Title :
Identifying cortical sources of corticomuscle coherence during bimanual muscle contraction by temporal decorrelation
Author :
Vigário, Ricardo ; Jensen, Ole
Author_Institution :
Neural Networks Res. Centre, Helsinki Univ. of Technol., Finland
Abstract :
Strong coherence around 20 Hz is known to exist between the magnetoencephalogram (MEG) recording the primary motor cortex and the contralateral electromyogram (EMG) during isometric muscle contraction. Here we apply a temporal decorrelation technique to identify the underlying brain areas producing signals coherent with the EMG. The algorithm chosen, the temporal decorrelation source separation (TDSEP). exploits efficiently the temporal structure present in the data.
Keywords :
blind source separation; decorrelation; electromyography; magnetoencephalography; medical signal processing; 20 Hz; bimanual muscle contraction; contralateral electromyogram; cortical sources; corticomuscle coherence; magnetoencephalogram recording; temporal decorrelation source separation; Biological neural networks; Brain; Decorrelation; Electromyography; Independent component analysis; Magnetic analysis; Magnetic separation; Muscles; Signal processing; Source separation;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224827