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：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：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.