Real time QRS duration measurement in electrocardiogram

• US 8,903,479 B2
• Filed: 07/12/2012
• Issued: 12/02/2014
• Est. Priority Date: 06/19/2012
• Status: Active Grant

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Zoicas, Vasile
• Primary Examiner(s): Porter, Jr., Allen
• Application Number:
  US13/548,175
• Publication Number:
  US 20130338518A1
• Time in Patent Office: 873 Days
• Field of Search: 600/509, 600/515, 600/516, 600/518, 600/521, 600/523
• US Class Current: 600/516
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F

Abstract

ECG data may be processed in a mobile device by receiving a stream of filtered ECG data samples comprising PQRST pattern cycles. An R point of a PQRST pattern in the filtered ECG data is determined. A portion of samples is selected from the filtered ECG data surrounding the R point. QRS duration of the PQRST pattern is then determined by processing the selected portion of samples using an application program executed by the mobile device.

Claims

1. A system comprising:

an analog front end module configured to collect ECG data from one or more leads and

operable to convert the analog ECG data to digital ECG data; and

a mobile device coupled to receive the digital ECG data;

wherein the analog front end is operable to;

receive a stream of raw ECG data samples comprising PQRST pattern cycles; and

filter the raw ECG data to form filtered ECG data to minimize baseline wander; and

wherein the mobile device is configured to;

determine an R point of a PQRST pattern in the filtered ECG data;

select a portion of samples from the filtered ECG data surrounding the R point;

normalize the portion of samples to a baseline;

determine a rising inflection point and a falling inflection point by taking a first derivative of the normalized portion of samples;

produce a first straight line function from a maximum one of the normalized portion of samples and the rising inflection point;

produce a second straight line function from the maximum one of the normalized portion of samples and the falling inflection point; and

derive the QRS duration from a difference in time between an intersection of the baseline and the first straight line function and an intersection of the base line and the second straight line function.

2. The system of claim 1, the mobile device further configured to:

apply a non-linear function to the normalized portion of samples prior to determining the rising and falling inflection points to form a reduced noise portion of samples; and

project the rising and falling inflection points from the reduced noise portion of samples onto the normalized portion of samples for producing the first and second straight line functions.

3. The system of claim 2, wherein the non-linear function is x^N for each sample x of the normalized portion of samples;

and

wherein the mobile device is further configured to scale the QRS duration by a scale factor Z, wherein Z is a function of N.

4. The system of claim 1, wherein the mobile device is further configured to perform an M factor interpolation of the portion of samples prior to normalizing the portion of samples.

5. The system of claim 1, wherein selecting a portion of samples comprises selecting a sequence of samples around the R point over a time period that is less than half of the cycle time of the PSRST pattern cycle.

6. The system of claim 1, further comprising providing an alert via a user interface on the mobile device when the QRS duration exceeds a threshold value.

7. The system of claim 1, wherein the mobile device is a smart phone.