Parkinson’s Disease EMG Signal Prediction Using Neural Networks

1 code implementation • 6 Oct 2019 • Rafael Anicet Zanini, Esther Luna Colombini, Maria Claudia Ferrari de Castro

This paper proposes a comparison between different neural network models, using multilayer perceptron (MLPs) and recurrent neural network (RNN) models, for predicting Parkinson's disease electromyography (EMG) signals, to anticipate resulting resting tremor patterns.

EMG Signal Prediction