Using echo state networks for classification: A case study in Parkinson's disease diagnosis

作者：

Highlights：

• Early diagnosis of Parkinson's disease is essential to effective treatment.

• Echo state networks facilitate classification from simple movement tasks.

• Rapid fitting of echo state networks proves advantageous for applied systems.

• Appropriate data pre-processing enhances classification accuracy.

摘要

•Early diagnosis of Parkinson's disease is essential to effective treatment.•Echo state networks facilitate classification from simple movement tasks.•Rapid fitting of echo state networks proves advantageous for applied systems.•Appropriate data pre-processing enhances classification accuracy.

论文关键词：Parkinson's disease,Echo state networks,Neurodegenerative disease

论文评审过程：Received 12 July 2017, Revised 1 February 2018, Accepted 8 February 2018, Available online 21 February 2018, Version of Record 6 March 2018.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.02.002