Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

© 2003 IEEE. In dystonia rhythmic activity and sustained hypertonic activity are often superimposed in the electromyograms (EMG) of affected muscles. We have used discrete wavelet transform (DWT) to decompose the EMG so that co-contraction between the agonist and antagonist muscles and functional coupling between EMG and local field potentials (FPs) in the internal globus pallidus could be detected. Using multiresolution analysis, the envelope frequency of EMG bursts was better determined by filtering between 50-200 Hz followed by rectification. This enhanced our ability to detect coherence between bursts in the EMG and local FPs recorded from the internal globus pallidus. Thus multiresolution analysis based on DWT is effective for detecting rhythmic EMG bursts in the time domain; and this increases signal-noise ratio for estimating coherence.

Original publication




Conference paper

Publication Date





360 - 363