SELECTION OF OPTIMAL ACCELEROMETER SENSING AXIS FOR RATE RESPONSE IN LEADLESS PACEMAKER

• US 20150217119A1
• Filed: 02/06/2014
• Published: 08/06/2015
• Est. Priority Date: 02/06/2014
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Nikolski, Vladimir P., Sheldon, Todd J.
• Granted Patent: US 9,814,887 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61N 1/36535 controlled by body position or posture
• CPC Class Codes: A61N 1/36542 controlled by body motion, e.g. acceleration
• CPC Class Codes: A61N 1/3756 Casings with electrodes thereon, e.g. leadless stimulators

Abstract

A medical device and associated method record signals from each real axis of a multi-axis sensor. An optimal axis for monitoring a physiological signal of the patient is identified from the real axes of the multi-axis sensor and multiple virtual axes. Coordinates defining the optimal axis are stored as respective weighting factors of the signals from each real axis of the multi-axis sensor. A metric of the physiological signal is determined using the multi-axis sensor signals and the weighting factors.

Claims

1. A method for automatically monitoring a patient, comprising:

receiving signals from each real axis of a multi-axis sensor;

generating from the real axis signals a virtual signal for each of a plurality of virtual axes of the multi-axis sensor;

identifying by a processor an optimal signal axis from the real axes and the plurality of virtual axes for monitoring a physiological signal of the patient;

storing a set of coordinates defining the optimal axis as respective weighting factors of the signals received from each real axis of the multi-axis sensor; and

monitoring the physiological signal of the patient by determining a metric of the signal using the multi-axis sensor signals and the stored weighting factors.

2. The method of claim 1, wherein the multi-axis sensor is an accelerometer and further comprising:

computing by the processor an activity metric for each real axis of the accelerometer and for the plurality of virtual axes of the accelerometer; and

identifying the optimal axis by a comparative analysis of the activity metrics.

3. The method of claim 2, wherein the activity metrics are determined for each real axis and for each of the plurality of virtual axes during at least two different activity states of the patient.

4. The method of claim 3, wherein the comparative analysis comprises determining at least one of a difference, a ratio and a slope between the activity metrics for the at least two different activity states for each of the real axes and the plurality of virtual axes.

5. The method of claim 1, wherein identifying the optimal axis comprises identifying an axis producing a lowest variation during a resting state of the patient.

6. The method of claim 1, further comprising:

sensing a posture signal;

identifying by the processor an optimal axis from the real axes and the plurality of virtual axes for monitoring the physiological condition of the patient during the sensed posture signal; and

storing the posture signal and a set of coordinates defining the optimal axis as respective weighting factors to be applied to the signals received from each real axis of the multi-axis sensor when the posture signal is detected.

7. The method of claim 6, further comprising:

monitoring a current posture signal;

detecting a change from the current posture signal; and

selecting different weighting factors to be applied to the signals received from each real axis of the multi-axis accelerometer in response to detecting the change.

8. The method of claim 1, wherein generating the virtual signal for each of a plurality of virtual axes of the multi-axis sensor comprises determining coordinates for the plurality of virtual axes that are uniformly distributed along a sphere.

9. The method of claim 1, further comprising controlling a rate of delivering a therapy to the patient in response to the metric.

10. The method of claim 9, further comprising:

producing a first patient position signal from the real axis signals in response to the metric;

detecting a change from the first patient position signal; and

limiting an increase in the therapy rate caused by the metric in response to detecting the change from the first patient position signal.

11. An implantable medical device, comprising:

a multi-axis sensor having at least two real axes; and

a processor configured to;

receive signals from each real axis of the multi-axis sensor;

generate from the real axis signals a virtual signal for each of a plurality of virtual axes of the multi-axis sensor;

identify an optimal axis from the real axes and the plurality of virtual axes for monitoring a physiological signal of the patient;

store coordinates defining the optimal axis as respective weighting factors of the signals from each axis of the multi-axis sensor; and

determine a metric of the physiological signal of the patient using the multi-axis sensor signals and the weighting factors.

12. The device of claim 11, wherein the multi-axis sensor is a multi-axis accelerometer and the processor is further configured to:

compute an activity metric for each axis of the accelerometer and for the plurality of virtual axes of the accelerometer; and

identify the optimal axis by a comparative analysis of the activity metrics.

13. The device of claim 12, wherein the activity metrics are determined for each axis and for each virtual axis during at least two different activity states of the patient.

14. The device of claim 13, wherein the comparative analysis comprises determining at least one of a difference, a ratio and a slope between the activity metrics for the at least two different activity states for each of the accelerometer axes and the virtual axes.

15. The device of claim 11, wherein identifying the optimal axis comprises identifying an axis producing a lowest variation during a resting state of the patient.

16. The device of claim 11, wherein the processor is further configured to:

receive a posture signal;

identify by the processor an optimal axis from the real axes and the plurality of virtual axes for monitoring the physiological signal of the patient during the sensed posture signal; and

store the posture signal and a set of coordinates defining the optimal axis as respective weighting factors to be applied to the signals received from each real axis of the multi-axis sensor when the posture signal is detected.

17. The device of claim 16, wherein the processor is further configured to:

monitor a current posture signal;

detect a change from the current posture signal; and

select different weighting factors to be applied to the signals received from each real axis of the multi-axis accelerometer in response to detecting the change.

18. The device of claim 11, wherein generating the virtual signal for each of a plurality of virtual axes of the multi-axis sensor comprises determining coordinates for the plurality of virtual axes that are uniformly distributed along a sphere.

19. The device of claim 11, further comprising:

a therapy delivery module controlled by the processor,

the processor further configured to control the rate of delivering a therapy to the patient by the therapy delivery module in response to the metric.

20. The device of claim 19, wherein the processor is further configured to:

produce a first patient position signal from the real axis signals in response to the metric;

detect a change from the first patient position signal; and

limit an increase in the therapy rate caused by the metric in response to detecting the change from the first patient position signal.

21. A non-transitory computer readable storage medium storing a set of instructions that cause a processor of an implantable medical device comprising a multi-axis sensor to:

receive signals from each real axis of the multi-axis sensor;

generate from the real axis signals a virtual signal for each of a plurality of virtual axes of the multi-axis sensor;

identify an optimal axis for monitoring a physiological signal of the patient from the real axes of the multi-axis sensor and the plurality of virtual axes;

store coordinates defining the optimal axis as respective weighting factors of the signals from each real axis of the multi-axis sensor; and

determine a metric of the physiological signal using the multi-axis sensor signals and the weighting factors.