On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
作者：
Highlights：
• A global overview of AD is given and a taxonomy of its symptoms is presented.
• Cognitive, psychological, physiological and behavioural AD symptoms’ measurements are reviewed.
• AD detection accuracy achieved up-to-date with signals and measurements of different modalities is reported.
• Research gaps of the current state of the art in early AD detection are highlighted.
• Useful tools for AD research are summarized, as well as some common issues of real-world multimodal databases.
摘要
Highlights•A global overview of AD is given and a taxonomy of its symptoms is presented.•Cognitive, psychological, physiological and behavioural AD symptoms’ measurements are reviewed.•AD detection accuracy achieved up-to-date with signals and measurements of different modalities is reported.•Research gaps of the current state of the art in early AD detection are highlighted.•Useful tools for AD research are summarized, as well as some common issues of real-world multimodal databases.
论文关键词：Multimodality,Behaviour,Physiology,Alzheimer's Disease,Early detection
论文评审过程：Received 29 February 2016, Revised 23 May 2016, Accepted 7 June 2016, Available online 23 June 2016, Version of Record 29 June 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.06.003
