Figure 2.

Scheme of the algorithms used to process the LIFE motor signals and to identify the desired class of movement. The signals recorded were denoised. This is necessary and quite useful for the commonly quite low signal-to-noise ratio of the LIFE signals [21]. The classes of spikes extracted from the LIFE signals were used as inputs for an SVM classifier able to identify the desired voluntary activity. Results about sensory feedback experiments based on electrical stimulation of afferent nerve fibers are reported in [24].