公开(公告)号：US20240148259A1

公开(公告)日：2024-05-09

申请号：US18412037

申请日：2024-01-12

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC: A61B5/0205 ,  A61B5/00 ,  A61B5/145 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/352 ,  A61B5/355 ,  A61B5/358 ,  A61B5/36 ,  G16H50/20

CPC classification number: A61B5/0205 ,  A61B5/14532 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/352 ,  A61B5/355 ,  A61B5/358 ,  A61B5/36 ,  A61B5/6802 ,  G16H50/20 ,  A61B5/02405

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

公开(公告)号：US11890080B2

公开(公告)日：2024-02-06

申请号：US18173570

申请日：2023-02-23

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC: A61B5/02 ,  A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20 ,  A61B5/352 ,  A61B5/024

CPC classification number: A61B5/0205 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/14532 ,  A61B5/318 ,  A61B5/352 ,  A61B5/355 ,  A61B5/358 ,  A61B5/36 ,  A61B5/6802 ,  G16H50/20 ,  A61B5/02405 ,  A61B2560/0223

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

公开(公告)号：US20230380705A1

公开(公告)日：2023-11-30

申请号：US18141953

申请日：2023-05-01

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Todd M. Zielinski ,  Nathan A. Torgerson ,  Lilian Kornet ,  Richard N. Cornelussen ,  Shantanu Sarkar ,  Veronica Ramos ,  Douglas A. Hettrick ,  Yong K. Cho

IPC: A61B5/021 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/00

CPC classification number: A61B5/02125 ,  A61B5/0205 ,  A61B5/02438 ,  A61B5/4839

Abstract: A system may measure, by one or more sensors, a biometric parameter associated with a subject. The system may determine values of a control parameter based on measuring the biometric parameter. The control parameter may include blood pressure of the subject. The system may perform a control measure based on a comparison of the values of the control parameters to a threshold. Performing the control measure may include delivering therapy treatment to the subject or outputting a notification indicating an action associated with treating a medical condition. Measuring the biometric parameter, determining the values of the control parameter, and performing the control measure may be in response to one or more trigger criteria.

公开(公告)号：US20230190116A1

公开(公告)日：2023-06-22

申请号：US18173570

申请日：2023-02-23

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC: A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20 ,  A61B5/352

CPC classification number: A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/1455 ,  A61B5/6802 ,  A61B5/14532 ,  G16H50/20 ,  A61B5/352 ,  A61B5/02405

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

公开(公告)号：US11607140B2

公开(公告)日：2023-03-21

申请号：US17168761

申请日：2021-02-05

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC: A61B5/02 ,  A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20 ,  A61B5/352 ,  A61B5/024

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

公开(公告)号：US20220257184A1

公开(公告)日：2022-08-18

申请号：US17649615

申请日：2022-02-01

Applicant: Medtronic, Inc.

Inventor： Alfonso Aranda Hernandez ,  Richard N. Cornelussen ,  Lilian Kornet

IPC: A61B5/00 ,  A61B5/363 ,  A61B5/355 ,  A61B5/024 ,  A61B5/29

Abstract: Techniques are described including sensing at least one cardiac signal for a patient during a specified time period; determining a short-term variability (STV) metric for the patient based on the at least one cardiac signal sensed during the specified time period, wherein determining the STV metric comprises at least one of: controlling the determined STV metric based on one or more confounding factors, or correcting the determined STV metric based on the one or more confounding factors, wherein the one or more confounders comprise T-wave morphology; and generating a corresponding notification based on the STV metric to one or more computing devices.

公开(公告)号：US20220248965A1

公开(公告)日：2022-08-11

申请号：US17168761

申请日：2021-02-05

Applicant: Medtronic, Inc.

Inventor： Richard J. O'Brien ,  Lilian Kornet ,  Richard N. Cornelussen ,  Alfonso Aranda Hernandez ,  Raphael Schneider

IPC: A61B5/0205 ,  A61B5/1495 ,  A61B5/318 ,  A61B5/36 ,  A61B5/358 ,  A61B5/355 ,  A61B5/352 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/145 ,  G16H50/20

Abstract: A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.