公开(公告)号：US20190216350A1

公开(公告)日：2019-07-18

申请号：US16359159

申请日：2019-03-20

Applicant: ZOLL Medical Corporation

Inventor： Adam Sullivan ,  Francesco Nicolo ,  Steve Szymkiewicz ,  Gary A. Freeman ,  Gregory R. Frank ,  Jason T. Whiting ,  Steve Ringquist ,  Thomas E. Kaib ,  Binwei Weng ,  Guy R. Johnson

IPC: A61B5/04 ,  G16H50/30 ,  A61B5/00 ,  A61N1/372 ,  A61N1/04 ,  A61N1/39 ,  A61B5/0452 ,  G16H40/67 ,  A61B8/08 ,  A61B7/00 ,  A61B5/1455 ,  A61B7/04 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/053 ,  A61B5/085 ,  A61B5/11

CPC classification number: A61B5/04012 ,  A61B5/0006 ,  A61B5/0059 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/0452 ,  A61B5/0456 ,  A61B5/046 ,  A61B5/0464 ,  A61B5/0468 ,  A61B5/0472 ,  A61B5/0533 ,  A61B5/085 ,  A61B5/1118 ,  A61B5/14552 ,  A61B5/4803 ,  A61B5/686 ,  A61B5/7267 ,  A61B5/7275 ,  A61B7/00 ,  A61B7/003 ,  A61B7/04 ,  A61B8/0883 ,  A61N1/046 ,  A61N1/0484 ,  A61N1/37211 ,  A61N1/3925 ,  A61N1/3975 ,  G16H40/67 ,  G16H50/30

Abstract: A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

公开(公告)号：US20170367602A1

公开(公告)日：2017-12-28

申请号：US15649197

申请日：2017-07-13

Applicant: Zoll Medical Corporation

Inventor： Adam Sullivan ,  Thomas E. Kaib ,  Francesco Nicolo ,  Steve Szymkiewicz

IPC: A61B5/04 ,  A61B5/00 ,  A61N1/04 ,  A61N1/39 ,  A61B5/0452

CPC classification number: A61B5/04012 ,  A61B5/0022 ,  A61B5/04014 ,  A61B5/04085 ,  A61B5/0452 ,  A61B5/6802 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7257 ,  A61B5/746 ,  A61B5/747 ,  A61N1/046 ,  A61N1/0484 ,  A61N1/3904 ,  A61N1/3925 ,  A61N1/3956 ,  A61N1/3987 ,  A61N1/3993 ,  G06F19/00 ,  G16H40/67

Abstract: A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.

公开(公告)号：US20160135706A1

公开(公告)日：2016-05-19

申请号：US14941302

申请日：2015-11-13

Applicant: ZOLL Medical Corporation

Inventor： Adam Sullivan ,  Francesco Nicolo ,  Steve Szymkiewicz ,  Gary A. Freeman ,  Gregory R. Frank ,  Jason T. Whiting ,  Steve Ringquist ,  Thomas E. Kaib ,  Binwei Weng ,  Guy R. Johnson

IPC: A61B5/04 ,  A61B5/0205 ,  A61B5/0464 ,  A61B5/0468 ,  A61B5/046 ,  A61B5/00 ,  A61N1/39 ,  A61B8/08 ,  A61B5/021 ,  A61B5/085 ,  A61B7/04 ,  A61B7/00 ,  A61B5/11 ,  A61B5/053 ,  A61B5/0472 ,  A61B5/0456 ,  A61B5/1455

CPC classification number: A61B5/04012 ,  A61B5/0006 ,  A61B5/0059 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/0452 ,  A61B5/0456 ,  A61B5/046 ,  A61B5/0464 ,  A61B5/0468 ,  A61B5/0472 ,  A61B5/0533 ,  A61B5/085 ,  A61B5/1118 ,  A61B5/14552 ,  A61B5/4803 ,  A61B5/686 ,  A61B5/7267 ,  A61B5/7275 ,  A61B7/00 ,  A61B7/003 ,  A61B7/04 ,  A61B8/0883 ,  A61N1/046 ,  A61N1/0484 ,  A61N1/37211 ,  A61N1/3925 ,  A61N1/3975 ,  G16H40/67 ,  G16H50/30

Abstract: A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

Abstract translation: 一种用于医疗预兆事件估计的系统和方法包括一个或多个处理器，用于执行操作，包括：获取对象的第一组生理信息和在第二时间段期间接收的对象的第二组生理信息; 基于将所述第一和第二组生理信息应用于一个或多个机器学习分类器模型来计算与估计所述受试者的潜在心律失常事件的风险相关联的第一和第二风险评分，提供至少相关联的第一和第二风险评分 将潜在的心律失常事件作为时间变化的一系列风险评分，并且基于一个或多个阈值来分类与估计受试者的潜在心律失常事件的风险相关联的第一和第二风险评分。

公开(公告)号：US09724008B2

公开(公告)日：2017-08-08

申请号：US14791836

申请日：2015-07-06

Applicant: Zoll Medical Corporation

Inventor： Adam Sullivan ,  Thomas E. Kaib ,  Francesco Nicolo ,  Steve Szymkiewicz

IPC: A61B5/04 ,  A61B5/0452 ,  A61B5/00 ,  A61N1/04 ,  A61N1/39

CPC classification number: A61B5/04012 ,  A61B5/0022 ,  A61B5/04014 ,  A61B5/04085 ,  A61B5/0452 ,  A61B5/6802 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7257 ,  A61B5/746 ,  A61B5/747 ,  A61N1/046 ,  A61N1/0484 ,  A61N1/3904 ,  A61N1/3925 ,  A61N1/3956 ,  A61N1/3987 ,  A61N1/3993 ,  G06F19/00 ,  G16H40/67

Abstract: A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.

公开(公告)号：US20160000349A1

公开(公告)日：2016-01-07

申请号：US14791836

申请日：2015-07-06

Applicant: Zoll Medical Corporation

Inventor： Adam Sullivan ,  Thomas E. Kaib ,  Francesco Nicolo ,  Steve Szymkiewicz

IPC: A61B5/04 ,  A61N1/39 ,  A61B5/00 ,  A61N1/04 ,  A61B5/0408 ,  A61B5/0452

CPC classification number: A61B5/04012 ,  A61B5/0022 ,  A61B5/04014 ,  A61B5/04085 ,  A61B5/0452 ,  A61B5/6802 ,  A61B5/7203 ,  A61B5/7221 ,  A61B5/7257 ,  A61B5/746 ,  A61B5/747 ,  A61N1/046 ,  A61N1/0484 ,  A61N1/3904 ,  A61N1/3925 ,  A61N1/3956 ,  A61N1/3987 ,  A61N1/3993 ,  G06F19/00 ,  G16H40/67

Abstract: A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.

Abstract translation: 心脏监测装置包括：用于从患者获得心电图（ECG）信号的至少一个感测电极; 处理单元，包括至少一个处理器，可操作地耦合到所述至少一个感测电极; 以及包括程序指令的至少一个非暂时计算机可读介质，所述程序指令在由所述至少一个处理器执行时使所述心脏监测装置从所述至少一个感测电极获得所述ECG信号; 基于ECG信号确定转换的ECG信号; 提取表示经变换的ECG信号的至少一个特征的至少一个值; 提供所述至少一个值以确定与所述ECG信号相关联的评分，从而提供ECG导出的得分; 将ECG导出得分与通过机器学习确定的预定阈值进行比较; 并且如果ECG导出得分是由机器学习确定的预定阈值得分之上或之下的一个，则提供心脏事件的指示。

公开(公告)号：US11311230B2

公开(公告)日：2022-04-26

申请号：US16359159

申请日：2019-03-20

Applicant: ZOLL Medical Corporation

Inventor： Adam Sullivan ,  Francesco Nicolo ,  Steve Szymkiewicz ,  Gary A. Freeman ,  Gregory R. Frank ,  Jason T. Whiting ,  Steve Ringquist ,  Thomas E. Kaib ,  Binwei Weng ,  Guy R. Johnson

IPC: A61B7/00 ,  A61B5/316 ,  A61N1/39 ,  A61N1/04 ,  A61N1/372 ,  A61B5/00 ,  G16H50/30 ,  G16H40/67 ,  A61B5/349 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/0533 ,  A61B5/085 ,  A61B5/11 ,  A61B5/1455 ,  A61B7/04 ,  A61B8/08 ,  A61B5/352 ,  A61B5/361 ,  A61B5/363 ,  A61B5/364 ,  A61B5/366

Abstract: A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

公开(公告)号：US10136826B2

公开(公告)日：2018-11-27

申请号：US15649197

申请日：2017-07-13

Applicant: Zoll Medical Corporation

Inventor： Adam Sullivan ,  Thomas E. Kaib ,  Francesco Nicolo ,  Steve Szymkiewicz

IPC: A61N1/39 ,  A61B5/04 ,  A61B5/0452 ,  A61B5/00 ,  A61N1/04 ,  A61B5/0408 ,  G06F19/00 ,  G16H40/67

Abstract: A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.