Adaptive spatio-temporal filtration of bioelectrical signals
2005 (English)In: Proceedings of The 27th Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society, New York: IEEE Press, 2005, 5983-5986 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
New York: IEEE Press, 2005. 5983-5986 p.
, Proceedings of annual international conference of the IEEE engineering in medicine and biology society, ISSN 1094-687X
Adaptive filter, ECG, EMG
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:umu:diva-63714DOI: 10.1109/IEMBS.2005.1615854ISI: 000238998405102ISBN: 0-7803-8740-6OAI: oai:DiVA.org:umu-63714DiVA: diva2:582436
The 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Shanghai, China, Aug 31-Sept 03, 2005