A new algorithm for kinematic analysis of handwriting data; towards a reliable handwriting-based tool for early detection of alzheimer's disease

作者：

Highlights：

• An efficient measure of handwriting data is presented for early detection of AD.

• Singular value decomposition and sparse coding methods are successfully developed.

• The effect of the proposed method is evaluated on the variety of time profiles.

• The feasibilities of single task compared with dual-task conditions are explored.

摘要

•An efficient measure of handwriting data is presented for early detection of AD.•Singular value decomposition and sparse coding methods are successfully developed.•The effect of the proposed method is evaluated on the variety of time profiles.•The feasibilities of single task compared with dual-task conditions are explored.

论文关键词：Alzheimer's disease,Mild cognitive impairment,Handwriting data,Dual-task,Singular value decomposition,Sparse non-negative least-square classifier

论文评审过程：Received 23 April 2018, Revised 24 July 2018, Accepted 25 July 2018, Available online 27 July 2018, Version of Record 6 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.052