Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Neuron. 2020 Oct 14;108(1):8-12. doi: 10.1016/j.neuron.2020.09.030.
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.
更快、更可靠、更舒适的个人可穿戴设备正在以前所未有的规模从生物传感器产生数据。这些信号与上下文和分析相结合,通过真实世界的数据为推进神经科学提供了巨大的潜力。在这里,我们广泛讨论了可穿戴技术,并提供了在睡眠、压力和癫痫发作期间从皮肤电传感器发现的活动模式的具体示例。