ALARM SYSTEMS USING MONITORED PHYSIOLOGICAL DATA AND TREND DIFFERENCE METHODS

• US 20120220847A1
• Filed: 11/04/2010
• Published: 08/30/2012
• Est. Priority Date: 11/04/2009
• Status: Abandoned Application

• Current Assignee: AiMedics Pty., Ltd.
• Original Assignee: AiMedics Pty., Ltd.
• Inventors: Skladnev, Victor, Tamavskii, Stanislav, McGregor, Thomas, Ghevondian, Nejhdeh
• Application Number:
  US13/505,808
• Publication Number:
  US 20120220847A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• 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: G16H 40/67 for remote operation

Abstract

A method and system are described for detecting a hypoglycaemic state in a patient. The patient'"'"'s heart rate is monitored to provide a heart-rate signal. A time-lagged signal is determined as the difference between the heart-rate signal and a time-lagged version of the heart rate-signal. The heart-rate signal is filtered with a low-pass filter to provide a heart-rate trend. An absolute difference between the heart-rate signal and the heart-rate trend is determined to provide an absolute-difference signal. A second time-lagged signal is determined as a difference between the absolute-difference signal and a time-lagged version of the absolute-difference signal. The occurrence of a hypoglycaemic condition is inferred dependent on the time-lagged signal and the second time-lagged signal.

Claims

1. method of detecting a hypoglycaemic state in a patient, the method comprising:

monitoring a heart rate of the patient to provide a heart-rate signal;

determining a time-lagged time sequence as the difference between the heart-rate signal and a time-lagged version of the heart-rate signal;

inferring the occurrence of a hypoglycaemic event if the difference exceeds a first specified threshold and

issuing an alarm if the occurrence is inferred.

2. The method of claim 1 comprising filtering the heart-rate signal with a low-pass filter to provide a heart-rate trend, wherein the time-lagged time sequence is determined as the difference between the heart rate trend and a time-lagged version of the heart-rate trend.

3. The method of claim 1 comprising varying the first specified threshold dependent on one or more measured patient parameters.

4. The method of claim 3 wherein the patient parameter comprises a measured blood glucose level.

5. The method of claim 4 wherein, if the measured blood glucose level is high, the first threshold is adjusted to reduce the likelihood of inferring the occurrence of a hypoglycaemic event.

6. The method of claim 4 wherein, if the measured blood glucose level is near normal values or at low levels, the first threshold is adjusted to increase the likelihood of inferring the occurrence of a hypoglycaemic event.

7. The method of claim 1 wherein the method of detecting a hypoglycaemic state is commenced at a start time and the method comprises:

determining a no-alarm window period dependent on a blood glucose value of the patient associated with the start time, wherein no alarm is issued if a hypoglycaemic event is inferred between the start time and an end time of the no-alarm window period.

8. The method of claim 7 wherein the duration of the no-alarm window is increased for higher levels of blood glucose associated with the start time.

19. A system for detecting a hypoglycaemic state in a patient, comprising:

a heart-rate monitor for monitoring a heart rate of the patient; and

a processor in data communication with the heart-rate monitor, programmed to detect a hypoglycaemic condition of the patient using the method of claim 1.

20. A computer program product comprising machine-readable program code recorded on a machine readable recording medium, for controlling the operation of a data processing apparatus on which the program code executes to perform a method of detecting a hypoglycaemic condition of the patient using the method of claim 1.

9. A method of detecting a hypoglycaemic state in a patient, the method. comprising:

monitoring, a heart rate of the patient to provide a heart-rate signal;

filtering the heart-rate signal with a low-pass filter to provide a heart-rate trend;

determining an absolute difference between the heart-rate signal and the heart-rate trend to provide an absolute-difference time sequence; and

generating a time-lagged signal as a difference between the absolute-difference time sequence and a time-lagged version of the absolute-difference time sequence.

10. The method of claim 9 comprising inferring the occurrence of a hypoglycaemic condition if the time-lagged signal exceeds a specified threshold.

11. A method of detecting a hypoglycaemic state in a patient, the method comprising:

monitoring a heart rate of the patient to provide a heart-rate signal;

determining a time-lagged signal as the difference between the heart-rate signal and a time-lagged version of the heart rate-signal;

filtering the heart-rate signal with a low-pass filter to provide a heart-rate trend;

determining an absolute difference between the heart-rate signal and the heart-rate trend to provide an absolute-difference signal;

generating a second time-lagged signal as a difference between the absolute-difference signal and a time-lagged version of the absolute-difference signal; and

inferring the occurrence of a hypoglycaemic condition dependent on the time-lagged signal and the second time-lagged signal.

12. The method of claim 11 wherein the occurrence of the hypoglycaemic condition is inferred if the time-lagged signal crosses a first specified threshold and the second time-lagged signal crosses a second specified threshold.

13. The method of claim 12 comprising varying the first specified threshold and/or the second specified threshold dependent on one or more measured patient parameters.

14. The method of claim 12 comprising multiplying the time-lagged signal and/or the second time-lagged signal by a scaling factor dependent on one or more measured patient parameters.

15. The method of claim 13 wherein the patient parameter comprises a measured blood glucose level.

16. The method of claim 15 wherein, if the measured blood glucose level is high, the first threshold and/or the second threshold are adjusted to reduce the likelihood of inferring the occurrence of a hypoglycaemic event.

17. The method of claim 15 wherein, if the measured blood glucose level is near normal values or at low levels, the thresholds are adjusted to increase the likelihood of inferring the occurrence of a hypoglycaemic event.

18. The method of claim 11 wherein the method of detecting a hypoglycaemic state is commenced at a start time and the method comprises:

determining a no-alarm window period dependent on a blood glucose value of the patient associated with the start time, wherein no alarm is issued if a hypoglycaemic event is inferred between the start time and an end time of the no-alarm window period.

21. (canceled)