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Found 2 papers, 2 papers with code
Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer
This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson’s Disease (PD) electromyography (EMG) signals.
Parkinson’s Disease EMG Signal Prediction Using Neural Networks
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.
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