Title :
P and T wave detectionon multichannel ECG using FRI
Author :
Nair, Amrish ; Marziliano, Pina
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This paper proposes a new method for detecting P and T waves in multilead ECG based on the Finite Rate of Innovation(FRI) technique [8]. A simple QRS detection scheme will be presented followed by a novel P and T wave detection algorithm. The novelty here is the modelling of the P and T wave using a Gaussian kernel. Using a 2D wavelet decomposition, the approximation coefficients are windowed based on the QRS locations. The FRI method is then used to identify the Gaussian distribution present in the window which will in turn provide the locations of the P and T wave. This method was tested on more than an hour of clean and noisy data and shows good performance in the noisy case.
Keywords :
electrocardiography; medical signal detection; medical signal processing; wavelet transforms; 2D wavelet decomposition; FRI technique; Gaussian kernel; P wave detection algorithm; QRS detection scheme; QRS location; T wave detection algorithm; approximation coefficients; finite rate of innovation; multichannel ECG; Approximation methods; Electrocardiography; Equations; Heart rate; Noise measurement; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944072