Long-term monitoring for discrimination of different heart rhythms

• US 9,326,697 B2
• Filed: 06/25/2014
• Issued: 05/03/2016
• Est. Priority Date: 10/19/2004
• Status: Expired due to Fees

• Current Assignee: University of Washington
• Original Assignee: University of Washington
• Inventors: Linker, David Thor
• Primary Examiner(s): DIETRICH, JOSEPH M
• Application Number:
  US14/315,061
• Publication Number:
  US 20150141860A1
• Time in Patent Office: 678 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2560/0456 Apparatus provided with a docking unit
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/333 Recording apparatus specially adapted therefor
• CPC Class Codes: A61B 5/335 using integrated circuit memory devices
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61N 1/3621 for treating or preventing abnormally high heart rate
• CPC Class Codes: A61N 1/3702 Physiological parameters A61N1/365 takes precedence; evoked response A61N1/371

Abstract

A method, system, and device for detection of an arrhythmia, and discrimination between different types of arrhythmia, for example to determine whether to administer an electric shock to the heart, the device comprising a wearable monitor with electrodes that detect the electrical activity of a beating heart, attached to an embedded monitoring system having an amplifier, a microprocessor, a data storage device, and a power supply, all disposed on a substrate having large distal end portions that attach to the electrodes and a narrow intermediate portion that attaches to the monitoring system.

Claims

1. A method for calculating an arrival time for a QRS complex, comprising:

obtaining with a wearable or an implantable arrhythmia monitoring and detection device a time sequence comprising equally spaced amplitude signals representing the electrical activity of a heart;

selecting a time window defined to include a fixed number of the equally spaced amplitude signals such that the time window has a window width;

obtaining from the time sequence a first segment comprising the fixed number of equally spaced amplitude signals, and calculating for the first segment the sum of the absolute value of the differences between each adjacent pair of amplitude signals in the first segment;

obtaining from the time sequence subsequent overlapping segments of amplitude signals, and calculating for the subsequent overlapping segments the sum of the absolute value of the differences between each adjacent pair of amplitude signals in the segment, wherein the step of obtaining subsequent overlapping segments continues until the sum exceeds a predetermined threshold value;

when the sum exceeds the predetermined threshold value, setting a flag and recording the corresponding calculated sum in a maximum sum parameter;

obtaining from the time sequence subsequent overlapping segments, and calculating for the subsequent overlapping segments the sum of the absolute value of the differences between each pair of amplitude signals in the time window, and if the calculated sum is greater than the maximum sum parameter, resetting the maximum sum parameter to the calculated sum and recording an identifier parameter that identities the segment, wherein the step of obtaining segments continues until the number of subsequent overlapping segments that have been obtained without resetting the maximum sum parameter exceeds a predetermined number; and

calculating the arrival time of the QRS complex as the center of the time window corresponding to the segment identified by the identifier parameter.

2. The method of claim 1, wherein the identifier parameter comprises the end time of the segment corresponding to the identifier parameter, and the center of the time window is calculated by subtracting half of the window size from the identifier parameter.

3. The method of claim 2, wherein the arrival time of the QRS complex is used to calculate a heartbeat RR interval.

4. The method of claim 3, wherein the arrival time of the QRS complex is used to calculate an instantaneous heart rate.

5. The method of claim 2, further comprising resetting the flag and the maximum sum, and repeating the method to calculate a next arrival time of a QRS complex from the time sequence.

6. The method of claim 2, wherein the time sequence comprising equally spaced amplitude signals comprises a digitized continuously recorded electrocardiogram.

7. The method of claim 6, wherein the electrocardiogram is a single channel electrocardiogram recording at least 100 samples per second.

8. The method of claim 1, wherein the fixed number of amplitude signals is not greater than seven amplitude signals.

9. A method for detecting a QRS complex, comprising:

obtaining, using a wearable or an implantable arrhythmia monitoring and detection device, a digitized electrocardiogram comprising a time sequence of equally spaced amplitude signals representing the measured electrical activity of a heart;

selecting a time window defined to include a fixed number of the equally spaced amplitude signals such that the time window has a window width;

obtaining from the time sequence a first segment comprising the fixed number of equally spaced amplitude signals, and calculating for the first segment the sum of the absolute value of the differences between each adjacent pair of amplitude signals in the first segment;

obtaining from the time sequence subsequent overlapping segments of amplitude signals, and calculating for the subsequent overlapping segments the sum of the absolute value of the differences between each adjacent pair of amplitude signals in the segment, wherein the step of obtaining subsequent overlapping segments continues until the sum exceeds a predetermined threshold value;

when the sum exceeds the predetermined threshold value, setting a flag and recording the corresponding calculated sum in a maximum sum parameter;

obtaining from the time sequence subsequent overlapping segments, and calculating for the subsequent overlapping segments the sum of the absolute value of the differences between each pair of amplitude signals in the time window, and if the calculated sum is greater than the maximum sum parameter, resetting the maximum sum parameter to the calculated sum and recording an identifier parameter that identifies the segment, wherein the step of obtaining segments continues until the number of subsequent overlapping segments that have been obtained without resetting the maximum sum parameter exceeds a predetermined number; and

identifying the QRS complex as the segment identified by the identifier parameter.

10. The method of claim 9, wherein the identifier parameter comprises the end time of the segment corresponding to the identifier parameter, and the center of the time window is calculated by subtracting half of the window size from the identifier parameter.

11. The method of claim 10, wherein the arrival time of the QRS complex is used to calculate a heartbeat RR interval.

12. The method of claim 11, wherein the arrival time of the QRS complex is used to calculate an instantaneous heart rate.

13. The method of claim 10, further comprising resetting the flag and the maximum sum, and repeating the method to calculate a next arrival time of a QRS complex from the time sequence.

14. The method of claim 10, wherein the time sequence comprising equally spaced amplitude signals comprises a digitized continuously recorded electrocardiogram.

15. The method of claim 14, wherein the electrocardiogram is a single channel electrocardiogram recording at least 100 samples per second.

16. The method of claim 9, wherein the fixed number of amplitude signals is not greater than seven amplitude signals.