IP Library › Granted Patent US 12,383,749
Granted Patent B2
US 12,383,749 · App. 17/962,746 · Granted Aug 12, 2025

Systems and methods for presenting arrhythmia episodes

Inventors: Deepa Mahajan (North Oaks, MN); David L. Perschbacher (Blaine, MN); Sunipa Saha (Shoreview, MN)
Assignee: Cardiac Pacemakers, Inc.
A61N1/37247A61B5/361A61B5/364A61B5/7475A61N1/3621A61N1/3627A61N1/3702A61N1/3704
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,383,749
App. No.
17/962,746
Granted
Aug 12, 2025
Kind
B2
Abstract

Systems and methods for managing machine-generated alert notifications of medical events detected from one or more patients are described herein. An embodiment of a data management system may receive an adjudication of a medical event episode including an episode characterization. A storage unit stores an association between one or more episode characterizations and corresponding detection algorithms for detecting a medical event having respective episode characterizations. An episode management circuit may detect from a subsequent episode, using the stored association, a medical event having an episode characterization of at least one medical event episode presented for adjudication, and schedule presenting at least a portion of the subsequent episode based on the detection.

Claims (43)

1. A system for managing medical events generated by a medical device, the system comprising:

a user interface configured to receive, from a user, an adjudication including an episode characterization characterizing a presented medical event episode;

a memory circuit configured to store a database including one-to-one mapping between episode characterizations and detection algorithms for detecting a medical event having respective episode characterizations, wherein the one-to-one mapping maps each of the episode characterizations to a detection algorithm including a distinct algorithm feature; and

an episode management circuit configured to:

identify, from the stored detection algorithms, a detection algorithm that corresponds to the episode characterization of the medical event episode presented for adjudication according to the one-to-one mapping between the episode characterizations and the detection algorithms;

determine a number of false positive adjudications of arrhythmia episodes of a patient for the episode characterization characterizing the presented medical event episode; and

present the number of false positive adjudication and the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode to the user on the user interface.

2. The system of claim 1 , wherein the user interface is further configured to receive a user input to adjust the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode,

wherein the episode management circuit is configured to detect a medical event from a subsequent episode using the adjust detection algorithm.

3. The system of claim 2 , wherein the user input to adjust the detection algorithm includes an adjustment of an arrhythmia detection threshold value, or an incorporation of a detection feature into the detection algorithm.

4. The system of claim 2 , wherein the user interface is configured to receive the user input to adjust the detection algorithm in response to the number of false positive adjudications exceeding a threshold.

5. The system of claim 1 , wherein the user interface is configured to:

present at least a portion of an arrhythmia episode generated by the medical device; and

receive from the user an adjudication decision of the presented arrhythmia episode and an episode characterization of the presented arrhythmia episode, the adjudication decision including a true position adjudication or a false positive adjudication based on user designation of a presence or absence of an arrhythmia type in the presented arrhythmia episode.

6. The system of claim 5 , wherein the user interface is configured to receive the episode characterization of the presented arrhythmia episode in response to the adjudication decision indicates the presented arrhythmia episode is a false positive detection of the arrhythmia type.

7. The system of claim 1 , wherein the episode management circuit is configured to:

automatically adjust the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode in response to the number of false positive adjudications exceeding a threshold; and

detect a medical event from a subsequent episode using the automatically adjusted detection algorithm.

8. The system of claim 7 , wherein the user interface is configured to receive from the user a confirmation or a modification of the automatically adjust detection algorithm,

wherein the episode management circuit is configured to update the automatically adjusted detection algorithm based on the received confirmation or the modification.

9. The system of claim 1 , wherein the episode characterizations in the database include respective rationales for adjudicating atrial fibrillation episodes, and the detection algorithms in the database include atrial fibrillation detection algorithms.

10. The system of claim 9 , wherein the one-to-one mapping maps a premature ventricular contraction characterization to an atrial fibrillation detection algorithm based on a pair of consecutive decreases in ventricular heart rate.

11. The system of claim 9 , wherein the one-to-one mapping maps a premature atrial contraction characterization to an atrial fibrillation detection algorithm based on a cluster of ventricular heart beats.

12. The system of claim 9 , wherein the one-to-one mapping maps a Wenckebach block or variable sinus rate characterization to an atrial fibrillation detection algorithm based on a repetitiveness of a heartbeat pattern.

13. The system of claim 9 , wherein the one-to-one mapping maps a stable rhythm at elevated rate characterization to an atrial fibrillation detection algorithm based on an adjusting heartbeat sensing threshold.

14. A method for operating a medical system to manage medical event episodes generated by a medical device, the method comprising:

receiving, via a user interface, a user input of an adjudication including an episode characterization characterizing a presented medical event episode;

accessing a memory circuit that stores a database including one-to-one mapping between episode characterizations and detection algorithms for detecting the medical event having respective episode characterizations;

via an episode management circuit, identifying from the database a detection algorithm for the episode characterization presented for adjudication using an episode management circuit, wherein the one-to-one mapping maps each of the episode characterizations to a detection algorithm including a distinct algorithm feature;

via the episode management circuit, determining a number of false positive adjudications of arrhythmia episodes of a patient for the episode characterization characterizing the presented medical event episode; and

presenting the number of false positive adjudication and the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode to the user on the user interface.

15. The method of claim 14 , further comprising:

receiving a user input to adjust the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode; and

detecting a medical event from a subsequent episode using the adjust detection algorithm.

16. The method of claim 15 , wherein the user input to adjust the detection algorithm includes adjusting an arrhythmia detection threshold value, or incorporating a detection feature into the detection algorithm.

17. The method of claim 15 , wherein receiving the user input to adjust the detection algorithm is in response to the number of false positive adjudications exceeding a threshold.

18. The method of claim 14 , comprising:

presenting at least a portion of an arrhythmia episode generated by the medical device; and

receiving from the user an adjudication decision of the presented arrhythmia episode and an episode characterization of the presented arrhythmia episode, the adjudication decision including a true position adjudication or a false positive adjudication based on user designation of a presence or absence of an arrhythmia type in the presented arrhythmia episode.

19. The method of claim 14 , comprising:

automatically adjusting the detection algorithm corresponding to the episode characterization characterizing the presented medical event episode in response to the number of false positive adjudications exceeding a threshold; and

detecting a medical event from a subsequent episode using the automatically adjusted detection algorithm.

20. The method of claim 14 , wherein the episode characterizations in the database include respective rationales for adjudicating atrial fibrillation episodes, and the detection algorithms in the database include atrial fibrillation detection algorithms.

Continuity (3)
Continuation 16260947 · Jan 29, 2019
Provisional Application 62625197 · Feb 1, 2018
Related Publication 20230040827A1 · Feb 9, 2023
References Cited (35)
US 8521269B1 · Gunderson et al. · 2013 [cited by applicant]
US 11491337B2 · Mahajan · 2022 [cited by examiner]
US 20060247548A1 · Sarkar et al. · 2006 [cited by applicant]
US 20100106036A1 · Dong et al. · 2010 [cited by applicant]
US 20120190969A1 · Kameli · 2012 [cited by applicant]
US 20130085403A1 · Gunderson et al. · 2013 [cited by applicant]
US 20130211855A1 · Eberle et al. · 2013 [cited by applicant]
US 20160045125A1 · Krueger et al. · 2016 [cited by applicant]
US 20160278659A1 · Kaib · 2016 [cited by examiner]
US 20170196457A1 · Thakur et al. · 2017 [cited by applicant]
US 20170281095A1 · An et al. · 2017 [cited by applicant]
US 20170290550A1 · Perschbacher · 2017 [cited by examiner]
US 20180064360A1 · Siejko et al. · 2018 [cited by applicant]
US 20180104502A1 · Perschbacher et al. · 2018 [cited by applicant]
US 20180192902A1 · Perschbacher et al. · 2018 [cited by applicant]
US 20190232067A1 · Mahajan et al. · 2019 [cited by applicant]
CN 111936201A · 2020 [cited by applicant]
CN 111936201B · 2024 [cited by applicant]
EP 3746176B1 · 2023 [cited by applicant]
WO WVO2019152383A1 · 2019 [cited by applicant]
“Chinese Application Serial No. 201980024133.3, Response to Examiner Telephone Interview filed Jan. 23, 24”, w/ English claims, 73 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Advisory Action mailed Oct. 25, 2021”, 4 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Examiner Interview Summary mailed Feb. 10, 2022”, 3 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Examiner Interview Summary mailed Jun. 3, 2021”, 3 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Final Office Action mailed Aug. 4, 2021”, 19 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Non Final Office Action mailed Mar. 1, 2021”, 23 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Non Final Office Action mailed Dec. 7, 2021”, 25 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Notice of Allowance mailed Jun. 27, 2022”, 8 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Response filed Mar. 7, 2022 to Non Final Office Action mailed Dec. 7, 2021”, 14 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Response filed Jun. 1, 2021 to Non Final Office Action mailed Mar. 1, 2021”, 18 pgs. [cited by applicant]
“U.S. Appl. No. 16/260,947, Response filed Oct. 4, 2021 to Final Office Action mailed Aug. 4, 2021”, 11 pgs. [cited by applicant]
“European Application Serial No. 19705029.7, Response filed Mar. 12, 2021 to Communication pursuant to Rules 161(1) and 162 EPC mailed Sep. 9, 2021”, 26 pgs. [cited by applicant]
“International Application Serial No. PCT/US2019/015603, International Preliminary Report on Patentability mailed Aug. 13, 2020”, 7 pgs. [cited by applicant]
“International Application Serial No. PCT/US2019/015603, International Search Report mailed Apr. 1, 2019”, 5 pgs. [cited by applicant]
“International Application Serial No. PCT/US2019/015603, Written Opinion mailed Apr. 1, 2019”, 5 pgs. [cited by applicant]
Cited By (1)
US 12,694,967