# US 7,610,090 B1 · Implantable medical device with automatic sensing adjustment

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- Number: US 7,610,090 B1
- Document ID: US7610090B1
- Status: Granted
- Kind: B1
- Application number: 11/366,929
- Filed: 2006-03-01
- Granted: 2009-10-27
- Earliest claimed: 2006-03-01
- Assignees: Pacesetter, Inc.
- Inventors: Steve Hofstadter; Christopher Koch; Mark W. Kroll
- Web page: https://patentgrep.com/patent/US7610090B1

## CPC

- A61N 1/3702: {Physiological parameters (A61N1/365 takes precedence; evoked response A61N1/371)}
- A61N 1/3688: {configured for switching the pacing mode, e.g. from AAI to DDD}
- A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B)

## Abstract

An implantable medical device system that senses physiologic processes via multiple sensor signal configurations. The device can further process the sensor configurations to obtain additional processed signal configurations. The device can utilize the processed configurations for ongoing sensing of the physiologic process. The device can also automatically evaluate the multiple sensor configurations as well as the processed configurations and select the configuration offering the best signal discrimination to reduce oversensing or erroneously interpreting secondary characteristics of the physiologic process as corresponding to primary characteristics of the process as in double-counting. The signal discrimination can be evaluated as an absolute margin and/or a ratio between amplitudes of the primary and secondary characteristics. The signal discrimination can also be evaluated based at least in part on a calculated mean and standard deviation according to each configuration.

## Claims

### Claim 1

A method of sensing physiological signals from an implanted medical device with implantable sensors, the method comprising:
sensing a physiological parameter having primary and secondary characteristics with at least a first and second configuration of the implantable sensors;
quantitatively evaluating, using the implanted device the sensing performed under the at least first and second sensor configurations; and
automatically selecting the sensor configuration having a largest discrimination between the primary and secondary characteristics for subsequent sensing of the physiologic parameter;
wherein quantitatively evaluating the sensing comprises calculating means and corresponding standard deviations and the largest discrimination is selected predicatively as the configuration having a largest value of mean minus one standard deviation.

### Claim 2 (depends on 1)

The method of claim 1, further comprising:
deriving at least a third sensing configuration from the at least first and second sensor configurations;
quantitatively evaluating, using the implanted device, sensing performed under the at least third sensing configuration; and
selecting the configuration among the at least first, second, and third configurations that has the largest discrimination between the primary and secondary characteristics.

### Claim 3 (depends on 1)

The method of claim 1, wherein the implantable sensors comprise electrodes and wherein sensing with the first configuration comprises configuring the electrodes in a true bipolar arrangement.

### Claim 4 (depends on 1)

The method of claim 1, wherein the implanted device comprises an implantable cardioverter/defibrillator having a tip electrode and a coil electrode, the device being capable of delivering therapeutic shocks via the coil electrode and wherein the first configuration comprises a unipolar configuration of the tip and coil electrode.

### Claim 5

An implantable medical device comprising:
means for sensing a physiological parameter having primary and secondary characteristics with at least a first and second configuration;
means for quantitatively evaluating the sensing performed under the at least first and second sensor configurations; and
means for automatically selecting the sensor configuration having a largest discrimination between the primary and secondary characteristics for subsequent sensing of the physiologic parameter;
wherein the means for quantitatively evaluating the sensing comprises means for calculating means and corresponding standard deviations and the largest discrimination is selected predicatively as the configuration having a largest value of mean minus one standard deviation.