New deep learning model can accurately identify sleep stages
新的深度学习模型可以准确识别睡眠阶段
A new deep learning model developed by researchers at the University of Eastern Finland can identify sleep stages as accurately as an experienced physician. This opens up new avenues for the diagnostics and treatment of sleep disorders, including obstructive sleep apnea.
东芬兰大学研究人员开发了一种新的深度学习模式，可以像经验丰富的医生一样准确地识别睡眠阶段。这为诊断和治疗包括阻塞性睡眠呼吸暂停在内的睡眠障碍开辟了新的途径。
Obstructive sleep apnea (OSA) is a nocturnal breathing disorder that causes a major burden on public health care systems and national economies. It is estimated that up to one billion people worldwide suffer from obstructive sleep apnea, and the number is expected to grow due to population