TY - GEN
T1 - Single channel blind source separation based local mean decomposition for Biomedical applications
AU - Guo, Yina
AU - Naik, Ganesh R.
AU - Nguyen, Hung
PY - 2013
Y1 - 2013
N2 - Single Channel Blind Source Separation (SCBSS) is an extreme case of underdetermined (more sources and fewer sensors) Blind Source Separation (BSS) problem. In this paper, we propose a novel technique using Local Mean Decomposition (LMD) and Independent Component Analysis (ICA) combined with single channel BSS (LMD-ICA). First, the LMD was used to decompose the single channel source into a series of data sequences, which are called as Product Functions (PF), then, ICA algorithm was used to process PFs to get similar independent components and extract the original signals. A comparison was made between LMD-ICA and previously proposed single channel ICA method (EEMD-ICA). The real time experimental results demonstrated the advantage of the proposed single channel source separation method for artifact removal and in biomedical source separation applications.
AB - Single Channel Blind Source Separation (SCBSS) is an extreme case of underdetermined (more sources and fewer sensors) Blind Source Separation (BSS) problem. In this paper, we propose a novel technique using Local Mean Decomposition (LMD) and Independent Component Analysis (ICA) combined with single channel BSS (LMD-ICA). First, the LMD was used to decompose the single channel source into a series of data sequences, which are called as Product Functions (PF), then, ICA algorithm was used to process PFs to get similar independent components and extract the original signals. A comparison was made between LMD-ICA and previously proposed single channel ICA method (EEMD-ICA). The real time experimental results demonstrated the advantage of the proposed single channel source separation method for artifact removal and in biomedical source separation applications.
UR - http://www.scopus.com/inward/record.url?scp=84886504669&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2013.6611121
DO - 10.1109/EMBC.2013.6611121
M3 - Conference contribution
C2 - 24111308
AN - SCOPUS:84886504669
SN - 9781457702167
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 6812
EP - 6815
BT - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Y2 - 3 July 2013 through 7 July 2013
ER -