Prediction of worsening of heart failure using blended reference

• US 10,448,899 B2
• Filed: 10/27/2016
• Issued: 10/22/2019
• Est. Priority Date: 10/29/2015
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Thakur, Pramodsingh Hirasingh, An, Qi, Averina, Viktoria A., Hatlestad, John D., Zhang, Yi
• Primary Examiner(s): Stice, Paula J
• Application Number:
  US15/335,754
• Publication Number:
  US 20170119317A1
• Time in Patent Office: 1,090 Days
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0535 Impedance plethysmography for measuring blood flow A61B5/0295
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/308 for electrocardiography [ECG]
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• 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: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: A61B 7/023 for introduction into the body, e.g. into the oesophagus oesophageal ECG probes A61B5/285
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61B 8/0883 for diagnosis of the heart
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems and methods for detecting cardiac conditions such as events indicative of worsening of heart failure (HF) are described. A system can receive a physiological signal from a patient, transform one or more first portions of the physiological signal into respective one or more baseline statistical values, transform one or more second portions of the physiological signal into one or more historical extreme values, and generate one or more reference values of a physiologic parameter using the baseline statistical values and the historical extreme values. The system can transform one or more third signal portions of the physiological signal into respective one or more short-term values, and produce a cardiac condition indicator using a combination of relative differences between the short-term values and the corresponding reference values. The system can output the cardiac condition indicator, or deliver therapy according to the cardiac condition indicator.

Claims

1. A system, comprising:

a signal input circuit configured to receive at least one physiological signal from a patient;

a signal processor circuit, including;

a memory circuit;

a reference value generator circuit including;

a filter circuit to transform one or more first signal portions of the received at least one physiological signal during respective one or more first time windows into respective one or more baseline statistical values;

a comparator circuit to transform one or more second signal portions of the received at least one physiological signal during respective one or more second time windows into respective one or more historical extreme values; and

a blending circuit to generate one or more reference values of a physiologic parameter stored in the memory circuit using the respective one or more baseline statistical values and the respective one or more historical extreme values; and

a short-term value generator circuit configured to transform one or more third signal portions of the received at least one physiological signal during respective one or more third time windows into respective one or more short-term values stored in the memory circuit, the one or more third time windows shorter than the respective first and second time windows;

a cardiac condition detector circuit configured to determine a cardiac condition indicator using the one or more short-term values and the one or more reference values; and

an output unit, configured to generate a human-perceptible presentation of an indication of a progression over time of the cardiac condition indicator.

2. The system of claim 1, wherein:

the filter circuit is configured to produce the one or more baseline statistical values including respective statistical measures of the physiologic parameter using the respective one or more first signal portions; and

the comparator circuit is configured to produce the one or more historical extreme values including respective one or more maxima or minima of the physiologic parameter using the respective one or more second signal portions.

3. The system of claim 1, wherein the one or more first time windows are different from the respective one or more second time windows by at least one of a window start time, a window end time, or a window duration.

4. The system of claim 3, wherein at least one of the one or more second time windows precedes the corresponding first time window in time.

5. The system of claim 3, wherein at least one of the one or more second time windows has a longer window duration than the corresponding first time window.

6. The system of claim 1, wherein:

the signal input circuit is configured to receive the at least one physiologic signal including a heart sound (HS) signal;

the filter circuit is configured to generate the one or more baseline statistical values including central tendency of S3 heart sound intensity values using one or more first signal portions of the received HS signal; and

the comparator circuit is configured to generate the one or more historical extreme values including minimal S3 heart sound intensity values using one or more second signal portions of the received HS signal.

7. The system of claim 1, wherein:

the signal input circuit is configured to receive the at least one physiologic signal including an impedance (Z) signal;

the filter circuit is configured to generate the one or more baseline statistical values including central tendency of Z values using one or more first signal portions of the received Z signal; and

the comparator circuit is configured to generate the one or more historical extreme values including maximal Z values using one or more second signal portions of the received Z signal.

8. The system of claim 1, wherein the reference value generator circuit is further configured to update the one or more reference values, including one or more of:

update the one or more baseline statistical values using respective one or more specified portions of the received at least one physiologic signal, the one or more specified portions postdate the corresponding one or more first time windows;

or

update the one or more historical extreme values using respective one or more updated second time windows, the one or more updated second time windows differing from the corresponding second time windows by at least one of a window start time, a window end time, or a window duration.

9. The system of claim 1, wherein the short-term value generator circuit is configured to generate the one or more short-term values using a statistical measure of the respective one or more third signal portions of the received at least one physiological signal.

10. The system of claim 1, wherein the cardiac condition detector circuit is configured to determine the cardiac condition indicator using a combination of differences between the one or more short-term values and the corresponding one or more reference values, each of the differences scaled by a specified weight factor.

11. The system of claim 1, wherein the cardiac condition detector circuit is configured to detect an onset of a cardiac condition when a cardiac condition indicator meets a first criterion, and to detect a termination of the cardiac condition when the cardiac condition indicator meets a second criterion.

12. A method, comprising:

receiving at least one physiological signal sensed from a patient using a signal input circuit;

transforming one or more first signal portions of the received at least one physiological signal during respective one or more first time windows into respective one or more baseline statistical values using a filter circuit in a reference value generator circuit of a signal processor circuit;

transforming one or more second signal portions of the received at least one physiological signal during respective one or more second time windows into respective one or more historical extreme values using a comparator circuit in the reference value generator circuit;

generating one or more reference values of a physiologic parameter stored in a memory circuit using the respective one or more baseline statistical values and the respective one or more historical extreme values using a blending circuit in the reference value generator circuit;

transforming one or more third signal portions of the received at least one physiological signal during respective one or more third time windows into respective one or more short-term values stored in the memory circuit using a short-term value generator circuit of the signal processor circuit, the one or more third time windows shorter than the respective first and second time windows;

determining a cardiac condition indicator using the one or more short-term values and the one or more reference values using a cardiac condition detector circuit; and

generating a human-perceptible presentation of an indication of a progression over time of the cardiac condition indicator using an output unit.

13. The method of claim 12, wherein the one or more baseline statistical values include respective statistical measures of the physiologic parameter using the respective one or more first signal portions, and the one or more historical extreme values including respective one or more maxima or minima of the physiologic parameter using the respective one or more second signal portions.

14. The method of claim 12, wherein the one or more first time windows are different from the respective one or more second time windows by at least one of a window start time, a window end time, or a window duration.

15. The method of claim 12, wherein:

receiving the at least one physiological signal includes receiving a heart sound (HS) signal;

transforming the one or more first signal portions includes computing central tendency of S3 heart sound intensity values using one or more first signal portions of the received HS signal; and

transforming the one or more second signal portions includes identifying one or more minimal S3 heart sound intensity values from respective one or more second signal portions of the received HS signal.

16. The method of claim 12, wherein:

receiving the at least one physiological signal includes receiving an impedance (Z) signal;

transforming the one or more first signal portions includes computing central tendency of Z values using one or more first signal portions of the received Z signal; and

transforming the one or more second signal portions includes identifying one or more maximal Z values from respective one or more second signal portions of the received Z signal.

17. The method of claim 12, further comprising one or more of:

updating the one or more baseline statistical values using respective one or more specified portions of the received at least one physiologic signal, the one or more specified portions postdate the corresponding one or more first time windows;

or

updating the one or more historical extreme values using respective one or more updated second time windows, the one or more updated second time windows differing from the corresponding second time windows by at least one of a window start time, a window end time, or a window duration.

18. The method of claim 12, wherein determining the cardiac condition indicator includes determining a combination of differences between the one or more short-term values and the corresponding one or more reference values, each of the differences scaled by a specified weight factor.

19. The method of claim 12, wherein the one or more short-term values include a statistical measure of the respective one or more third signal portions of the received at least one physiological signal.

20. The method of claim 12, comprising detecting an onset of a cardiac condition using the cardiac condition detector circuit when a cardiac condition indicator meets a first criterion, and detecting a termination of the cardiac condition using the cardiac condition detector circuit when the cardiac condition indicator meets a second criterion.