Title: COMBINING BLIND SOURCE SEPARATION AND EMPIRICAL MODE DECOMPOSITION APPLIED TO SOURCE SEPARATION FROM SINGLE CHANNEL BIOMEDICAL SIGNALS

Year of Publication: Jun - 2012
Page Numbers: 168-173
Authors: N. Abdolmaleki, M. Pooyan
Conference Name: The International Conference on Informatics and Applications (ICIA2012)
- Malaysia

Abstract:


Nowadays, Blind Source Separation (BSS) techniques are very common and useful in signal processing. In the field of multichannel recording, there are many techniques of BSS that work accurately, but in the single channel measurement, only a few methods are existed. One of the much popular algorithms of BSS is Independent Component Analysis (ICA). This technique is applied to separate the independent component from multi channel measurements. In this paper, we proposed two new algorithm that called Automated EE-ICA and EE-ICA with post processing, these methods are based on combination the Empirical Mode Decomposition (EMD) and ICA in a new manner and for separating the sources from single channel measurement then we will investigated accuracy of our methods in source separation in biomedical signals.