Predictive QRS detection and R-to-R timing systems and methods

Patent metadata

Field	Value
Publication number	US-12178586-B2
Application number	US-202217707424-A
Country	US
Kind code	B2
Filing date	Mar 29, 2022
Priority date	May 2, 2019
Publication date	Dec 31, 2024
Grant date	Dec 31, 2024

Abstract

The present disclosure is directed towards systems and methods built for predictively timing the inflation and/or deflation of an intra-aortic balloon pump. A controller operates in three states: (1) initialization state, (2) learning state, and (3) peak detection state. The controller decomposes a patient's electrocardiogram signal to a power signal. It then learns characteristics of the patient's electrocardiogram signal during the learning state and computes adaptive threshold parameter values. During the peak detection state, the controller applies the learnt threshold parameter values on a current electrocardiogram signal to identify occurrence and timings of R peaks in the electrocardiogram signal. The R-to-R peak timings are then used to trigger inflation of an intra-aortic balloon pump.

First claim

What is claimed is:

1. A system for operating intra-aortic balloon pumps, the system comprising:
at least one intra-aortic balloon pump configured to be placed in the proximity of a heart of a patient; and
at least one controller configurably connected to the at least one intra-aortic balloon pump, wherein the at least one controller comprises at least one processor and at least one non-transitory memory, wherein the at least one controller is configured to:
detect successive QRS complexes in an electrocardiograph (ECG) signal of the patient by generating a power signal corresponding to the ECG signal, detecting when the value of the power signal is greater than a threshold R-peak value, and associating a QRS complex with the time when the value of the power signal is greater than the threshold R-peak value;
predict the occurrence of a future R-wave in the ECG signal using the detected successive QRS complexes; and
control the intra-aortic balloon pump based on the predicted occurrence of the future R-wave.

2. The system of claim 1 , wherein the at least one controller is configured to inflate the intra-aortic balloon pump based on the predicted occurrence of the future R-wave.

3. The system of claim 1 , wherein the at least one controller is configured to deflate the intra-aortic balloon pump based on the predicted occurrence of the future R-wave.

4. The system of claim 1 , wherein the threshold R-peak value is based on a historic ECG signal of the patient.

5. The system of claim 4 , wherein the at least one controller is configured to generate the historic power signal based on the historic ECG signal and wherein the threshold R-peak value is a function of two or more peak values associated with the historic power signal.

6. The system of claim 1 , wherein the predicted occurrence of the future R-wave represents an amount of time from a previously detected QRS complex in the ECG signal, the amount of time being a function of the time intervals between the detected successive QRS complexes.

7. The system of claim 1 , wherein the at least one controller generates the power signal by applying a transformation signal to the ECG signal.

8. The system of claim 7 , wherein the transformation signal is a wavelet transformation.

9. The system of claim 1 , wherein the at least one controller is further configured to:
determine if a QRS complex has not been detected within a window of time in which it is expected; and
adjust the threshold R-peak value in response to said determination.

10. The system of claim 1 , wherein the at least one controller is further configured to:
determine if a detected QRS complex is a false positive; and
adjust the threshold R-peak value in response to said determination.

11. A computer implemented method for operating intra-aortic balloon pumps, the method comprising:
detecting successive QRS complexes in an electrocardiograph (ECG) signal of the patient by generating a power signal corresponding to the ECG signal, detecting when the value of the power signal is greater than a threshold R-peak value, and associating a QRS complex with the time when the value of the power signal is greater than the threshold R-peak value;
predicting the occurrence of a future R-wave in the ECG signal using the detected successive QRS complexes; and
controlling the intra-aortic balloon pump based on the predicted occurrence of the future R-wave.

12. The method of claim 11 , the method further comprises one or more of:
inflating the intra-aortic balloon pump based on the predicted occurrence of the future R-wave; and
deflating the intra-aortic balloon pump based on the predicted occurrence of the future R-wave.

13. The method of claim 11 , wherein the threshold R-peak value is based on a historic ECG signal of the patient.

14. The method of claim 13 , further comprising generating the historic power signal based on the historic ECG signal, wherein the threshold R-peak value is a function of two or more peak values associated with the historic power signal.

15. The method of claim 11 , wherein the predicted occurrence of the future R-wave represents an amount of time from a previously detected QRS complex in the ECG signal, the amount of time being a function of the time intervals between the detected successive QRS complexes.

16. The method of claim 11 , further comprising generating the power signal by applying a transformation signal to the ECG signal.

17. The method of claim 16 , wherein the transformation signal is a wavelet transformation.

18. The method of claim 11 , further comprising:
determining one or more of:
that a QRS complex has not been detected within a window of time in which it is expected; and
that a detected QRS complex is a false positive; and

adjusting the threshold R-peak value in response to said determination.

Assignees

• Nupulsecv Inc
• Univ North Carolina State

Inventors

• Smith Robert M
• Chinta Nagarjuna Reddy
• Mccormick Ryan Daniel
• Ivers Douglas Edward
• Williams Cranos M
• Badheka Divyakumar Mahiman
• Nagle Jr Hubert Troy
• Dasari Sai Bhargav
• Samadi Shamim

Classifications

• A61B5/347

  Detecting the frequency distribution of signals · CPC title

• A61M60/50

  Details relating to control · CPC title

• A61M60/135

  inside a blood vessel, e.g. using grafting · CPC title

• A61M60/515

  Regulation using real-time patient data · CPC title

• A61M60/295

  Balloon pumps for circulatory assistance · CPC title