System for identifying premature ventricular contractions

US12350058B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12350058-B2
Application numberUS-202217649039-A
CountryUS
Kind codeB2
Filing dateJan 26, 2022
Priority dateFeb 4, 2021
Publication dateJul 8, 2025
Grant dateJul 8, 2025

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  1. Title

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  2. Abstract

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system is provided that includes one or more processors, and a memory coupled to the one or more processors. The memory stores program instructions, and the program instructions are executable by the one or more processors. When executed, the one or more processors obtain cardiac activity (CA) signals for a series of beats, and identify whether a characteristic of interest (COI) from a first segment of the CA signals exceeds a COI limit. The one or more processors also analyze morphology of the CA signals for the series of beats responsive to the first segment of the CA signals exceeding the COI limit, and based on the analyze operation, identify a premature ventricular contraction (PVC) within the series of beats.

First claim

Opening claim text (preview).

What is claimed is: 1. A system, comprising: a sensing circuit configured to detect CA signals for a series of beats; one or more processors; and a memory coupled to the one or more processors, wherein the memory stores program instructions, wherein the program instructions are executable by the one or more processors to: obtain, with a premature ventricular contraction (PVC) identification system via the sensing circuit, candidate cardiac activity (CA) signals for the series of beats; identify, with the PVC identification system, whether a characteristic of interest (COI) from a first segment of the candidate CA signals exceeds a COI limit; analyze, with the PVC identification system, morphology of the candidate CA signals for the series of beats responsive to the first segment of the candidate CA signals exceeding the COI limit; and based on the analyze operation, identify, with the PVC identification system, a PVC within the series of beats; discard the candidate CA signals if the PVC is identified within the candidate CA signals based on the analyze operation; add the candidate CA signals to the series of beats and discarding another beat of the series of beats if a PVC is not identified within the candidate CA signals based on the analyze operation; and repeat the obtain, identify, analyze, operations to identify an additional PVC in the series of beats. 2. The system of claim 1 , wherein to identify whether the COI from the first segment of the CA signals exceeds the COI limit comprises: comparing a R-R interval (RRI) of a candidate beat to a RRI related to the series of beats; and determining whether a change in the RRI of the candidate beat compared to the RRI related to the series of beats exceeds a threshold. 3. The system of claim 2 , wherein the RRI related to the series of beats is a mean RRI of the series of beats. 4. The system of claim 2 , wherein the program instructions are executable by the one or more processors further to: analyze RRIs of additional candidate beats responsive to identifying the PVC of the candidate beat; and determine whether a biphasic reaction occurred in the series of beats. 5. The system of claim 1 , wherein to analyze morphology of the CA signals for the series of beats comprises determining at least one of an area of the CA signals, a maximum amplitude of the CA signals, or a minimum amplitude of the CA signals. 6. The system of claim 1 , wherein the program instructions are executable by the one or more processors further to: determine a type of PVC based on the PVC and the additional PVC. 7. The system of claim 1 , wherein the program instructions are executable by the one or more processors further to: reject an atrial fibrillation (AF) diagnosis based on identification of the PVC. 8. The system of claim 1 , wherein the program instructions are executable by the one or more processors further to: diagnose a type of tachycardia episode based on the identification of the PVC. 9. The system of claim 1 , wherein the program instructions are executable by the one or more processors further to: discard the RRI of a candidate beat from a heart rate variability (HRV) diagnosis determination responsive to identifying the PVC of the candidate beat. 10. A computer implemented method for identifying a premature ventricular contraction (PVC), comprising: under control of one or more processors configured with specific executable instructions, obtaining, with a premature ventricular contraction (PVC) identification system via a sensing circuit, candidate cardiac activity (CA) signals for a series of beats; identifying, with the PVC identification system, whether a characteristic of interest (COI) from a first segment of the candidate CA signals exceeds a COI limit; analyzing, with the identification PVC system, morphology of the candidate CA signals for the series of beats responsive to the first segment of the CA signals exceeding the COI limit; based on the analyzing operation, identifying, with the PVC identification system, a PVC within the series of beats; discarding the candidate CA signals if the PVC is identified within the candidate CA signals based on the analyze operation; adding the candidate CA signals to the series of beats and discarding another beat of the series of beats if a PVC is not identified within the candidate CA signals based on the analyze operation; and repeating the obtaining, identifying, analyzing, operations to identify an additional PVC in the series of beats. 11. The method of claim 10 , wherein identifying whether the COI from the first segment of the CA signals exceeds the COI limit comprises: comparing a R-R interval (RRI) of a candidate beat to a RRI related to the series of beats; and determining whether a change in the RRI of the candidate beat compared to the RRI related to the series of beats exceeds a threshold. 12. The method of claim 11 , further comprising: analyzing RRIs of additional candidate beats responsive to identifying the PVC of the candidate beat; and determining whether a biphasic reaction occurred in the series of beats. 13. The method of claim 12 , wherein the RRI related to the series of beats is a mean RRI of the series of beats. 14. The method of claim 10 , wherein analyzing morphology of the CA signals for the series of beats comprises determining at least one of an area of the CA signals, a maximum amplitude of the CA signals, or a minimum amplitude of the CA signals. 15. The method of claim 10 , further comprising: determining a type of PVC based on the PVC and the additional PVC. 16. The method of claim 10 , further comprising: rejecting an atrial fibrillation (AF) diagnosis based on identification of the PVC. 17. The method of claim 10 , further comprising: diagnosing a type of tachycardia episode based on the identification of the PVC. 18. The method of claim 10 , further comprising: discarding the RRI of a candidate beat from a heart rate variability (HRV) diagnosis determination responsive to identifying the PVC of the candidate beat.

Assignees

Inventors

Classifications

  • Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval · CPC title

  • Detecting tachycardia or bradycardia · CPC title

  • Detecting fibrillation · CPC title

  • Detecting abnormal QRS complex, e.g. widening · CPC title

  • A61B5/364Primary

    Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats · CPC title

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What does patent US12350058B2 cover?
A system is provided that includes one or more processors, and a memory coupled to the one or more processors. The memory stores program instructions, and the program instructions are executable by the one or more processors. When executed, the one or more processors obtain cardiac activity (CA) signals for a series of beats, and identify whether a characteristic of interest (COI) from a first …
Who is the assignee on this patent?
Pacesetter Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/364. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jul 08 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).