Adaptive event storage in implantable device

• US 8,649,860 B2
• Filed: 05/17/2010
• Issued: 02/11/2014
• Est. Priority Date: 05/27/2009
• Status: Expired due to Fees

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Dong, Yanting, Perschbacher, David L., Stahmann, Jeffrey E., Li, Dan, Mahajan, Deepa
• Primary Examiner(s): Layno, Carl H
• Assistant Examiner(s): Morales, Jon Eric C
• Application Number:
  US12/781,459
• Publication Number:
  US 20100305642A1
• Time in Patent Office: 1,366 Days
• Field of Search: 607/5, 607/14, 600/518, 600/481
• US Class Current: 607/5
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/6846 specially adapted to be brought in contact with an internal body part, i.e. invasive
• CPC Class Codes: A61N 1/025 Digital circuitry features of electrotherapy devices, e.g. memory, clocks, processors
• CPC Class Codes: A61N 1/3621 for treating or preventing abnormally high heart rate
• CPC Class Codes: A61N 1/3702 Physiological parameters A61N1/365 takes precedence; evoked response A61N1/371
• CPC Class Codes: A61N 1/372 Arrangements in connection with the implantation of stimulators
• CPC Class Codes: A61N 1/37252 Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data
• CPC Class Codes: A61N 1/3925 Monitoring; Protecting

Abstract

Monitoring physiological parameter using an implantable physiological monitor in order to detect a condition predictive of a possible future pathological episode and collecting additional physiological data associated with the condition predictive of a possible future pathological episode. Monitoring another physiological parameter in order to detect a condition indicative of the beginning of a present pathological episode and collecting additional pathological data in response to the condition. Determining that the condition predictive of a future episode and the condition indicative of a present episode are associated and, in response thereto, storing all the collected physiological data.

Claims

1. A system comprising:

an implantable physiological data monitor, configured to monitor one or more physiological data parameters;

a processor, coupled to the implantable physiological data monitor, the processor configured to,

detect an episode predictor condition using a first physiological data parameter monitored by the implantable physiological data monitor, wherein the episode predictor condition is predictive of a possible future pathological episode; and

detect an episode beginning condition using a second physiological data parameter monitored by the implantable physiological data monitor, wherein the episode beginning condition is indicative of beginning of a present pathological episode;

a static memory buffer configured to store a time segment of a third physiological data parameter monitored by the implantable physiological data monitor when triggered by the detection of the episode predictor condition;

a rolling memory buffer used to continually store a fixed segment of a fourth physiological data parameter monitored by the implantable physiological data monitor; and

a memory configured to store data retained in the static memory buffer and the rolling memory buffer, when triggered by the detection of the episode beginning condition by the processor, for later use by the processor or for output to an external device.

2. The system of claim 1, wherein the processor is configured to determine that the episode predictor condition is associated with the present pathological episode and, in response thereto, to associate the data retained in the static memory buffer with the data retained in the rolling memory buffer.

3. The system of claim 2, wherein the processor is configured to determine that the episode predictor condition is associated with the present pathological episode at least in part by determining that the episode predictor condition occurred within a specified time period of the present pathological episode.

4. The system of claim 2, wherein determining that the episode predictor condition is associated with the present pathological episode includes determining that the episode predictor condition substantially persisted for a specified time period until the episode beginning condition was detected.

5. The system of claim 4, wherein determining that the episode predictor condition substantially persisted includes detecting a period of time, between the initial detection of the episode predictor condition and the detection of the episode beginning condition, during which the episode predictor condition is absent.

6. The system of claim 1, wherein the pathological episode is an arrhythmic episode.

7. The system of claim 1, wherein detection of at least one of the episode predictor condition or the episode beginning condition occurs when at least a specified number of consecutive measurements of the physiological data meets a test.

8. The system of claim 1, wherein detection of at least one of the episode predictor condition or the episode beginning condition occurs when a rate of change of the physiological data meets a test in the absence of an indication of physical exertion.

9. The system of claim 1, wherein at least two of the first, second, third, and fourth physiological data represent the same physiological characteristic.

10. The system of claim 1, wherein at least two of the first, second, third, and fourth physiological data represent different physiological characteristics.

11. The system of claim 1, wherein at least the first and second physiological data represent the same physiological characteristic, and

the monitored physiological characteristic includes at least one of heart rate, electrogram morphology, blood pressure, blood gas, blood chemistry, respiration rate, atrial versus ventricular heart rate, heart rate onset, or heart rate stability.

12. The system of claim 1, wherein the implantable physiological data monitor is configured to monitor one or more of:

an electrocardiogram sensor;

a heart rate sensor;

a heart sounds sensor;

a pressure sensor;

a blood gas sensor;

an electroneurogram sensor;

a posture sensor;

a respiratory sensor;

or a chemical sensor.

13. A method comprising:

monitoring first physiological data using an implantable physiological monitor;

using the monitored first physiological data, detecting an episode predictor condition predictive of a possible future pathological episode;

responding to detecting the episode predictor condition by collecting second physiological data associated with the detecting of the episode predictor condition;

monitoring third physiological data using the implantable physiological monitor;

using the monitored third physiological data, detecting an episode beginning condition indicative of a beginning of a present pathological episode;

responding to detecting the episode beginning condition by collecting fourth physiological data associated with the detecting of the episode beginning condition; and

determining that the episode predictor condition is an onset to the present pathological episode and, in response thereto, storing the collected second physiological data in association with the fourth physiological data.

14. The method of claim 13, wherein determining that the episode predictor condition is the onset to the present pathological episode includes determining that the episode predictor condition occurred within a specified time period of the present pathological episode.

15. The method of claim 13, wherein determining that the episode predictor condition is the onset to the present pathological episode includes determining that the episode predictor condition substantially persisted for a specified time period until the episode beginning condition was detected.

16. The method of claim 15, wherein determining that the episode predictor condition substantially persisted includes detecting a period of time, between the initial detection of the episode predictor condition and the detection of the episode beginning condition, during which the episode predictor condition was not present.

17. The method of claim 13, wherein detecting an episode predictor condition includes detecting a condition predictive of a possible future arrhythmic episode.

18. The method of claim 13, wherein detecting that at least one of the episode predictor condition or the episode beginning condition occurs when at least a specified number of consecutive measurements of the physiological data meets a test.

19. The method of claim 13, wherein detecting at least one of the episode predictor condition or the episode beginning condition occurs when a rate of change of the physiological data meets a test in the absence of an indication of physical exertion.

20. The method of claim 13, wherein at least two of the first, second, third, and fourth physiological data represent the same physiological characteristic.

21. The method of claim 13, wherein at least two of the first, second, third, and fourth physiological data represent a different physiological characteristic.

22. The method of claim 13, wherein at least the first and third physiological data represent the same physiological characteristic, and

the monitored physiological characteristic includes at least one of heart rate, electrogram morphology, blood pressure, respiration rate, atrial versus ventricular heart rate, heart rate onset or heart rate stability.