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Updated: Sep 18, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

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使用智能床与最佳分布的三轴加速仪阵列和并行卷积时空网络进行不显眼的睡眠姿势检测

Zhuofu Liu1, Gaohan Li1, Chuanyi Wang1

  • 1The Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

这项研究引入了一种新的非接触式系统,用于使用加速度计和一种新的深度学习模型准确检测睡眠姿势. 该系统有效地识别了六种睡眠姿势,有助于健康监测和预防压力等并发症.

关键词:
深度学习模块深度学习模块密度峰值聚类算法密度峰值聚类算法非接触式检测检测器平行卷积的时空网络.睡眠姿势分类的睡眠姿势分类三轴加速度计的三轴加速度计

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