Compact and Low-Power Neural Spike Compression Using Undercomplete Autoencodersdoi:10.1109/tnsre.2019.2929081Jameson ThiesAmirhossein AlimohammadIEEEInternational Conference of the IEEE Engineering in Medicine and Biology Society
synergy-based controllers, are reveling to be the most robust.In this work, the authors presented an undercomplete autoencoder (AE) to extract muscles synergies for motion intention detection. The proposed AE topology has been validate with EMG signals acquired from the main upper limb muscles ...