Title :
Independent Component Approach for the Analysis of ECG Signals
Author :
Nimitha, U. ; Supriya, P.
Author_Institution :
Dept of EEE, Amrita Vishwa Vidyapeetham, Coimbatore, India
Abstract :
Automated analysis of electrocardiogram (ECG) has got great attention for cardiac diagnosis in the recent years. This paper describes two different ECG analysis algorithms using Independent Component Analysis (ICA) algorithm. ICA refers to set of algorithms for blind source separation (BSS). The underlying principle is to separate N signals from a mix of different source contributions, into signals of independent components. The simulation is proposed to be done in MATLAB.
Keywords :
adaptive signal processing; blind source separation; electrocardiography; independent component analysis; maximum entropy methods; medical signal processing; patient diagnosis; ECG signal analysis; MATLAB; blind source separation; cardiac diagnosis; electrocardiogram; equivariance adaptive separation; independent component analysis; maximum entropy ICA; Algorithm design and analysis; Electrocardiography; Entropy; Independent component analysis; Signal processing algorithms; Source separation;
Conference_Titel :
Process Automation, Control and Computing (PACC), 2011 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-61284-765-8
DOI :
10.1109/PACC.2011.5979049
