Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
作者：
Highlights：
• A deep learning approach to cope with Parkinson's disease (PD) diagnosis.
• Handwritten dynamics to assess PD diagnosis.
• Promising and accurate results.
• An extensive experimental evaluation is conducted.
• New insights about future research concerning automatic PD identification.
摘要
•A deep learning approach to cope with Parkinson's disease (PD) diagnosis.•Handwritten dynamics to assess PD diagnosis.•Promising and accurate results.•An extensive experimental evaluation is conducted.•New insights about future research concerning automatic PD identification.
论文关键词：Parkinson's disease,Convolutional neural networks,Handwritten dynamics
论文评审过程：Received 20 July 2017, Revised 5 April 2018, Accepted 7 April 2018, Available online 16 April 2018, Version of Record 28 May 2018.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.04.001
