可穿戴计算机
背景(考古学)
可穿戴技术
神经科学
计算机科学
分析
数据科学
心理学
人机交互
嵌入式系统
生物
古生物学
作者
Kristina T. Johnson,Rosalind W. Picard
出处
期刊:Neuron
[Elsevier]
日期:2020-10-01
卷期号:108 (1): 8-12
被引量:55
标识
DOI:10.1016/j.neuron.2020.09.030
摘要
Faster, more reliable, and comfortably wearable personal devices are producing data from biosensors on an unprecedented scale. Combined with context and analytics, these signals hold great promise to advance neuroscience via real-world data. Here, we discuss wearable technology broadly and provide specific examples of activity patterns from electrodermal sensors found during sleep, stress, and seizures.
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