Detection and delineation of P and T waves in 12‐lead electrocardiograms

Abstract

This paper presents an efficient method for the detection and delineation of P and T waves in 12-lead electrocardiograms (ECGs) using a support vector machine (SVM). Digital filtering techniques are used to remove power line interference and baseline wander. An SVM is used as a classifier for the detection and delineation of P and T waves. The performance of the algorithm is validated using original simultaneously recorded 12-lead ECG recordings from the standard CSE (Common Standards for Quantitative Electrocardiography) ECG multi-lead measurement library. A significant detection rate of 95.43% is achieved for P wave detection and 96.89% for T wave detection. Delineation performance of the algorithm is validated by calculating the mean and standard deviation of the differences between automatic and manual annotations by the referee cardiologists. The proposed method not only detects all kinds of morphologies of QRS complexes, P and T waves but also delineates them accurately. The onsets and offsets of the detected P and T waves are found to be within the tolerance limits given in the CSE library.

Can we probe intrinsic CP and T violations and nonunitarity at long baseline accelerator experiments?

“…There can be no CP violation in the two flavour case in vacuum as the unitary matrix in two flavour case can always be made real. In matter with varying density, this need not be the case (for geometric visualization, see [45,46]). Some theoretical consequences of the value of CP violating phase were discussed in [47].…”

Nonstandard interactions spoiling theCPviolation sensitivity at DUNE and other long baseline experiments

“…This makes it challenging to isolate the value of genuine CP violating phase δ in SI case from the fake effects and there are several suggestions to tackle the problem [7,8]. The geometric visualization of CP conservation and CP violation for the two flavour neutrino case was demonstrated in [44,45].…”

Advances in medical decision support systems

“…It is found that this combination offers subsets yielding similar or much better accuracies than using the full set of genes. Mehta et al (2009), in their paper 'Detection and delineation of P and T waves in 12-lead electrocardiograms', present an efficient method for the detection and delineation of P and T waves in 12-lead electrocardiograms using a support vector machine. Digital filtering techniques are used to remove power line interference and baseline wander.…”