Methodology for automated signal morphology analysis in implantable electrotherapy and diagnostic systems

• US 7,702,383 B2
• Filed: 05/04/2006
• Issued: 04/20/2010
• Est. Priority Date: 05/04/2006
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Sweeney, Robert, Mazar, Scott, Woellenstein, Matthias, Simms, Howard
• Primary Examiner(s): Layno; Carl H
• Assistant Examiner(s): Lee; Yun Haeng
• Application Number:
  US11/381,663
• Publication Number:
  US 20070260149A1
• Time in Patent Office: 1,447 Days
• Field of Search: 600/509, 600/516
• US Class Current: 600/516
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle

Abstract

Systems and related methods for analyzing data sensed from a device implanted in a patient, such as a cardiac pacing system. The system detects and evaluates electric signals within the patient that share a common event marker. By using algorithms and graphical presentation of the collected signals having common event markers, deviations in signals over time can be identified and evaluated in consideration of taking further action related to the patient and the implanted device. The system can also be used in conjunction with an advanced patient management system that includes a programmer or repeater capable of gathering information from the implanted device and transmitting the data to a host via a communications network for evaluation at a remote location.

Claims

1. A method of monitoring electrical activity in a patient, the method comprising:

monitoring electrical signals within the patient using an implanted device;

identifying sense and pace event markers corresponding to sensed and paced events identified by the implanted device;

categorizing into groups time periods of the electrical signals representing a type of event marker; and

comparing the time periods of the electrical signals within at least one of the groups to identify changes over time.

2. The method of claim 1, further comprising reporting the comparison for analysis by a physician.

3. The method of claim 2, wherein reporting the comparison includes reporting the changes over time including occurrences of values of the electrical signal being outside of a predetermined range.

4. The method of claim 1, wherein comparing the time periods includes plotting a plurality of the time periods on a graph.

5. The method of claim 4, comprising automatically evaluating information presented on the graph using the implanted device.

6. The method of claim 4, comprising automatically evaluating information presented on the graph using a device located near the patient.

7. The method of claim 4, comprising automatically evaluating information presented on the graph using a device remote from the patient.

8. The method of claim 1, further comprising analyzing the identified changes over time to determine a recommended action.

9. The method of claim 1, wherein monitoring the electrical signals includes monitoring intra-cardiac electrograms generated by an implanted cardiac rhythm management device.

10. The method of claim 9, wherein the time periods of the electrical signal include waveform data, and comprising identifying threshold deviations in the waveform data over time.

11. The method of claim 1, wherein the electrical signals originate from a signal source selected from the group consisting of a mechanical sensor, a chemical sensor, intrinsic electrical activity generated by the patient'"'"'s body.

12. The method of claim 1, comprising averaging the time periods grouped for a time interval over that time interval to produce an averaged time period, and comparing the averaged time period to average time periods from previous and future occurrences of that time interval.

13. The method of claim 1, wherein comparing the time periods includes presenting analysis information in a chart format.

14. The method of claim 1, comprising monitoring consistent performance of the time periods within a group of the groups.

15. The method of claim 14, comprising providing information about how often inconsistent performance of the time periods within the group occurs.

16. The method of claim 1, comprising further categorizing the groups of the time periods based on heart rate.

17. The method of claim 1, comprising further categorizing the groups of the time periods based on blood pressure.

18. The method of claim 1, wherein the event markers include at least one of an atrial sense marker, a left ventricular sense marker, a right ventricular sense marker, an atrial pace marker, a left ventricular pace marker, and a right ventricular pace marker.