# US 8,150,503 B2 · Use of periodicity in medical data analysis

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- Number: US 8,150,503 B2
- Document ID: US8150503B2
- Status: Granted
- Kind: B2
- Application number: 12/502,059
- Filed: 2009-07-13
- Published: 2009-11-05
- Granted: 2012-04-03
- Earliest claimed: 2005-09-19
- Assignees: Cardiac Pacemakers, Inc.
- Inventors: Kelly Schatz; Robert J. Sweeney
- Web page: https://patentgrep.com/patent/US8150503B2

## CPC

- A61N 1/37: Monitoring; Protecting
- A61N 1/37211: {Means for communicating with stimulators}
- 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

A patient management system is described that includes an implantable device for collecting one or more physiological parameter values and associated timestamps indicating the time at which the value is collected. The system is then configured to determine the periodic variation, if any, of a particular physiological parameter and use that periodicity in assessing changes in the parameter values over time.

## Claims

### Claim 1

A method comprising:
configuring a medical data management device to collect values of one or more physiological parameters along with associated timestamps indicative of the times at which the parameter values were measured;
configuring an implantable medical device that includes circuitry for measuring values of one or more physiological parameters to communicate the parameter values to the medical data management device along with associated timestamps indicative of the times at which the parameter values were measured; and,
configuring the medical data management device to use the timestamps associated with the collected parameter values of a physiological parameter to measure the periodic variation, if any, of that particular physiological parameter, and wherein the periodic variation of a physiological parameter is determined by computing an autocorrelation function of a time series of collected parameter values.

### Claim 2 (depends on 1)

The method of claim 1 wherein the physiological parameter values and associated timestamps collected by the medical data management device include one or more parameter values and timestamps as communicated to the medical management device via wireless telemetry.

### Claim 3 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to identify the period or periods at which the parameter varies as the lag value at which the autocorrelation function exhibits a peak.

### Claim 4 (depends on 1)

The method of claim 1 wherein the physiological parameter values represent values of the parameter averaged over a specified period of time.

### Claim 5 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to compare a present value of a parameter with a previous value of the parameter in a manner which takes into account the periodic variation of the parameter.

### Claim 6 (depends on 5)

The method of claim 5 wherein the present value of the parameter represents the values of the parameter averaged over a first period of time and wherein the previous value of the parameter represents the values of the parameter averaged over a second period of time, the previous value of the parameter being regarded as a baseline value.

### Claim 7 (depends on 6)

The method of claim 6 further comprising configuring the medical data management device to set an alarm if the difference between the present and previous values of one or more parameters exceeds a specified threshold a specified number of times or over a specified period of time.

### Claim 8 (depends on 5)

The method of claim 5 further comprising configuring the medical data management device to compute a health status parameter as a function of the differences between the present and past values of one or more physiological parameters.

### Claim 9 (depends on 5)

The method of claim 5 further comprising configuring the medical data management device to compute the conditional probability of an adverse health event as a function of the differences between the present and past values of one or more physiological parameters.

### Claim 10 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to compare a present value of a parameter with a previous value of the parameter measured at a time such that the time interval between the measurement times of the present and previous parameter values is equal to a period of the periodic variation of the parameter.

### Claim 11 (depends on 10)

The method of claim 10 further comprising configuring the medical data management device to compare a present value of a parameter with a previous value of the parameter, wherein the present and previous values of the parameter are measured at a similar time of day, day of the week, or day of the month in accordance with whether the periodic variation of the parameter is daily, weekly, or monthly, respectively.

### Claim 12 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to identify parameters with similar periodic variations.

### Claim 13 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to use the collected values of a physiological parameter to periodically re-determine the periodic variation of that parameter.

### Claim 14 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to set an alarm if the periodic variation of a particular physiological parameter changes by a specified threshold amount.

### Claim 15 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to compute a trend in the values of a physiological parameter that are measured at a similar time of day, day of the week, or day of the month in accordance with whether the periodic variation of the parameter is daily, weekly, or monthly, respectively.

### Claim 16 (depends on 1)

The method of claim 1 wherein the one or more physiological parameters measured by the implantable medical device includes heart rate.

### Claim 17 (depends on 1)

The method of claim 1 wherein the one or more physiological parameters measured by the implantable medical device includes an estimate of heart rate variability.

### Claim 18 (depends on 1)

The method of claim 1 wherein the one or more physiological parameters measured by the implantable medical device includes a measurement of exertion level.

### Claim 19 (depends on 1)

The method of claim 1 further comprising configuring the medical data management device to use timestamps associated with collected parameter values of an externally communicated physiological parameter not measured by the implantable device to measure the periodic variation, if any, of the externally communicated physiological parameter, and wherein the periodic variation is determined by computing an autocorrelation function of a time series of collected parameter values.

### Claim 20

A patient management system, comprising:
a medical data management device configured to collect values of one or more physiological parameters along with associated timestamps indicative of the times at which the parameter values were measured;
an implantable medical device that includes circuitry for measuring values of one or more physiological parameters and circuitry for communicating the parameter values to the medical data management device along with associated timestamps indicative of the times at which the parameter values were measured; and,
wherein the medical data management device is further configured to use the timestamps associated with the collected parameter values of a physiological parameter to measure the periodic variation of that particular physiological parameter based upon a time series of collected parameter values.
