Adaptive data storage and download in a medical device

• US 8,849,682 B2
• Filed: 09/22/2010
• Issued: 09/30/2014
• Est. Priority Date: 10/05/2009
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Mahajan, Deepa, Dong, Yanting, Perschbacher, David L.
• Primary Examiner(s): Chng, Joy
• Application Number:
  US12/887,852
• Publication Number:
  US 20110082377A1
• Time in Patent Office: 1,469 Days
• Field of Search: 705 2- 3
• US Class Current: 705/3
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/335 using integrated circuit memory devices
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• 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 1/37252 Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data
• CPC Class Codes: A61N 1/39622 Pacing therapy

Abstract

In an example, a medical device includes a physiological data monitor (PDM), a memory, and a processor. The PDM is configured to monitor a physiological data parameter. The memory circuit is configured to store data collected by the PDM. The processor is configured to detect a data capture event and capture a first segment of physiological data associated with the data capture event. The processor is also configured to determine an amount of memory storage space available and determine a first priority level for the first segment of physiological data. The processor is further configured to determine a second priority level for a second segment of physiological data stored previously and select a processing scheme using the first and second priority levels. Finally, the processor is configured to process, using the processing scheme, the first and second segments of physiological data and store the first segment of physiological data.

Claims

1. A system for adaptively managing physiological data within a medical device, the system comprising:

a medical device, the device comprising;

a physiological data monitor to monitor a physiological data parameter;

a memory circuit to store data collected by the physiological data monitor;

a processor circuit, coupled to the physiological data monitor and the memory circuit, the processor configured to,

detect a pathological episode using the monitored physiological data parameter;

classify the pathological episode as one of a plurality of specified episode types;

capture, from the physiological data monitor, a segment of physiological data associated with the pathological episode;

select, in response to the classification of the pathological episode and using the classified episode type, a compression technique from a plurality of compression techniques to process the captured segment of physiological data;

process the captured physiological data using the selected compression technique to produce a processed segment of physiological data; and

store the processed segment of physiological data in the memory circuit for later use.

2. The system of claim 1, wherein the processor is configured to:

determine an amount of remaining storage space available within the memory circuit; and

select a compression technique, from a plurality of compression techniques using the amount of remaining storage space available within the memory circuit.

3. The system of claim 1, wherein the processor is configured to:

determine a device response to the pathological episode; and

select a compression technique from a plurality of compression techniques using the determined device response to the pathological episode.

4. The system of claim 3, wherein the processor is configured to select the compression technique from a plurality of compression techniques using a result of evaluating a specified relationship between the device response and the episode type.

5. The system of claim 4, wherein the processor is configured to receive the specified relationship between the device response and the episode type from an external source.

6. The system of claim 1, wherein the processor is configured to:

characterize a detected heart rate using a comparison of atrial versus ventricular rates to produce an AV comparison; and

select the compression technique from the plurality of compression techniques using the AV comparison.

7. The system of claim 6, wherein the processor is configured to:

determine a device response to the pathological episode; and

select a compression technique from a plurality of compression techniques using the determined device response to the pathological episode and the AV comparison.

8. The system of claim 1, including an external data storage and communication device to receive physiological data stored in the memory circuit;

and

wherein the processor is configured to;

initiate, based on detecting a low memory circuit space condition, a communication link to the external data storage and communication device; and

transmit a portion of the physiological data stored in the memory circuit.

9. The system of claim 8, wherein the processor is configured to transmit a portion of the physiological data stored in the memory circuit by transmitting the oldest data to the external data storage and communication device first.

10. The system of claim 1, wherein the processor is configured to determine a priority level for the segment of physiological data using the determined episode type.

11. The system of claim 10, wherein the processor is configured to select the compression technique using the determined priority level for the segment of physiological data.

12. A method for adaptively managing physiological data within a medical device, the method comprising:

monitoring a physiological data parameter;

detecting a pathological episode using the monitored physiological data parameter;

classifying the pathological episode as one of a plurality of specified episode types;

capturing a segment of physiological data associated with the pathological episode;

selecting, in response to the classification of the pathological episode and using the classified episode type, a compression technique from a plurality of compression techniques to process the captured segment of physiological data;

processing the captured physiological data using the selected compression technique to produce a processed segment of physiological data; and

storing the processed segment of physiological data for later use.

13. The method of claim 12, wherein the selecting the compression technique further includes determining an amount of remaining storage space available within the medical device and using the amount of remaining storage space to select the compression technique.

14. The method of claim 12, further comprising determining a device response to the pathological episode;

and

wherein the selecting the compression technique uses the device response to the pathological episode.

15. The method of claim 14, wherein the selecting the compression technique includes:

selecting a first compression technique when the device response includes delivering shock;

selecting a second compression technique when the device response includes anti-tachycardia pacing;

selecting a third compression technique when the device response includes diverting a therapy; and

wherein the first compression technique provides less compression than the second compression technique and the second compression technique provides less compression than the third compression technique.

16. The method of claim 14, wherein the selecting the compression technique includes using a result of evaluating a specified relationship between the device response and the episode type.

17. The method of claim 16, wherein the selecting the compression technique includes receiving the specified relationship between the device response and the episode type from an external source.

18. The method of claim 12, wherein the selecting the compression technique includes characterizing a detected heart rate using a comparison of atrial versus ventricular rate to produce an AV comparison;

and

using the AV comparison to select the compression technique from the plurality of compression techniques.

19. The method of claim 18, wherein the selecting the compression technique includes determining a device response to the pathological episode;

and

wherein the selecting the compression technique includes using the device response to the pathological episode and the AV comparison.

20. The method of claim 12, wherein the storing the processed segment of physiological data includes:

initiating, based on detecting a low memory circuit space condition, a communication link to an external data storage and communication device; and

transmitting a portion of the physiological data stored in the memory circuit.

21. The method of claim 20, wherein the transmitting the portion of the physiological data stored in the memory circuit transmits the oldest data to the external data storage and communication device first.