透视图(图形)
智能手表
互联网
医学
数字健康
互联网隐私
神经学
领域(数学)
人机交互
数据科学
计算机科学
万维网
医疗保健
可穿戴计算机
人工智能
精神科
嵌入式系统
经济
纯数学
经济增长
数学
出处
期刊:Seminars in Neurology
[Thieme Medical Publishers (Germany)]
日期:2022-01-11
卷期号:42 (01): 048-059
被引量:21
标识
DOI:10.1055/s-0041-1741495
摘要
Internet-connected devices, including personal computers, smartphones, smartwatches, and voice assistants, have evolved into powerful multisensor technologies that billions of people interact with daily to connect with friends and colleagues, access and share information, purchase goods, play games, and navigate their environment. Digital phenotyping taps into the data streams captured by these devices to characterize and understand health and disease. The purpose of this article is to summarize opportunities for digital phenotyping in neurology, review studies using everyday technologies to obtain motor and cognitive information, and provide a perspective on how neurologists can embrace and accelerate progress in this emerging field.
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