US 2020/0345911 A1Published application

Predictive qrs detection and r-to-r timing systems and methods

AssigneeNuPulseCV, Inc.

InventorsRobert M. Smith, Nagarjuna Reddy Chinta, Ryan Daniel McCormick, Douglas Edward Ivers

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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.

Claims20

Dependent claims

A system for operating intra-aortic balloon pumps, the system comprising:

at least one intra-aortic balloon pump 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:
initialize values of one or more parameters based on an identity of the patient;
receive a first electrocardiogram signal of the patient;
generate a first power spectrum signal by decomposing the received first electrocardiogram signal, wherein the first power spectrum signal is generated by:
applying at least one transformation signal to decompose the received first electrocardiogram signal into discrete frequency signals;
selecting one or more portions of the discrete frequency signals;
and
computing the first power spectrum signal by aligning the selected one or more portions of discrete frequency signals,
wherein the computed first power spectrum signal is based on a first selected portion of the discrete frequency signals and a second selected portion of the discrete frequency signals,
wherein the first selected portion of the discrete frequency signals is in a first frequency range of 15.625 Hz to 31.25 Hz, and
wherein the second selected portion of the discrete frequency signals is in a second frequency range of 7.8125 Hz to 15.625 Hz;
select a first portion of the generated first power spectrum signal;
divide the selected first portion of the generated first power spectrum signal into one or more subsets comprising sub-portions of the selected first portion of the generated first power spectrum signal;
for each subset in the one or more subsets of the selected first portion of the generated first power spectrum signal:
compute a peak value of the sub-portion of the selected first portion of the first power spectrum signal falling within the subset;
and
store the computed peak value of the subset in a first threshold buffer;
and
compute a first adaptive threshold R-peak value based on the computed peak values stored in the first threshold buffer.

18 more elements

A computer implemented method for operating intra-aortic balloon pumps, the method comprising:

initializing values of one or more parameters based on an identity of a patient;
receiving a first electrocardiogram signal of the patient;
generating a first power spectrum signal by decomposing the received first electrocardiogram signal, wherein the first power spectrum signal is generated by:
applying at least one transformation signal to decompose the received first electrocardiogram signal into discrete frequency signals;
selecting one or more portions of the discrete frequency signals;
and
computing the first power spectrum signal by aligning the selected one or more portions of discrete frequency signals,
wherein the computed first power spectrum signal is based on a first selected portion of the discrete frequency signals and a second selected portion of the discrete frequency signals,
wherein the first selected portion of the discrete frequency signals is in a first frequency range of 15.625 Hz to 31.25 Hz, and
wherein the second selected portion of the discrete frequency signals is in a second frequency range of 7.8125 Hz to 15.625 Hz;
selecting a first portion of the generated first power spectrum signal;
dividing the selected first portion of the generated first power spectrum signal into one or more subsets comprising sub-portions of the selected first portion of the generated first power spectrum signal;
for each subset in the one or more subsets of the selected first portion of the generated first power spectrum signal:
computing a peak value of the sub-portion of the selected first portion of the first power spectrum signal falling within the subset;
and
storing the computed peak value of the subset in a first threshold buffer;
and
computing a first adaptive threshold R-peak value based on the computed peak values stored in the first threshold buffer.

15 more elements

A computer implemented method for operating intra-aortic balloon pumps, the method comprising:

initializing values of one or more parameters based on an identity of a patient;
receiving a first electrocardiogram signal of the patient;
generating a first power spectrum signal by decomposing the received first electrocardiogram signal, wherein the first power spectrum signal is generated by:
applying at least one transformation signal to decompose the received first electrocardiogram signal into discrete frequency signals;
selecting one or more portions of the discrete frequency signals;
and
computing the first power spectrum signal by aligning the selected one or more portions of discrete frequency signals,
wherein the computed first power spectrum signal is based on a first selected portion of the discrete frequency signals and a second selected portion of the discrete frequency signals,
wherein the first selected portion of the discrete frequency signals is in a first frequency range of 15.625 Hz to 31.25 Hz, and
wherein the second selected portion of the discrete frequency signals is in a second frequency range of 7.8125 Hz to 15.625 Hz;
selecting a first portion of the generated first power spectrum signal;
dividing the selected first portion of the generated first power spectrum signal into one or more subsets comprising sub-portions of the selected first portion of the generated first power spectrum signal;
for each subset in the one or more subsets of the selected first portion of the generated first power spectrum signal:
computing a peak value of the sub-portion of the selected first portion of the first power spectrum signal falling within the subset;
and
storing the computed peak value of the subset in a first threshold buffer;
computing a first adaptive threshold R-peak value based on the computed peak values stored in the first threshold buffer;
receiving a second electrocardiogram signal of the patient;
generating a second power spectrum signal by decomposing the received second electrocardiogram signal, wherein the second power spectrum signal is generated by:
applying at least one transformation signal to decompose the received second electrocardiogram signal into second discrete frequency signals;
selecting one or more portions of the second discrete frequency signals;
and
computing the second power spectrum signal by aligning the selected one or more portions of the second discrete frequency signals,
wherein the computed second power spectrum signal is based on a first selected portion of the second discrete frequency signals and a second selected portion of the second discrete frequency signals,
wherein the first selected portion of the second discrete frequency signals is in a first frequency range of 15.625 Hz to 31.25 Hz, and
wherein the second selected portion of the second discrete frequency signals is in a second frequency range of 7.8125 Hz to 15.625 Hz;
selecting a first portion of the generated second power spectrum signal;
dividing the selected first portion of the generated second power spectrum signal into one or more second subsets comprising sub-portions of the selected first portion of the generated second power spectrum signal;
for each subset in the one or more second subsets of the selected first portion of the generated second power spectrum signal:
computing a peak value of the sub-portion of the selected first portion of the second power spectrum signal falling within the subset;
and
storing the computed peak value of the subset in a second threshold buffer;
computing a second adaptive threshold R-peak value based on the computed peak values stored in the second threshold buffer;
computing an R-to-R time interval value indicative of timing between two successive R-peaks in successive QRS complexes in the received second electrocardiogram signal of the patient based on:
the computed first adaptive threshold R-peak value, or the computed second adaptive threshold R-peak value, or both;
generating a prediction of timing of a future R-peak based on the computed R-to-R time interval value indicative of timing between two successive R-peaks in successive QRS complexes;
and
triggering an inflation of at least one intra-aortic balloon pump based on the generated prediction of timing of the future R-peak.

35 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/401,407Filed 2 May 2019
Published: 5 Nov 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification16 codes

A61B 5/0215
Measuring pressure in heart or blood vessels: by means inserted into the body
G16H 50/20
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…
A61B 5/346
Heart-related electrical modalities, e.g. electrocardiography [ECG]: analysis of electrocardiograms
A61B 5/347
Analysis of electrocardiograms: detecting the frequency distribution of signals