1 / 9

Determining limits of P and T wave in ECG waveform

Determining limits of P and T wave in ECG waveform. By Ashwin Panchbhai Sudheer Poojary. Objective. Study/Implement an adaptive algorithm to determine limits of P and T wave. The following criteria dictate the use of an adaptive algorithm Oscillations in the baseline of the typical ECG.

kiona-oneal
Download Presentation

Determining limits of P and T wave in ECG waveform

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Determining limits of P and T wave in ECG waveform By Ashwin Panchbhai Sudheer Poojary

  2. Objective • Study/Implement an adaptive algorithm to determine limits of P and T wave. • The following criteria dictate the use of an adaptive algorithm • Oscillations in the baseline of the typical ECG. • Adoption of different criteria among cardiologists.

  3. Approach: • In the filtered ECG, the end of T wave is near to the minimum • Using Adaptive filtering, this minimum is shifted to the location of end of the T wave.

  4. The transfer function for the filter is given by E(z)/P(z) = (1 + z-1)/(1 – (1 – m).z-1) where m is the adaptation constant. • The initial value of m is determined by the cardiologist’s criterion. • Using this initial value, filtering is carried out which gives new value of m .

  5. Contd… • After second filtering, the points where the derivative of error signal is zero gives the desired limits for T wave. • Assumptions made : • The sampling rate is large enough so that m is sufficiently small. • In the segments from peak of T wave to the limits of T wave, the derivatives of close samples are similar.

  6. Mathematical development e(n) – b.e(n-1) = ecg(n)–ecg(n-1) e’(n) = (b-1).e(n-1) + d(n) d(n) = derivative of the ecg signal e’(n) is equated to 0 to give minimum which gives m = d(n)/e(n-1) From the recursive equation for d(n) we get the time constant for the exponential averaging as t = 1 / m

  7. contd … • In the segments from the peak of T to the limits of the wave, the derivative of ecg signal (close symbols) are similar. • d(n) ≈ d(n-r-1) 0≤r≤N • Hence we can have an approximation of m by making t = N • Hence first approximation is- m ≈ 1/N • The cardiologist marks the limit of T wave which is used in determining N.

  8. References • Application of Adaptive Signal Processing for Determining the Limits of P and T Waves in an ECG Emilio Soria-Olivas, Marcelino Martinez-Sober,Javier Calpe-Maravilla,Juan Francisco Guerrero-Martınez, Javier Chorro-Gasco, and Jose Espı-Lopez.

More Related