Non-invasive monitoring of physiological conditions

• US 10,694,965 B2
• Filed: 01/25/2018
• Issued: 06/30/2020
• Est. Priority Date: 07/14/2010
• Status: Active Grant

• Current Assignee: Mayo Foundation For Medical Education And Research (Mayo Clinic)
• Original Assignee: Mayo Foundation For Medical Education And Research (Mayo Clinic)
• Inventors: Friedman, Paul A., Bennet, Kevin E., Bruce, Charles J., Somers, Virend K.
• Primary Examiner(s): Manuel, George
• Application Number:
  US15/880,104
• Publication Number:
  US 20180146875A1
• Time in Patent Office: 887 Days
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1477 non-invasive
• CPC Class Codes: A61B 5/346 Analysis of electrocardiograms
• CPC Class Codes: A61B 5/35 by template matching
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening

Abstract

This document provides methods and materials related to the non-invasive measurement of analytes in blood.

Claims

1. A computer-implemented method, comprising:

obtaining data representing an electrocardiogram (ECG) of a person;

comparing the data representing the ECG of the person to a pre-defined ECG template that corresponds to a normal level of an analyte in a bloodstream of the person;

determining whether a current level of the analyte in the bloodstream of the person is normal based on a result of comparing the data representing the ECG of the person to the pre-defined ECG template; and

generating an alert in response to determining that the current level of the analyte in the bloodstream of the person is not normal.

2. The computer-implemented method of claim 1, wherein the analyte is potassium, magnesium, calcium, or glucose.

3. The computer-implemented method of claim 1, wherein the analyte is a medication.

4. The computer-implemented method of claim 1, wherein the pre-defined ECG template is generated based on the ECG of the person, so as to be a specific template for the person.

5. The computer-implemented method of claim 1, wherein comparing the data representing the ECG of the person to the pre-defined ECG template comprises comparing morphologies of the ECG of the person to morphologies represented by the pre-defined ECG template.

6. A computer-implemented method, comprising:

obtaining data representing an electrocardiogram (ECG) of a person;

comparing the data representing the ECG of the person to a pre-defined ECG template that corresponds to a normal physiologic condition of the person, wherein the pre-defined ECG template is based on ECGs of additional persons other than the person;

determining whether a current physiologic condition of the person is normal based on a result of comparing the data representing the ECG of the person to the pre-defined ECG template; and

generating an alert in response to determining that the current physiologic condition of the person is not normal.

8. The computer-implemented method of claim 6, wherein the pre-defined ECG template corresponds to a normal level of an analyte in a bloodstream of the person, and comparing the data representing the ECG of the person to the pre-defined ECG template comprises assessing a current level of the analyte in the bloodstream of the person.

9. The computer-implemented method of claim 8, wherein the analyte is potassium, magnesium, calcium, or glucose.

7. A computer-implemented method, comprising:

generating an electrocardiogram ECG template that corresponds to a normal physiologic condition of a person by averaging multiple ECGs of the person corresponding to times when the physiologic condition of the person was normal;

obtaining data representing an ECG of the person;

comparing the data representing the ECG of the person to the ECG template that corresponds to the normal physiologic condition of the person;

determining whether a current physiologic condition of the person is normal based on a result of comparing the data representing the ECG of the person to the ECG template; and

generating an alert in response to determining that the current physiologic condition of the person is not normal.

10. The computer-implemented method of claim 7, wherein the ECG template corresponds to a normal level of an analyte in a bloodstream of the person, and comparing the data representing the ECG of the person to the pre-defined ECG template comprises assessing a current level of the analyte in the bloodstream of the person.

11. The computer-implemented method of claim 10, wherein the analyte is potassium, magnesium, calcium, or glucose.

12. A computer-implemented method, comprising:

obtaining data representing an electrocardiogram (ECG) of a person;

comparing the data representing the ECG of the person to a pre-defined ECG template that corresponds to a normal physiologic condition of the person, wherein comparing the data representing the ECG of the person to the pre-defined ECG template comprises determining a numerical or percentage difference in values between the ECG of the person and the pre-defined ECG template;

determining whether a current physiologic condition of the person is normal based on a result of comparing the data representing the ECG of the person to the pre-defined ECG template; and

generating an alert in response to determining that the current physiologic condition of the person is not normal.

13. The computer-implemented method of claim 12, wherein the pre-defined ECG template corresponds to a normal level of an analyte in a bloodstream of the person, and comparing the data representing the ECG of the person to the pre-defined ECG template comprises assessing a current level of the analyte in the bloodstream of the person.

14. The computer-implemented method of claim 13, wherein the analyte is potassium, magnesium, calcium, or glucose.