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.

公开(公告)号：US08874197B2

公开(公告)日：2014-10-28

申请号：US13664017

申请日：2012-10-30

Applicant: Medtronic, Inc.

Inventor： Daniel Becker ,  Raphael Schneider

IPC: A61B5/0472 ,  A61B5/0452

CPC classification number: A61B5/0472 ,  A61B5/0452 ,  A61B5/4035 ,  A61N1/36507 ,  A61N1/3987

Abstract: Risk determination for a near fatal ventricular arrhythmia of a patient. An electrocardiogram of a heart of the patient is obtained. A parameter is measured, using an electrocardiogram of a heart of the patient, indicative of an autonomic nervous system of the patient. A numeric score is assigned for the parameter indicative of the conduction system of the heart. A numeric score is assigned for the parameter indicative of the autonomic nervous system. A ratio of the numeric score of the parameter indicative of the conduction system of the heart of the patient and the numeric score of the parameter indicative of the autonomic nervous system of the patient is calculated. The risk of the potentially near fatal ventricular arrhythmia of the patient is determined to be significant if the ratio is greater than a predetermined threshold. An action responsive to the determining step is taken.

Abstract translation: 患者接近致命性室性心律失常的风险确定。 获得患者心脏的心电图。 使用患者心脏的心电图来测量参数，指示患者的自主神经系统。 为指示心脏的传导系统的参数分配数字得分。 为指示自主神经系统的参数分配数值分数。 计算指示患者心脏的传导系统的参数的数值分数与指示患者的自主神经系统的参数的数值分数的比率。 如果该比例大于预定阈值，则确定患者可能接近致命性室性心律失常的风险是显着的。 采取响应于确定步骤的动作。

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：US20140121542A1

公开(公告)日：2014-05-01

申请号：US13664017

申请日：2012-10-30

Applicant: MEDTRONIC, INC.

Inventor： Daniel Becker ,  Raphael Schneider

IPC: A61B5/0205 ,  A61N1/39 ,  A61N1/18 ,  A61N1/365

CPC classification number: A61B5/0472 ,  A61B5/0452 ,  A61B5/4035 ,  A61N1/36507 ,  A61N1/3987

Abstract: Risk determination for a near fatal ventricular arrhythmia of a patient. An electrocardiogram of a heart of the patient is obtained. A parameter is measured, using an electrocardiogram of a heart of the patient, indicative of an autonomic nervous system of the patient. A numeric score is assigned for the parameter indicative of the conduction system of the heart. A numeric score is assigned for the parameter indicative of the autonomic nervous system. A ratio of the numeric score of the parameter indicative of the conduction system of the heart of the patient and the numeric score of the parameter indicative of the autonomic nervous system of the patient is calculated. The risk of the potentially near fatal ventricular arrhythmia of the patient is determined to be significant if the ratio is greater than a predetermined threshold. An action responsive to the determining step is taken.

Abstract translation: 患者接近致命性室性心律失常的风险确定。 获得患者心脏的心电图。 使用患者心脏的心电图来测量参数，指示患者的自主神经系统。 为指示心脏的传导系统的参数分配数字得分。 为指示自主神经系统的参数分配数值分数。 计算指示患者心脏的传导系统的参数的数值分数与指示患者的自主神经系统的参数的数值分数的比率。 如果该比例大于预定阈值，则确定患者可能接近致命性室性心律失常的风险是显着的。 采取响应于确定步骤的动作。

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：US20190246926A1

公开(公告)日：2019-08-15

申请号：US16311312

申请日：2017-06-22

Applicant: Medtronic, Inc.

Inventor： Nathalie Virag ,  Soren Aasmul ,  Catherine Chassard ,  Richard Cornelussen ,  Gerard Hill ,  Robert Leinders ,  Mirko De Melis ,  Raphael Schneider ,  Vasiliki Spyropoulou

IPC: A61B5/046 ,  A61B5/1455 ,  A61B5/00

CPC classification number: A61B5/046 ,  A61B5/02405 ,  A61B5/02427 ,  A61B5/04012 ,  A61B5/1455 ,  A61B5/6826 ,  A61B5/6831 ,  A61B5/6833 ,  A61B5/7264 ,  A61B5/7282 ,  A61B2505/07 ,  A61B2562/0233 ,  A61B2562/164

Abstract: The invention relates to a device for detecting atrial fibrillation of a subject, comprising a member comprising —mechanical connection means to wearably connect the member to a subject; —the member further comprising an optical sensor arranged to measure a signal representing a blood perfusion parameter of the subject; the member comprising the optical sensor and mechanical connection means at such relative positions that when the mechanical connection means connect the member to the subject, the optica! sensor operatively faces the subject. The device is arranged to detect atrial fibrillation of the subject based on the signal measured by the optical sensor.