Use of patterns in processing on mobile monitoring device and computer system

• US 8,204,580 B2
• Filed: 05/24/2005
• Issued: 06/19/2012
• Est. Priority Date: 05/25/2004
• Status: Active Grant

• Current Assignee: Medicomp Incorporated (Medicomp, Inc. /Balda/)
• Original Assignee: Kurzweil Technologies, Inc.
• Inventors: Kurzweil, Raymond C., Albrecht, Paul, Gibson, Lucy
• Primary Examiner(s): Schaetzle, Kennedy
• Application Number:
  US11/136,338
• Publication Number:
  US 20060025697A1
• Time in Patent Office: 2,583 Days
• Field of Search: 600/509, 600/513, 600515-520, 600/523, 607/27, 607/30, 607/59, 128/903, 128/904, 128/920, 128/923
• US Class Current: 600/515
• CPC Class Codes: A61B 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0008 Temperature signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/33 specially adapted for cooperation with other devices
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/35 by template matching

Abstract

A system include circuitry to receive information from a mobile device including ECG data representative of a beating heart, circuitry to analyze the ECG data using at least one pattern to detect a notable finding in the ECG data and circuitry to determine at least one pattern to send to the mobile device, based on the analysis of the ECG data. The system sends the at least one determined pattern to the mobile device.

Claims

1. A system comprises:

circuitry to receive information from a mobile device including ECG data representative of a beating heart;

circuitry to analyze the ECG data using at least one pattern to detect a notable finding in the ECG data;

circuitry to determine at least one additional pattern to send to the mobile device, based on the analysis of the ECG data, with a pattern comprising a specification of characteristics that is used by the mobile device and the circuitry to compare to incoming ECG data during analysis of the incoming ECG data; and

circuitry to send the at least one determined pattern to the mobile device.

2. The system of claim 1 wherein the determined pattern includes the parameters of a mathematical model.

3. The system of claim 1 wherein the determined pattern includes a template derived from historical ECG data.

4. The system of claim 1 wherein circuitry to analyze the ECG data includes circuitry to compare the analyzed ECG data to templates from categories of cardiac events in order to classify the ECG data.

5. The system of claim 1 wherein sending the determined pattern includes sending software.

6. The system of claim 1 wherein the pattern is a cardiac rhythm pattern.

7. The system of claim 6 wherein the cardiac rhythm pattern is a “

bigeminy”

rhythm that has alternating normal “

N” and

ventricular “

V”

beats, the pattern including a rhythm template that represents the “

bigeminy”

pattern as eight (8) beats of (N V N V N V N V); and

wherein incoming beats are compared to the “

bigeminy”

template to determine if a “

bigeminy”

condition exists in signals of the incoming beats.

8. The system of claim 1 wherein the pattern is selected based on information from the mobile device, including user characteristics or physiological data samples collected for the user from the mobile device, or data derived by the mobile device from the physiological data samples, including heart beat patterns and heart rhythm patterns.

9. The system of claim 1 wherein the pattern is selected based on user characteristics, including patient clinical and demographic information, and is sent to initialize the mobile device.

10. The system of claim 1 wherein the pattern is new or updated software for execution by the mobile device.

11. The system of claim 1 wherein the pattern comprises a rule that has a set of conditions and an action to perform if the set of conditions is met.

12. The system of claim 11 wherein the rule is a classification rule.

13. The system of claim 11 wherein the rule is a processing rule.

14. The system of claim 11 wherein the rule is a set of rules generated for a specific condition or patient.

15. An arrangement comprises:

a mobile device for processing ECG data representative of a beating heart, using at least one pattern to detect a notable finding in the ECG data and sending the ECG data corresponding to the notable finding to a second system; and

the second system executing a process for analyzing the ECG data corresponding to the notable finding and determining at least one new pattern to send to the mobile device, based on the analysis of the ECG data; and

a process to send the at least one determined pattern to the mobile device.

16. The arrangement of claim 15 wherein the determined pattern includes the parameters of a mathematical model.

17. The arrangement of claim 15 wherein the determined pattern includes a template derived from historical ECG data.

18. The arrangement of claim 15 wherein the process to send the determined pattern sends software to the mobile device.

19. The arrangement of claim 15 wherein the pattern is a cardiac rhythm pattern.

20. The arrangement of claim 15 wherein the pattern is selected based on user characteristics, including patient clinical and demographic information, and is sent to initialize the mobile device.

21. The arrangement of claim 15 wherein the pattern is a rule that has a set of conditions and an action to perform if the set of conditions is met.

22. A method comprises:

receiving information from a mobile device including ECG data representative of a beating heart;

analyzing the ECG data using at least one pattern to detect a notable finding in the ECG data;

determining at least one pattern to send to the mobile device based on analyzing the ECG data; and

sending the at least one determined pattern to the mobile device.

23. The method of claim 22 wherein the determined pattern includes the parameters of a mathematical model.

24. The method of claim 22 further comprising:

comparing the analyzed data to templates from categories of cardiac events in order to classify the ECG data.

25. The method of claim 22 wherein the pattern is a rule, the method further comprising:

generating a rule for a specific condition or patient.