Title :
Online exercise ECG signal orthogonalization
Author :
Acar, Rurak ; Köymen, Hayrettin
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Abstract :
An efficient method of making use of the redundancy in standard 12 lead ECG signals to eliminate noise is described. The method is based on orthogonalization via online singular value decomposition (SVD). Its application as a filter to remove EMG noise and baseline wander are explained. A comparative study of ST analysis results of original and processed exercise ECG data is reported.
Keywords :
electrocardiography; medical signal processing; singular value decomposition; EMG noise; ST analysis; baseline wander; efficient method; filter; noise elimination; online exercise ECG signal orthogonalization; online singular value decomposition; redundancy; standard 12 lead ECG signals; Cardiology; Cloning; Detection algorithms; Electrocardiography; Interference; Noise figure; Noise level; Signal mapping; Testing;
Conference_Titel :
Computers in Cardiology, 1996
Conference_Location :
Indianapolis, IN, USA
Print_ISBN :
0-7803-3710-7
DOI :
10.1109/CIC.1996.542517
