公开(公告)号：US20210236063A1

公开(公告)日：2021-08-05

申请号：US17237839

申请日：2021-04-22

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  D'Anne E Kudlik

IPC: A61B5/00 ,  A61N1/365 ,  A61N1/37 ,  A61N1/362 ,  A61B5/25 ,  A61B5/35 ,  A61B5/282 ,  A61B5/287 ,  A61B5/349 ,  A61B5/352

Abstract: Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

公开(公告)号：US10773085B2

公开(公告)日：2020-09-15

申请号：US15915995

申请日：2018-03-08

Applicant: Medtronic, Inc.

Inventor： Subham Ghosh ,  D'Anne Kudlik ,  Ya-Jian Cheng

IPC: A61B5/04 ,  A61N1/365 ,  A61N1/37 ,  A61B5/0452 ,  A61N1/362 ,  A61B5/00 ,  A61B5/042 ,  A61B5/0408 ,  A61B5/0456 ,  A61B5/0472 ,  A61B5/0428

Abstract: The exemplary systems and methods may be configured to generate a dispersion signal from a plurality of cardiac signals and determine a QRS onset time value and a QRS offset time value from the plurality of cardiac signals. The QRS onset and offset time values may be used to measure, or capture, activation times.

公开(公告)号：US20240285240A1

公开(公告)日：2024-08-29

申请号：US18562735

申请日：2022-05-24

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng

IPC: A61B5/00 ,  A61B5/29 ,  A61B5/308 ,  A61B5/335 ,  A61B5/339 ,  A61B5/361 ,  A61B5/363

CPC classification number: A61B5/7267 ,  A61B5/0006 ,  A61B5/29 ,  A61B5/308 ,  A61B5/335 ,  A61B5/339 ,  A61B5/361 ,  A61B5/363 ,  A61B5/686 ,  A61B5/7275 ,  A61B2560/0468

Abstract: This disclosure is directed to systems and techniques for detecting change in patient health based on a modular machine learning architecture ensembling different cardiac events. In one example, a medical system is configured to: detect a cardiac event type for the patient based on a classification of the patient physiological data in accordance with a modular machine learning architecture, wherein the modular machine learning architecture comprises, for each of a plurality of cardiac event types, an ensemble that comprises a current component model for classifying the cardiac EGM data as evidence of that respective one of the plurality of cardiac event types; and generate for display output data indicative of a positive detection of the cardiac event type.

公开(公告)号：US10987517B2

公开(公告)日：2021-04-27

申请号：US15802615

申请日：2017-11-03

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  D'Anne E Kudlik

IPC: A61B5/0428 ,  A61N1/365 ,  A61N1/37 ,  A61B5/0452 ,  A61N1/362 ,  A61B5/00 ,  A61B5/042 ,  A61B5/0408 ,  A61B5/0456 ,  A61B5/0472

Abstract: Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

公开(公告)号：US11937948B2

公开(公告)日：2024-03-26

申请号：US17385481

申请日：2021-07-26

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  Jerry D. Reiland

IPC: A61B5/00 ,  A61B5/287 ,  A61B5/364

CPC classification number: A61B5/7221 ,  A61B5/287 ,  A61B5/364

Abstract: This disclosure is directed to techniques for identifying false detection of asystole in a cardiac electrogram that include determining whether at least one of a plurality of false asystole detection criteria are satisfied. In some examples, the plurality of false asystole detection criteria includes a first false asystole detection criterion including a reduced amplitude threshold for detecting cardiac depolarizations in the cardiac electrogram, and a second false asystole detection criterion for detecting decaying noise in the cardiac electrogram.

公开(公告)号：US11071500B2

公开(公告)日：2021-07-27

申请号：US16401553

申请日：2019-05-02

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  Jerry D. Reiland

IPC: A61B5/287 ,  A61B5/00 ,  A61B5/364

Abstract: This disclosure is directed to techniques for identifying false detection of asystole in a cardiac electrogram that include determining whether at least one of a plurality of false asystole detection criteria are satisfied. In some examples, the plurality of false asystole detection criteria includes a first false asystole detection criterion including a reduced amplitude threshold for detecting cardiac depolarizations in the cardiac electrogram, and a second false asystole detection criterion for detecting decaying noise in the cardiac electrogram.

公开(公告)号：US20180263522A1

公开(公告)日：2018-09-20

申请号：US15915995

申请日：2018-03-08

Applicant: Medtronic, Inc.

Inventor： Subham Ghosh ,  D'Anne Kudlik ,  Ya-Jian Cheng

IPC: A61B5/0456 ,  A61B5/0408 ,  A61B5/00

Abstract: The exemplary systems and methods may be configured to generate a dispersion signal from a plurality of cardiac signals and determine a QRS onset time value and a QRS offset time value from the plurality of cardiac signals. The QRS onset and offset time values may be used to measure, or capture, activation times.

公开(公告)号：US11701062B2

公开(公告)日：2023-07-18

申请号：US17237839

申请日：2021-04-22

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  D'Anne E Kudlik

IPC: A61B5/308 ,  A61B5/00 ,  A61N1/365 ,  A61N1/37 ,  A61N1/362 ,  A61B5/25 ,  A61B5/35 ,  A61B5/282 ,  A61B5/287 ,  A61B5/349 ,  A61B5/352 ,  A61B5/30 ,  A61B5/366

CPC classification number: A61B5/7203 ,  A61B5/25 ,  A61B5/282 ,  A61B5/287 ,  A61B5/349 ,  A61B5/35 ,  A61B5/352 ,  A61B5/686 ,  A61B5/6823 ,  A61B5/7264 ,  A61N1/365 ,  A61N1/3622 ,  A61N1/371 ,  A61N1/3704 ,  A61B5/30 ,  A61B5/366 ,  A61B5/6801 ,  A61B5/6852 ,  A61B5/7217 ,  A61B5/7278

Abstract: Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

公开(公告)号：US20230034970A1

公开(公告)日：2023-02-02

申请号：US17387728

申请日：2021-07-28

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  Eduardo N. Warman ,  Jeffrey M. Gillberg ,  Abhijit Kadrolkar ,  Shantanu Sarkar ,  Kevin T. Ousdigian

IPC: A61B5/0245 ,  A61B5/00

Abstract: This disclosure is directed to a medical system and technique for a filter-based approach to arrhythmia detection. In one example, the medical system comprises one or more sensors configured to sense physiological parameter(s); sensing circuitry configured to generate patient data based on the sensed physiological parameter(s), the patient data comprising signal data to represent cardiac activity of the patient; and processing circuitry configured to: detect a cardiac arrhythmia for the patient based on a classification of the signal data in accordance with a machine learning model, wherein the machine learning model comprises filter(s) for at least one portion of the signal data, wherein the at least one filter corresponds to a feature set that maps to the cardiac activity represented by the portion(s) of the signal data; and generate for display output data indicative of a positive detection of the cardiac arrhythmia.

公开(公告)号：US20220398470A1

公开(公告)日：2022-12-15

申请号：US17804259

申请日：2022-05-26

Applicant: Medtronic, Inc.

Inventor： Ya-Jian Cheng ,  Sean R. Landman ,  Bruce D. Gunderson ,  Paul D. Ziegler ,  Shantanu Sarkar ,  Kevin T. Ousdigian ,  Gautham Rajagopal ,  Ekaterina M. Ippolito

IPC: G06N5/04 ,  G16H40/67

Abstract: This disclosure describes techniques for bypassing an algorithm configured to determine a likelihood of episode data being a false indication of a cardiac episode. A medical device system includes processing circuitry configured to receive episode data and determine, based on satisfaction of one or more bypass conditions of a set of bypass conditions, whether to bypass the algorithm. Responsive to bypassing the algorithm, the processing circuitry stores the episode data as a true indication of the cardiac episode.