Title :
Reduction of ECG precordial leads
Author :
Prauzek, Michal ; Peterek, Tomas ; Penhaker, Marek
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic
Abstract :
The paper describes possibilities of simplifying the measurement set-up for ECG recordings, by reducing the number of leads. The study proposes a technique to reduce the number of measurements or to reconstruct ECG leads by neural networks. The results are encouraging and show how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstruction ECG precordial leads and the algorithm of reconstruction.
Keywords :
electrocardiography; neural nets; ECG precordial leads; neural networks; reconstruction algorithm; Artificial neural networks; Brain modeling; Electrocardiography; Lead; Principal component analysis; Shape; Training; ECG; Neural Network; Precordial Leads; Reconstruction; Spectra;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555640
