Dementia and Alzheimer's Disease (AD) represent a health emergency. The identification of valid and noninvasive markers to identify people with Mild Cognitive Impairment (MCI) is profoundly advocated.

This review outlines the use of quantitative Motor and Cognitive Dual-Task (MCDT) on MCI, by technologies aid. We describe the framework and the most valuable researches, displaying the adopted protocols, and the available technologies. PubMed Central, Web of Science, and Scopus were inspected between January 2010 and May 2020. 1939 articles were found in the initial quest. Exclusion criteria allowed the selection of the most relevant papers; 38 papers were included. The articles, regarding four technological solutions ”wearable sensors”, ”personal devices”, ”optokinetic systems”, and ”electronic walkways”, are organized into three categories: ”Quantitative MCDT”, ”MCDT Inspired by Neuropsychological Test”, and ”MCDT for MCI Stimulation”.

MCDT might furnish clinical landmarks, supplying aid for disease stratication, risk prediction, and intervention optimization. Such protocols could foster the use of data mining and machine learning techniques. Notwithstanding, there is still a need to standardize and harmonize such protocols.

痴呆症和阿尔茨海默病 (AD) 代表着健康紧急情况。大力提倡识别有效和非侵入性的标志物来识别轻度认知障碍 (MCI) 的人。

本综述概述了通过技术辅助在 MCI 上使用定量运动和认知双任务 (MCDT)。我们描述了框架和最有价值的研究，展示了采用的协议和可用的技术。PubMed Central、Web of Science 和 Scopus 在 2010 年 1 月至 2020 年 5 月期间接受了检查。在最初的调查中发现了 1939 篇文章。排除标准允许选择最相关的论文；收录论文38篇。有关“可穿戴传感器”、“个人设备”、“光动系统”和“电子走道”四种技术解决方案的文章分为三类：“定量 MCDT”、“受神经心理学测试启发的 MCDT”和“MCDT”用于 MCI 刺激”。

MCDT 可能提供临床标志，为疾病分层、风险预测和干预优化提供帮助。这样的协议可以促进数据挖掘和机器学习技术的使用。尽管如此，仍然需要标准化和协调这些协议。