DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines

Na Lu, Tengfei Li, Xiaodong Ren et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2016 · 426 citations

Computing, Computer Science, Neuroscience +17

LSTM-Based EEG Classification in Motor Imagery Tasks

Ping Wang, Aimin Jiang, Xiaofeng Liu et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2018 · 365 citations

Computing, Computer Science, Electrical Engineering +17

A convolutional neural network for steady state visual evoked potential classification under ambulatory environment

No-Sang Kwak, Klaus‐Robert Müller, Seong‐Whan Lee · PLoS ONE · 2017 · 286 citations · Full text

Computing, Computer Science, Neuroscience +17

Upper limb movements can be decoded from the time-domain of low-frequency EEG

Patrick Ofner, Andreas Schwarz, Joana Pereira et al. · PLoS ONE · 2017 · 252 citations · Full text

Education, Neuroscience, Motor Control +16

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

Zhiwen Zhang, Feng Duan, Jordi Solé‐Casals et al. · IEEE Access · 2019 · 193 citations · Full text

Computing, Computer Science, Neuroscience +17