Analysis of direct and indirect heartbeat data variations

• US 9,943,237 B2
• Filed: 12/03/2014
• Issued: 04/17/2018
• Est. Priority Date: 12/04/2013
• Status: Active Grant

• Current Assignee: Welch Allyn Incorporated
• Original Assignee: Welch Allyn Incorporated
• Inventors: Baker, Steven D., Petersen, Eric Glen
• Primary Examiner(s): Natnithithadha, Navin
• Application Number:
  US14/559,405
• Publication Number:
  US 20150201859A1
• Time in Patent Office: 1,231 Days
• Field of Search: 600481, 600483, 600485, 600500-503, 600509, 600513
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval

Abstract

One method for measuring variability between direct heartbeat data and indirect heartbeat data includes: receiving first heartbeat data from an electrocardiogram over a period of time; receiving second heartbeat data from an indirect measure of heartbeat data over at least a portion of the period of time; calculating, by a computing device, a difference between the first heartbeat data and the second heartbeat data; and comparing the difference to determine a variation.

Claims

1. A method for measuring variability between direct heartbeat data and indirect heartbeat data, the method comprising:

receiving first heartbeat data from an electrocardiogram over a period of time;

receiving second heartbeat data from an indirect measure of heartbeat data over at least a portion of the period of time;

calculating, by a computing device, a difference between the first heartbeat data and the second heartbeat data;

comparing, by the computing device, the difference to determine a variation;

estimating, by the computing device, an elasticity of arteries of an individual by analyzing the difference between the first heartbeat data and the second heartbeat data over time;

selecting, by the computing device, subsets of the first heartbeat data and subsets of the second heartbeat data;

performing, by the computing device, a spectral analysis of the selected subsets of the first heartbeat data and subsets of the second heartbeat data; and

presenting, by a display device, the spectral analysis, wherein the spectral analysis includes detection of features of the selected subsets of the first heartbeat data and subsets of the second heartbeat data.

2. The method of claim 1, further comprising:

plotting graphical representations of beat-to-beat differences;

performing measurements at different conditions; and

determining more or less variance based upon the different conditions.

3. The method of claim 1, further comprising using a pulse oximeter oxygen saturation sensor to provide the indirect measure.

4. The method of claim 1, further comprising using a pressure sensor to provide the indirect measure.

5. The method of claim 1, wherein the spectral analysis is presented in near real-time.

6. The method of claim 1, wherein the selecting subsets includes selecting a desired signal from between the first heartbeat data and the second heartbeat data.