Detection of Parkinson’s disease from handwriting using deep learning: a comparative study

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Francisco Ordóñez, Daniel Roggen · Sensors · 2016 · 2.5K citations · Full text

Wearable System, Convolutional Neural Network, Engineering +22

Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks

Terry Taewoong Um · mediaTUM (Technical University of Munich) · 634 citations · Full text

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

2017 · 580 citations · Full text

Data Augmentation, Convolutional Neural Network, Machine Vision +14

Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease

Peter Drotár, Jiří Mekyska, Irena Rektorová et al. · Artificial Intelligence in Medicine · 2016 · 324 citations · Full text

Kinesiology, Parkinson Disease, Differential Diagnosis +8

Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

Clayton R. Pereira, Danilo Rodrigues Pereira, Gustavo Henrique de Rosa et al. · Artificial Intelligence in Medicine · 2018 · 192 citations · Full text

Disease Identification, Convolutional Neural Network, Engineering +13