Device for varying the threshold detection level of a sensor

• US 5,669,392 A
• Filed: 07/01/1996
• Issued: 09/23/1997
• Est. Priority Date: 07/04/1995
• Status: Expired due to Term

• Current Assignee: Pacesetter AB
• Original Assignee: Pacesetter AB
• Inventors: Ljungstrom, Jan
• Primary Examiner(s): Jastrzab, Jeffrey R.
• Application Number:
  US08/673,114
• Time in Patent Office: 449 Days
• Field of Search: 128/630, 128/668, 128/672, 128/687, 128/696, 128/697, 128/704, 128/708, 128/716, 128/736, 128/901, 128/902, 607/17, 364/413.03, 364/413.05, 364/413.06
• US Class Current: 600/510
• CPC Class Codes: A61N 1/3704 Circuits specially adapted therefor, e.g. for sensitivity control

Abstract

In a method and apparatus for automatically adjusting the threshold detection level of a detector unit for detecting physiological events, e.g. heart contractions, a cardiac signal is sensed and sampled, the samples of the cardiac signal are stored in a memory. A timer starts the sampling and stops the sampling after a predetermined time. An analysis unit analyzes the stored cardiac signal samples to generate a first set of values which represent physiological events, such as average peak signal value, the average maximum signal slope or an integrated signal value. The analysis unit calculates at least one derived parameter from the whole of the first set of values and automatically determines a new threshold detection level for the sensor as a function of this at least one derived parameter. For this purpose the analysis unit (8) compares the new threshold detection level with the stored periodic physiological signal to determine how many physiological events would have been detected if the new threshold level had been in use when the sampling was taking place, and the analysis unit changes the new threshold detection level if the number of physiological events which would have been detected differs by more than a programmable number from the estimated number of physiological events.

Claims

1. A medical diagnostic device comprising:

sensor means for sensing a periodic physiological signal, representing physiological events, from a living subject;

sampling means, connected to said sensor means, for collecting samples of said periodic physiological signal employing a threshold detection level;

memory means for storing said samples of said periodic physiological signal;

timer means for starting said sampling means and for stopping said sampling means after a predetermined time;

analysis means having access to said memory means for analyzing said periodic physiological signal using the samples stored in said memory means by estimating a number of said physiological events occurring in said periodic physiological signal during said time and for generating a set of values corresponding to said physiological events;

said analysis means including means for calculating at least one derived parameter from said set of values; and

said analysis means including means for automatically determining a new threshold detection level for said sampling means as a function of said at least one derived parameter and means for comparing said new threshold detection level with the samples stored in said memory means for determining how many of said physiological events would have been detected if said new threshold detection level had been used by said sampling means, and for changing said threshold detection level of said sampling means to said new threshold detection level if the number of physiological events which would have been detected differs by more than a programmable number from said estimated number of physiological events.

2. A medical diagnostic device as claimed in claim 1 wherein said set of values comprises a first set of values, and said analysis means further including:

discriminating means for ignoring at least one value of said first set of values and for forming a second set of values comprising said first set of values without said at least one value;

means for calculating at least one auxiliary derived parameter from said second set of values; and

means for automatically varying said threshold detection level of said sensor means as a function of said at least one auxiliary derived parameter and said derived parameter.

3. A medical diagnostic device as claimed in claim 2 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an average peak signal value.

4. A medical diagnostic device as claimed in claim 2 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an average maximum signal slope.

5. A medical diagnostic device as claimed in claim 2 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an integrated signal value.

6. A medical diagnostic device as claimed in claim 2 wherein said discriminating means comprises means for ignoring a maximum value in said first set of values.

7. A medical diagnostic device as claimed in claim 2 wherein said discriminating means comprises means for ignoring a minimum value in said first set of values.

8. A medical diagnostic device as claimed in claim 2 wherein said discriminating means comprises means for determining an average value of said first set of values and means for ignoring a value of said first set of values which is farthest from said average value.

9. A medical diagnostic device as claimed in claim 1 wherein said sensor means comprise means for sensing a cardiac signal, representing cardiac events, from said living subject and wherein said analysis means estimates a number of said cardiac events.

10. A medical diagnostic device comprising:

sensor means, having a threshold detection level associated therewith, for sensing a periodic physiological signal, representing physiological events, from a living subject;

sampling means, connected to said sensor means, for collecting samples of said periodic physiological signal employing a threshold detection level;

memory means for storing said samples of said periodic physiological signal;

timer means for starting said sampling means and for stopping said sampling means after a predetermined time;

analysis means having access to said memory means for analyzing said periodic physiological signal using the samples stored in said memory means by estimating a number of said physiological events occurring in said periodic physiological signal during said time and for generating a first set of values corresponding to said physiological events;

said analysis means including means for calculating at least one derived parameter from said first set of values;

said analysis means including means for automatically determining a first new threshold detection level for said sampling means as a function of said at least one derived parameter; and

said analysis means including means for calculating a plurality of further new threshold detection levels which differ from said first new threshold detection level by a plurality of different amounts and for comparing each of said further new threshold detection levels with said samples stored in said memory means for determining how many physiological events would have been detected if each further new threshold level had been used by said sampling means during said time and for setting the threshold detector level of said sampling means to one of said first and further new threshold detector levels which would have detected said estimated number of physiological events.

11. A medical diagnostic device as claimed in claim 10 wherein said means for calculating a plurality of further new threshold detection levels comprises means for calculating a plurality of further new threshold detection levels which differ from the first new threshold detection level by a plurality of predetermined different amounts.

12. A medical diagnostic device as claimed in claim 10 wherein said means for calculating a plurality of further new threshold detection levels comprises means for calculating a plurality of further new threshold detection levels which differ from the first new threshold detection level by a plurality of programmable different amounts.

13. A medical diagnostic device as claimed in claim 10 wherein said set of values comprises a first set of values, and said analysis means further including:

discriminating means for ignoring at least one value of said first set of values and for forming a second set of values comprising said first set of values without said at least one value;

means for calculating at least one auxiliary derived parameter from said second set of values; and

means for automatically varying said threshold detection level of said sensor means as a function of said at least one auxiliary derived parameter and said derived parameter.

14. A medical diagnostic device as claimed in claim 13 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an average peak signal value.

15. A medical diagnostic device as claimed in claim 13 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an average maximum signal slope.

16. A medical diagnostic device as claimed in claim 13 wherein said means for calculating at least one auxiliary derived parameter from said second set of values comprises means for determining an integrated signal value.

17. A medical diagnostic device as claimed in claim 13 wherein said discriminating means comprises means for ignoring a maximum value in said first set of values.

18. A medical diagnostic device as claimed in claim 13 wherein said discriminating means comprises means for ignoring a minimum value in said first set of values.

19. A medical diagnostic device as claimed in claim 13 wherein said discriminating means comprises means for determining an average value of said first set of values and means for ignoring a value of said first set of values which is farthest from said average value.

20. A medical diagnostic device as claimed in claim 10 wherein said sensor means comprises means for sensing a cardiac signal, representing cardiac events, from said living subject and wherein said analysis means estimates a number of said cardiac events.

21. A method for setting a threshold detection level in a medical diagnostic device comprising the steps of:

sensing a periodic physiological signal, representing physiological events, from a living subject;

sampling said periodic physiological signal by employing a threshold detection level;

storing samples of said periodic physiological signal;

stopping said sampling after a predetermined time;

analyzing said periodic physiological signal using the stored samples by estimating a number of said physiological events occurring in said periodic physiological signal during said time and generating a set of values corresponding to said physiological events;

calculating at least one derived parameter from said set of values; and

automatically determining a new threshold detection level for said sampling as a function of said at least one derived parameter and means for comparing said new threshold detection level with the stored samples for determining how many of said physiological events would have been detected if said new threshold detection level had been used in said sampling, and changing said threshold detection level of said sampling to said new threshold detection level if the number of physiological events which would have been detected differs by more than a programmable number from said estimated number of physiological events.

22. A method as claimed in claim 21 wherein said set of values comprises a first set of values, and comprising the further steps of:

ignoring at least one value of said first set of values and forming a second set of values comprising said first set of values without said at least one value;

calculating at least one auxiliary derived parameter from said second set of values; and

automatically varying said threshold detection level of said sensor means as a function of said at least one auxiliary derived parameter and said derived parameter.

23. A method as claimed in claim 22 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an average peak signal value.

24. A method as claimed in claim 22 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an average maximum signal slope.

25. A method as claimed in claim 22 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an integrated signal value.

26. A method as claimed in claim 22 wherein the step of ignoring at least one value comprises ignoring a maximum value in said first set of values.

27. A method as claimed in claim 22 wherein the step of ignoring at least one value comprises ignoring a minimum value in said first set of values.

28. A method as claimed in claim 22 wherein the step of ignoring at least one value comprises determining an average value of said first set of values and ignoring a value of said first set of values which is farthest from said average value.

29. A method as claimed in claim 21 Wherein the step of sensing a periodic physiological signal comprises sensing a cardiac signal, representing cardiac events, from said living subject, and wherein the step of analyzing said periodic physiological signal comprises analyzing said cardiac signal and estimating a number of said cardiac events therein.

30. A method for setting a threshold detection level in a medical diagnostic device comprising the steps of:

sensing a periodic physiological signal, representing physiological events from a living subject;

sampling said periodic physiological signal employing a threshold detection level by employing a threshold detection level;

storing samples of said periodic physiological signal;

stopping said sampling after a predetermined time;

analyzing said periodic physiological signal using the stored samples by estimating a number of said physiological events occurring in said periodic physiological signal during said time and generating a first set of values corresponding to said physiological events;

calculating at least one derived parameter from said first set of values;

automatically determining a first new threshold detection level for said sampling as a function of said at least one derived parameter; and

calculating a plurality of further new threshold detection levels which differ from said first new threshold detection level by a plurality of different amounts and comparing each of said further new threshold detection levels with said stored samples for determining how many physiological events would have been detected if each further new threshold level had been used in said sampling during said time and for setting the threshold detection level of said sampling to one of said first and further new threshold detector levels which would have detected said estimated number of physiological events.

31. A method as claimed in claim 30 wherein said set of values comprises a first set of values, and comprising the further steps of:

ignoring at least one value of said first set of values and forming a second set of values comprising said first set of values without said at least one value;

calculating at least one auxiliary derived parameter from said second set of values; and

automatically varying said threshold detection level of said sensor means as a function of said at least one auxiliary derived parameter and said derived parameter.

32. A method as claimed in claim 31 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an average peak signal value.

33. A method as claimed in claim 31 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an average maximum signal slope.

34. A method as claimed in claim 31 wherein the step of calculating at least one auxiliary derived parameter from said second set of values comprises determining an integrated signal value.

35. A method as claimed in claim 31 wherein the step of ignoring at least one value comprises ignoring a maximum value in said first set of values.

36. A method as claimed in claim 31 wherein the step of ignoring at least one value comprises ignoring a minimum value in said first set of values.

37. A method as claimed in claim 31 wherein the step of ignoring at least one value comprises determining an average value of said first set of values and ignoring a value of said first set of values which is farthest from said average value.

38. A method as claimed in claim 30 wherein the step of sensing a periodic physiological signal comprises sensing a cardiac signal, representing cardiac events, from said living subject, and wherein the step of analyzing said periodic physiological signal comprises analyzing said cardiac signal and estimating a number of said cardiac events therein.