Medical Premonitory Event Estimation

Patent metadata

Field	Value
Publication number	US-2016135706-A1
Application number	US-201514941302-A
Country	US
Kind code	A1
Filing date	Nov 13, 2015
Priority date	Nov 14, 2014
Publication date	May 19, 2016
Grant date	—

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.

First claim

What is claimed is:

1 . A medical premonitory event estimation system, comprising:
a non-transitory computer-readable storage medium in communication with one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
for a plurality of time periods, calculating an event estimation of risk score associated with a potential medical event for a subject occurring within the associated time period based at least partly on physiological parameter data of the subject.

2 . The system of claim 1 , wherein the physiological parameter data comprises ECG data.

3 . The system of claim 1 , wherein the physiological parameter data comprises at least one of blood pressure data, heart rate data, thoracic impedance data, pulse oxygen level data, respiration rate data, heart sound data, lung sound data, and activity level data.

4 . The system of claim 1 , wherein the potential medical event comprises a cardiac event.

5 . The system of claim 4 , wherein the cardiac event comprises at least one of an ectopic beat, a run of ectopic beats, a ventricular tachycardia, a bradycardia, asystole, and a T-wave abnormality.

6 . The system of claim 1 , wherein the potential medical event comprises at least one of a plurality of medical events, an increase in a rate of medical events, and/or an increase in an intensity of medical events.

7 . The system of claim 1 , wherein the potential medical event is defined in a multidimensional parameter space comprising the physiological parameter data and at least one other type of physiological parameter data and/or demographic data of the subject.

8 . The system of claim 1 , wherein the one or more processors perform operations comprising:
calculating a plurality of different event estimation of risk scores associated with the potential medical event for the subject within the associated time period based at least partly on the physiological parameter data.

9 . The system of claim 1 , wherein the one or more processors perform operations comprising:
calculating a plurality of different event estimation of risk scores associated with a plurality of different potential medical events for the subject within the associated time period based at least partly on the physiological parameter data.

10 . The system of claim 1 , wherein the calculating the event estimation of risk score comprises calculating a criticality score indicating a significance of the potential medical event with respect to at least one other potential medical event.

11 . The system of claim 1 , wherein the calculating the event estimation of risk score comprises calculating a confidence score including a probability that the potential medical event occurs within the associated time period.

12 . The system of claim 1 , wherein the one or more processors perform operations comprising:
determining that the event estimation of risk score satisfies one or more event estimation of risk thresholds for the associated time period; and determining a response to the potential medical event based at least partly on the one or more event estimation of risk thresholds determined to be satisfied.

13 . The system of claim 12 , wherein the determined response to the potential medical event includes at least one of informing the subject of advanced diagnostics, advising the subject against removal of equipment, advising the subject of a behavior modification, alerting a medical professional, and preparing a device for treatment.

14 . The system of claim 12 , wherein each of the one or more event estimation of risk thresholds include at least one confidence threshold including a required probability that the potential medical event occurs within the associated time period and at least one criticality threshold including a required significance of the potential medical event with respect to at least one other potential medical event.

15 . The system of claim 12 , wherein the one or more event estimation of risk thresholds comprise a plurality of different event estimation of risk thresholds for the associated time period.

16 . The system of claim 12 , wherein the one or more event estimation of risk thresholds for a first time period are different than the one or more event estimation of risk thresholds for a second time period.

17 . The system of claim 12 , wherein the determined response to the potential medical event for the subject occurring within a first associated time period is different that the determined response to the potential medical event for the subject occurring within a second associated time period.

18 . The system of claim 1 , wherein the one or more processors perform operations comprising:
determining that the event estimation of risk score fails to satisfies at least one event estimation of risk threshold for the associated time period; receiving additional data of the subject; and calculating an enhanced event estimation of risk score associated with the potential medical event for the subject occurring within the associated time period based at least partly on the physiological parameter data and the additional data.

19 . The system of claim 18 , wherein the additional data comprises at least one of image data of the subject, audio data including the voice of the subject, and data based on a galvanic skin response of the subject.

20 . The system of claim 12 , wherein the one or more processors perform operations comprising:
setting the one or more event estimation of risk thresholds based at least partly on historical patient data collected from a plurality of patients.

21 . The system of claim 12 , wherein the one or more processors perform operations comprising:
setting the one or more event estimation of risk thresholds based at least partly on input from a user.

22 . The system of claim 1 , wherein the one or more processors perform operations comprising:
calculating the event estimation of risk score at periodic time intervals.

23 . The system of claim 1 , wherein the one or more processors perform operations comprising:
calculating the event estimation of risk score is at dynamic time intervals, wherein a duration of the dynamic time intervals is based at least partly on the event estimation of risk score.

24 . The system of claim 1 , wherein the one or more processors perform operations comprising:
continuously calculating the event estimation of risk score is continuously calculated.

25 . The system of claim 1 , wherein the calculating the event estimation of risk score comprises applying a logistic regression model to the physiological parameter data to determine the event estimation of risk score.

26 . The system of claim 1 , wherein the calculating the event estimation of risk score comprises:
generating at least two generally orthogonal vectors based at least partly on the physiological parameter data; processing the at least two generally orthogonal vectors to determine a loop trajectory of the physiological parameter data; and identifying a trajectory bifurcation by:
characterizing a group of control loop trajectories that includes one or more loop trajectories obtained during a first time period;
characterizing a group of test loop trajectories that includes one or more loop trajectories obtained during a secon

Assignees

• Zoll Medical Corp

Inventors

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

Classifications

• A61B5/14552

  Details of sensors specially adapted therefor · CPC title

• A61B5/686

  Permanently implanted devices, e.g. pacemakers, other stimulators, biochips (A61B5/6861 takes precedence) · CPC title

• A61N1/046

  Specially adapted for shock therapy, e.g. defibrillation · CPC title

• A61B7/04

  Electric stethoscopes · CPC title

• A61B5/0205

  Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition · CPC title