The project used data that consisted of EMG recordings from both healthy and post-CVA individuals. The subjects were asked to extend their dominant hand towards different directions in front of them, and the goal was to find parameters that could be used to distinguish between the groups.
The project worked under the assumption that everyday actions (such as walking or gesturing) are constructed from basic muscle activation patterns (called synergies).
These synergies were extracted from the data using matrix factorization techniques, and a standard, “healthy profile” set, was created (based on the data from the healthy group).
It was then used to find dissimilarities between the healthy and post-CVA individuals, and within the healthy group itself.
Eventually, the main parameters that were found were in context with the directional bias of each synergy, and the average activation power of each synergy itself.
Part 2 of project 2970-1-15
Muscle Synergies Control during Hand-Reaching Tasks in Multiple Directions Post-stroke, Frontiers in Computanional Neuroscience, 12 (10), 2018.,