AUTOMATED DEVICE PROGRAMMING AT CHANGEOUT

• US 20080004500A1
• Filed: 06/29/2006
• Published: 01/03/2008
• Est. Priority Date: 06/29/2006
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Kwok, Jonathan, Li, Dan, Cazares, Shelley
• Granted Patent: US 7,783,356 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61N 1/37235 Aspects of the external programmer
• CPC Class Codes: A61N 1/37252 Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data

Abstract

This document discusses, among other things, methods and systems for facilitating automated device programming at changeout. A method comprises receiving, from a first device, physiological data at a temporary storage device; and processing the received physiological data, wherein the processing includes determining if a first signal processing function was used by the first device and substantially offsetting the first signal processing function if the first signal processing function was used by the first device; and processing the resultant physiological data to be compatible with a second device. The method further comprising providing the processed resultant physiological data to the second device.

Claims

1. A machine-assisted method comprising:

receiving, from a first device, physiological data at a temporary storage device; and

processing the received physiological data, wherein the processing includes determining if a first signal processing function was used by the first device and substantially offsetting the first signal processing function if the first signal processing function was used by the first device; and

processing the resultant physiological data to be compatible with a second device

2. The method of claim 1, comprising providing the processed resultant physiological data to the second device.

3. The method of claim 1, wherein processing the received physiological data comprises applying a second signal processing function to the received physiological data, wherein the second signal processing function is at least approximately an inverse of the first signal processing function.

4. The method of claim 3, wherein the second signal processing function is calculated using population data.

5. The method of claim 3, wherein the second signal processing function is calculated to minimize one or more of a mean squared error, a minimum phase shift, a minimum dominant frequency component deterioration, a reserved signal-to-noise ratio, or a high cross-correlation between sensed physiological data and the resultant physiological data.

6. The method of claim 3, wherein one or more of the first and second signal processing functions include one or more of a frequency-selective function, an upsampling function, a downsampling function, a re-sampling function, a filtering function, an amplifying function, an attenuating function, an averaging function, a function to calculate the median, mode, standard deviation or quartiles, a function to build a histogram, a function to estimate a probability distribution function or cumulative distribution function, or a compressing function.

7. The method of claim 3, wherein the applying the second signal processing function includes applying the second signal processing function in a time domain.

8. The method of claim 3, wherein the applying the second signal processing function includes applying the second signal processing function in a frequency domain.

9. The method of claim 1, wherein the processing the resultant physiological data comprises:

determining a third signal processing function associated with the second device; and

applying the third signal processing function to the physiological data.

10. The method of claim 9, wherein the second signal processing function is applied before the third signal processing function.

11. The method of claim 9, wherein the third signal processing function includes one or more of a frequency-selective function, an upsampling function, a downsampling function, a re-sampling function, a filtering function, an amplifying function, an attenuating function, an averaging function, a function to calculate the median, mode, standard deviation or quartiles, a function to build a histogram, a function to estimate a probability distribution function or cumulative distribution function, or a compressing function.

12. The method of claim 9, comprising providing the processed physiological data to the second device.

13. The method of claim 1, wherein the second device includes an implantable medical device, an external patient monitor, or a data storage device.

14. The method of claim 1, comprising:

receiving, at the temporary storage device, device settings associated with the first device;

configuring the device settings to be compatible with a second device; and

providing the configured device settings to the second device.

15. The method of claim 1, wherein the first device includes an implanted medical device, an external patient monitor, or a data storage device.

16. A machine-assisted method comprising:

receiving, at a temporary storage device, physiological data from a first implantable medical device, wherein the physiological data includes electrocardiogram data obtained by the first implantable medical device using a first signal processing function;

applying a second signal processing function to the physiological data, wherein the second signal processing function substantially reverses the first signal processing function; and

applying a third signal processing function to the physiological data, wherein the third signal processing function substantially matches a function associated with a second implantable medical device that is different from the first implantable medical device.

17. The method of claim 16, comprising providing the resulting physiological data, after the applying of the second and third signal processing functions, to the second implantable medical device.

18. The method of claim 16, wherein the second implantable medical device applies the third signal processing function to the physiological data

19. The method of claim 16, comprising:

receiving, at the temporary storage device, information from the first implantable medical device indicative of different first signal processing functions being used in the obtaining the electrocardiogram data during at least different first and second time periods; and

applying different second signal processing functions to the physiological data corresponding to the different first and second time periods.

20. The method of claim 16, wherein the electrocardiogram data is associated with a tachyarrhythmia episode.

21. A machine-assisted method comprising:

receiving, at a temporary storage device, physiological data from a first implantable medical device, wherein the physiological data includes electrocardiogram data obtained by the implantable medical device using a first signal processing function;

applying a second signal processing function to the physiological data, wherein the second signal processing function is substantially inverse to the first signal processing function; and

applying a third signal processing function to the physiological data, wherein the resulting processed physiological data is substantially similar to physiological data processed by a function associated with a second implantable medical device, and wherein the second implantable medical device is different from the first implantable medical device.

22. The method of claim 21, comprising providing resulting physiological data, after the applying of the second and third signal processing functions, to the second device.

23. The method of claim 21, wherein the second implantable medical device applies the third signal processing function to the physiological data.

24. A system comprising:

an external processing device, comprising;

a communications port, adapted to receive physiological data from a first medical device, wherein the physiological data was processed using at least a first signal processing function;

a processor, to process the received physiological data by applying at least a second signal processing function to the received physiological data, wherein the second signal processing function substantially reverses the first signal processing function; and

a memory, to store the received physiological data and the processed physiological data;

wherein the processor is adapted to apply a third signal processing function to the processed physiological data, wherein the third signal processing function is associated with a second medical device that is different from the first medical device; and

wherein the communications port is adapted to provide the processed physiological data, after the applying of the second and third signal processing functions, to the second medical device.

25. The system of claim 24, wherein the external processing device is a handheld device, and wherein the memory comprises nonvolatile memory.

26. The system of claim 25, wherein the communications port includes a USB connector.

27. The system of claim 24, wherein the communications port is adapted to be connected to an external programmer for an implantable medical device, and wherein the first and second medical devices are implantable medical devices.

28. The system of claim 24, wherein the external processing device includes an external programmer for an implantable medical device, and wherein the first and second medical devices are implantable medical devices.

29. The system of claim 24, wherein the communications port is adapted to be connected to an external programmer for an ambulatory medical device, and wherein at least one of the first and second medical devices are ambulatory medical devices.

30. The system of claim 24, wherein the external processing device includes an external programmer for an ambulatory medical device, and wherein at least one of the first and second medical devices are ambulatory medical devices.

31. The system of claim 24, wherein the external processing device includes a remote computing device, communicatively coupled to the first medical device.

32. A machine-assisted method comprising:

receiving, from a first device, physiological data at a temporary storage device;

processing the received physiological data, wherein the processing substantially reverts the physiological data approximately a raw format; and

storing or providing the processed physiological data.

33. The method of claim 32, wherein processing the received physiological data comprises:

determining a first signal processing function used by the first device;

determining a second signal processing function, wherein the second signal processing function is capable of substantially reverting the physiological data to the raw format;

applying the second signal processing function to the physiological data;

determining a third signal processing function, wherein the third signal processing function is capable of converting the physiological data to be compatible with a second device; and

applying the third signal processing function to the physiological data.

34. The method of claim 33, wherein storing or providing the processed physiological data comprises providing the processed physiological data to the second device.

35. A machine-assisted method comprising:

receiving, at a temporary storage device, device settings associated with a first device; and

configuring the device settings to be compatible with a second device.

36. The method of claim 35, comprising providing the configured device settings to the second device.

37. The method of claim 35, wherein the first or second device is an implantable medical device.

38. The method of claim 35, wherein the device settings include one or more of a tachy rate zone, a brady pacing mode, one or more thresholds of tachy discrimination algorithms, a tachy therapy parameter, a morphological template, a brady therapy parameter, one or more thresholds of heart failure decompensation detection algorithms, one or more thresholds of apnea detection algorithms, a patient name, a patient gender, a patient birth date, a patient height, a patient weight, a patient New York Heart Association class, a patient left ventricular ejection fraction, or a physician contact information.