The electromyography (EMG) signal has proven to be useful in bio-mechanical and locomotive motion studies, as a human-machine interface, and in studies in exercise science. These applications all use the EMG signal to identify and quantify muscle activations while the body is in motion. However, it is this motion that causes one of the main sources of noise in an EMG signal recording, and it appears in the EMG signal as movement artifacts. These are caused by the relative motion of the recording electrodes against the skin.
The traditional solution to address this type of noise is to apply analogue or digital signal filters to remove it, but depending on the frequency this can be difficult to do without removing important information from the signal itself. The aim of this project is to develop thin, flexible and self-adhering sensors that move with the skin surface, resulting in less relative motion and fewer movement artifacts in the EMG signal. This will involve working in the Department's Microfabrication Lab to develop the required sensors and some of the electronics needed to acquire and process the signal.
Undergraduate
Develop a prototype electrodes.
Experimental results to validate the preformance of electrodes.
None
Microfabrication Lab (201.406B and 201.406, Lab)