Title :
Adaptive spatio-temporal filtration of bioelectrical signals
Author :
Östlund, N. ; Wiklund, U. ; Yu, J. ; Karlsson, J.S.
Author_Institution :
Dept. of Biomedical Eng. & Informatics, Univ. Hosp., Umea
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
Keywords :
adaptive filters; electrocardiography; electromyography; independent component analysis; medical signal processing; obstetrics; spatiotemporal phenomena; ECG; EMG; ICA; MUAP train patterns; adaptive spatiotemporal filtration; bioelectrical signals; electrocardiography; electromyography; fetus; independent component analysis; motor unit action potential; signal decomposition; Bioelectric phenomena; Biomedical engineering; Electrocardiography; Electrodes; Electromyography; Fetus; Filters; Filtration; Hardware; Pregnancy; Adaptive filter; ECG, EMG;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615854
