WIRELESS MONITOR FOR A PERSONAL MEDICAL DEVICE SYSTEM

• US 20100010330A1
• Filed: 09/22/2009
• Published: 01/14/2010
• Est. Priority Date: 06/01/2007
• Status: Abandoned Application

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Inventors: Istoc, Emilian, Halpern, Arieh S., Han, Jino, Hong, Peter I., Rankers, Ulrich, Williams, Gary L., Moberg, Sheldon B., Enegren, Bradley J., Gottlieb, Rebecca K., Mastrototaro, John J., Talbot, Cary, Holtzclaw, Kris R.
• Application Number:
  US12/564,830
• Publication Number:
  US 20100010330A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/3561 local, e.g. within room or hospital
• CPC Class Codes: A61M 2205/3569 sublocal, e.g. between console and disposable
• CPC Class Codes: A61M 2205/3592 using telemetric means, e.g. radio or optical transmission
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2205/505 Touch-screens; Virtual keyboard or keypads; Virtual buttons; Soft keys; Mouse touches
• CPC Class Codes: A61M 2209/01 Remote controllers for specific apparatus
• CPC Class Codes: A61M 5/142 Pressure infusion, e.g. using pumps
• CPC Class Codes: A61M 5/14244 adapted to be carried by the patient, e.g. portable on the body
• CPC Class Codes: A61M 5/172 electrical or electronic A61M5/16804, A61M5/16831 take precedence
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A monitor device for a fluid infusion system and its operating, display, and data processing characteristics are described herein. One embodiment of the monitor device is used in an insulin infusion system having an insulin infusion pump and a continuous glucose sensor transmitter. The monitor device is configured as a wireless bedside monitor that wirelessly receives status data from a device in the fluid infusion system, such as the infusion pump or the sensor transmitter. The monitor device supports a number of user interface features, alarm/alert features, and graphical display features, where such features enhance the overall operation and user-friendliness of the monitor device. For example, the monitor device can generate status icons that graphically indicate the time remaining for an exhaustible operating quantity of a device in the infusion system (e.g., a battery charge, a fluid reservoir volume, or a calibration or replacement period). The monitor device can also estimate future measurements of a physiological characteristic of a monitored patient, based upon empirical measurement data received by the monitor device.

Claims

1. A monitor device for a medical device system, the monitor device comprising:

a display element;

a display controller/driver coupled to the display element and configured to generate a screen for rendering on the display element; and

a processing architecture configured to;

analyze sensor data obtained by the monitor device, the sensor data indicating empirical measurements of a physiological characteristic of a monitored patient; and

estimate future measurements of the physiological characteristic based upon the sensor data;

wherein

the screen comprises a predictive graph of the physiological characteristic that graphically indicates the empirical measurements and the future measurements.

2. A monitor device according to claim 1, wherein the predictive graph comprises indicia of a target zone for the physiological characteristic.

3. A monitor device according to claim 2, the processing architecture being configured to predict whether the future measurements will leave the target zone within a period of time.

4. A monitor device according to claim 3, wherein:

the processing architecture is configured to obtain an estimated time corresponding to when the future measurements will leave the target zone; and

the screen comprises an indicator of the estimated time.

5. A monitor device according to claim 4, wherein the indicator comprises a countdown timer.

6. A monitor device according to claim 1, further comprising a wireless data communication module configured to wirelessly receive the sensor data from an infusion pump.

7. A monitor device according to claim 1, further comprising a wireless data communication module configured to wirelessly receive the sensor data from a continuous physiological sensor transmitter.

8. A monitor device according to claim 1, wherein:

the medical device system is an insulin infusion system having a continuous glucose sensor transmitter; and

the sensor data comprises blood glucose data.

9. A monitor device according to claim 1, further comprising alarm control logic configured to generate a warning alarm when the future measurements indicate an alarm condition for the physiological characteristic of the monitored patient, wherein the display controller/driver is configured to generate an alarm screen corresponding to the warning alarm.

10. A monitor device according to claim 1, the processing architecture being configured to extrapolate the empirical measurements, resulting in extrapolated data, wherein the future measurements are based upon the extrapolated data.

11. A monitor device according to claim 1, the processing architecture being configured to perform curve fitting on the empirical measurements, resulting in curve fitted data, wherein the future measurements are based upon the curve fitted data.

12. A method of operating a monitor device for a medical device system, the method comprising:

receiving sensor data that indicates empirical measurements of a physiological characteristic of a monitored patient;

estimating future measurements of the physiological characteristic based upon the sensor data;

generating a predictive graph of the physiological characteristic, where the predictive graph graphically indicates the empirical measurements and the future measurements; and

displaying the predictive graph at the monitor device.

13. A method according to claim 12, wherein displaying the predictive graph comprises rendering a monitor screen for the monitor device, the monitor screen including the predictive graph.

14. A method according to claim 12, wherein receiving the sensor data comprises wirelessly receiving the sensor data from an infusion pump.

15. A method according to claim 12, wherein receiving the sensor data comprises wirelessly receiving the sensor data from a continuous glucose sensor transmitter.

16. A method according to claim 12, wherein the predictive graph comprises indicia of a target zone for the physiological characteristic.

17. A method according to claim 16, further comprising predicting whether the future measurements will leave the target zone within a period of time.

18. A method according to claim 17, further comprising:

obtaining an estimated time corresponding to when the future measurements will leave the target zone; and

generating an indicator of the estimated time for display with the predictive graph.

19. A method according to claim 12, further comprising:

generating a warning alarm when the future measurements indicate an alarm condition for the physiological characteristic of the monitored patient; and

generating an alarm screen corresponding to the warning alarm.

20. A method according to claim 12, further comprising extrapolating the empirical measurements to obtain extrapolated data, wherein the future measurements are based upon the extrapolated data.

21. A method according to claim 12, further comprising the step of performing curve fitting on the empirical measurements to obtain curve fitted data, wherein the future measurements are based upon the curve fitted data.