Multichannel Blind Source Separation Using Convolution Kernel Compensation

By Ales Holobar, D. Zazula. IEEE Transactions on Signal Processing, 2007

574 citations recorded by the source corpus.

Subfields: Computational Mechanics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/de559acb28d704f464ea94d830fa2b8bbbf15729

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Dario Farina
2. Roberto Merletti
3. Roger M. Enoka
4. Ales Holobar

In Signal Processing

1. Dario Farina
2. Roger M. Enoka
3. Roberto Merletti
4. Ales Holobar
5. Bernhard Graimann

Citations in the corpus

• The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014, background): “of motor neurons has been proven to be possible [90].”
• Decoding the neural drive to muscles from the surface electromyogram. (2010, methodology): “channel surface EMG signal was decomposed (Holobar and Zazula, 2007) to identify 18 m”
• The extraction of neural strategies from the surface EMG: an update. (2014, unknown): “Among the methods developed to decompose a surface EMG signal, only the approach developed by Holobar and Zazula (51) and subsequently extended (54, 55) has been validated systematically.”