1 (en) 2003-03-12 2006-10-10 Pacesetter, Inc. Implantable cardioversion device with a self-adjusting threshold for therapy selection
US7328066B1 (en) 2003-03-28 2008-02-05 Pacesetter, Inc. Implantable cardiac stimulation device, system and method that identifies and prevents impending arrhythmias of the atria
PL1617770T3 (en) * 2003-04-22 2013-05-31 Patrick Leahy A device for use in surgery
US7500955B2 (en) 2003-06-27 2009-03-10 Cardiac Pacemaker, Inc. Signal compression based on curvature parameters
US7792571B2 (en) 2003-06-27 2010-09-07 Cardiac Pacemakers, Inc. Tachyarrhythmia detection and discrimination based on curvature parameters
SE0301980D0 (en) * 2003-07-03 2003-07-03 St Jude Medical Implantable medical device
US8332022B2 (en) * 2003-08-29 2012-12-11 Medtronic, Inc. Methods and apparatus for discriminating polymorphic tachyarrhythmias from monomorphic tachyarrhythmias facilitating detection of fibrillation
US7252090B2 (en) * 2003-09-15 2007-08-07 Medtronic, Inc. Selection of neurostimulator parameter configurations using neural network
US7617002B2 (en) * 2003-09-15 2009-11-10 Medtronic, Inc. Selection of neurostimulator parameter configurations using decision trees
US7239926B2 (en) * 2003-09-15 2007-07-03 Medtronic, Inc. Selection of neurostimulator parameter configurations using genetic algorithms
US7184837B2 (en) * 2003-09-15 2007-02-27 Medtronic, Inc. Selection of neurostimulator parameter configurations using bayesian networks
US7149569B1 (en) 2003-12-15 2006-12-12 Pacesetter, Inc. Apparatus and method for improved morphology discrimination in an implantable cardioverter defibrillator
US7277754B2 (en) * 2003-12-24 2007-10-02 Cardiac Pacemakers, Inc. Method and system for removing pacing artifacts from subcutaneous electrocardiograms
US7515956B2 (en) 2004-05-12 2009-04-07 Cardiac Pacemakers, Inc. Template based AV/VA interval comparison for the discrimination of cardiac arrhythmias
US7277747B2 (en) 2004-11-23 2007-10-02 Cardiac Pacemakers, Inc. Arrhythmia memory for tachyarrhythmia discrimination
US7212849B2 (en) 2004-10-28 2007-05-01 Cardiac Pacemakers, Inc. Methods and apparatuses for arrhythmia detection and classification using wireless ECG
US7430446B2 (en) 2005-01-20 2008-09-30 Cardiac Pacemakers, Inc. Methods and apparatuses for cardiac arrhythmia classification using morphology stability
US9314210B2 (en) * 2005-06-13 2016-04-19 Cardiac Pacemakers, Inc. Method and apparatus for rate-dependent morphology-based cardiac arrhythmia classification
US7582061B2 (en) * 2005-12-22 2009-09-01 Cardiac Pacemakers, Inc. Method and apparatus for morphology-based arrhythmia classification using cardiac and other physiological signals
US7715920B2 (en) 2006-04-28 2010-05-11 Medtronic, Inc. Tree-based electrical stimulator programming
US8380300B2 (en) * 2006-04-28 2013-02-19 Medtronic, Inc. Efficacy visualization
US8306624B2 (en) 2006-04-28 2012-11-06 Medtronic, Inc. Patient-individualized efficacy rating
US8442631B2 (en) 2007-05-08 2013-05-14 Cardiac Pacemakers, Inc. System and method for determining the origin of a sensed beat
US8224443B2 (en) * 2007-05-08 2012-07-17 Cardiac Pacemakers, Inc. Method for controlling pacemaker therapy
JP5562260B2 (en) 2008-03-07 2014-07-30 キャメロン ヘルス、 インコーポレイテッド Method and apparatus for accurately classifying cardiac activity
EP2268358B1 (en) 2008-03-07 2013-05-22 Cameron Health, Inc. Accurate cardiac event detection in an implantable cardiac stimulus device
EP2455132B1 (en) 2008-05-07 2013-06-26 Cameron Health, Inc. Devices for accurately classifying cardiac activity
US8165675B2 (en) * 2009-10-29 2012-04-24 Pacesetter, Inc. Systems and methods for use with an implantable medical device for discriminating VT and SVT based on ventricular depolarization event timing
US8271081B2 (en) 2010-05-12 2012-09-18 Pacesetter, Inc. Systems and methods for use with an implantable medical device for discriminating VT and SVT be selectively adjusting atrial channel sensing parameters
US8374691B2 (en) 2011-01-10 2013-02-12 Pacesetter, Inc. Methods and systems for determining if an arrhythmia initiated in an atrium or a ventricle
US9220434B2 (en) 2012-08-16 2015-12-29 Pacesetter, Inc. Systems and methods for selectively updating cardiac morphology discrimination templates for use with implantable medical devices
US8983586B2 (en) 2013-03-14 2015-03-17 Medtronic, Inc. Beat-morphology matching scheme for cardiac sensing and event detection
US8825145B1 (en) 2013-03-14 2014-09-02 Medtronic, Inc. Beat-morphology matching scheme for cardiac sensing and event detection
US10449361B2 (en) 2014-01-10 2019-10-22 Cardiac Pacemakers, Inc. Systems and methods for treating cardiac arrhythmias
WO2015106015A1 (en) 2014-01-10 2015-07-16 Cardiac Pacemakers, Inc. Systems and methods for detecting cardiac arrhythmias
US10463866B2 (en) 2014-07-11 2019-11-05 Cardiac Pacemakers, Inc. Systems and methods for treating cardiac arrhythmias
US9554714B2 (en) 2014-08-14 2017-01-31 Cameron Health Inc. Use of detection profiles in an implantable medical device
JP6510660B2 (en) 2015-02-06 2019-05-08 カーディアック ペースメイカーズ, インコーポレイテッド System and method for treating cardiac arrhythmias
US10758737B2 (en) 2016-09-21 2020-09-01 Cardiac Pacemakers, Inc. Using sensor data from an intracardially implanted medical device to influence operation of an extracardially implantable cardioverter
JP6708755B2 (en) * 2017-01-13 2020-06-10 Kddi株式会社 Information processing method, information processing apparatus, and computer-readable storage medium
US10555684B2 (en) 2017-04-25 2020-02-11 Medtronic, Inc. Supraventricular tachyarrhythmia discrimination
EP3723846B1 (en) 2017-12-15 2022-03-02 Medtronic, Inc. Supraventricular tachyarrhythmia discrimination

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3267934A (en) * 1962-09-20 1966-08-23 Avionics Res Products Corp Electrocardiac computer
US3524442A (en) * 1967-12-01 1970-08-18 Hewlett Packard Co Arrhythmia detector and method
DE2019708B2 (en) * 1970-04-23 1973-08-23 Eduard Küsters Maschinenfabrik, 4150Krefeld SQUEEGEE
DE2217235C3 (en) * 1972-04-11 1983-11-03 Hellige Gmbh, 7800 Freiburg Device for monitoring the cardiac activity of a patient by determining and comparing shape criteria of the cardiac action signal
GB1443705A (en) * 1972-12-15 1976-07-21 Int Research & Dev Co Ltd Rock drills
UST925003I4 (en) * 1973-06-29 1974-08-06 From vt
US3978856A (en) * 1975-03-20 1976-09-07 Michel Walter A Heart beat waveform monitoring apparatus
US4073011A (en) * 1976-08-25 1978-02-07 Del Mar Avionics Electrocardiographic computer
US4193393A (en) * 1977-08-25 1980-03-18 International Bio-Medical Industries Diagnostic apparatus
US4170992A (en) * 1978-01-05 1979-10-16 Hewlett-Packard Company Fiducial point location
US4492235A (en) * 1982-02-11 1985-01-08 Arrhythmia Research Technology, Inc. System and method for predicting ventricular tachycardia by derivative analysis
US4458691A (en) * 1982-02-11 1984-07-10 Arrhythmia Research Technology, Inc. System and method for predicting ventricular tachycardia by adaptive high pass filter
DE3303104A1 (en) * 1983-01-31 1984-08-02 Belorusskij naučno-issledovatel'skij institut kardiologii, Minsk Device for monitoring cardiac action
US4552154A (en) * 1984-03-12 1985-11-12 Medtronic, Inc. Waveform morphology discriminator and method
US4680708A (en) * 1984-03-20 1987-07-14 Washington University Method and apparatus for analyzing electrocardiographic signals
US4754762A (en) * 1985-08-13 1988-07-05 Stuchl Ronald J EKG monitoring system
US4905708A (en) * 1985-10-31 1990-03-06 Davies David W Apparatus for recognizing cardiac rhythms
US4721114A (en) * 1986-02-21 1988-01-26 Cardiac Pacemakers, Inc. Method of detecting P-waves in ECG recordings
US4825869A (en) * 1987-09-28 1989-05-02 Telectronics N.V. System for automatically performing a clinical assessment of an implanted pacer based on information that is telemetrically received
US4893632A (en) * 1988-04-13 1990-01-16 Siemens Aktiengesellschaft Method and apparatus for comparing waveform shapes of time-varying signals
US4977899A (en) * 1989-03-10 1990-12-18 Instromedix, Inc. Heart data monitoring method and apparatus
US5014701A (en) * 1989-05-19 1991-05-14 Ventritex, Inc. Implantable cardiac defibrillator employing a digital waveform analyzer system
US5086772A (en) * 1990-07-30 1992-02-11 Telectronics Pacing Systems, Inc. Arrhythmia control system employing arrhythmia recognition algorithm

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CA2061472A1 (en) 1992-09-26
US5240009A (en) 1993-08-31
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