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Updated: Apr 30, 2026

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
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睡眠阶段心率变化预测压力严重程度:建立基于机器学习的压力预测模型

Jingjing Fan1, Junhua Mei2, Yuan Yang1

  • 1Department of Cardiology and Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Stress and health : journal of the International Society for the Investigation of Stress
|February 27, 2024
PubMed
概括

智能设备现在可以使用睡眠心率变化 (HRV) 预测压力严重程度. 这项技术为广泛的压力自我查提供了一种新途径,达到80.3%的准确性.

关键词:
心肺连接器是心肺连接器.周期性交替模式的周期性交替模式.心率变化的心率变化.机器学习是机器学习.睡眠的不同阶段.智能设备是一个智能设备.压力就是压力,压力就是压力.

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