Adaptive spatio-temporal filtration of bioelectrical signals

N Ostlund; U Wiklund; J Yu; J Karlsson

doi:10.1109/IEMBS.2005.1615854

Adaptive spatio-temporal filtration of bioelectrical signals

Conf Proc IEEE Eng Med Biol Soc. 2005:2005:5983-6. doi: 10.1109/IEMBS.2005.1615854.

Authors

N Ostlund¹, U Wiklund, J Yu, J Karlsson

Affiliation

¹ Department of Biomedical Engineering & Informatics, University Hospital, Umeå, Sweden.

PMID: 17281624
DOI: 10.1109/IEMBS.2005.1615854

Abstract

In this paper we show how independent component analysis (ICA) algorithms can be used to perform spatio-temporal filtration of electromyographic (EMG) and electrocardiographic (ECG) signals. The technique was used to decompose the EMG signals into motor unit action potential (MUAP) trains. From the 88 outputs of the adaptive spatio-temporal filtration, three groups of different MUAP train patterns were found. The technique was also used to obtain a fetus' ECG and showed better result compared to using ICA.