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机器学习方法的比较分析用于用线性加速和角速率信号检测胎儿运动

Lucy Spicher1, Carrie Bell2, Kathleen H Sienko1

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括

使用可穿戴传感器持续监测胎儿运动,有望改善产前护理. 机器学习模型有效地从线性加速和角速率数据中检测到胎儿运动,增强胎儿健康评估.

关键词:
双向长时间短期记忆 (BiLSTM)卷积神经网络 (CNN) 是一种神经网络.胎儿监测 胎儿监测是指对胎儿进行监测.惯性测量单位 (IMU) 是指惯性测量单位.随机森林 (RF) 是一个随机的森林.频谱图是指光谱图中的光谱.时间频率分析可以穿戴的传感器.

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