As interests in implantable devices and bio-electrical systems grow, intelligent embedded systems become important for extracting useful information from continuous-valued, noisy and drifting biomedical signals at sensory interfaces. Probabilistic generative models utilise stochasticity to represent the natural variability of real data, and therefore suggest a potential approach to this applica...