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机译:电极构造对识别电力信号的子宫收缩的影响:使用卷积神经网络分析
Beijing Univ Technol Fac Environm & Life Sci Beijing Int Platform Sci & Technol Cooperat Intelligent Physiol Measurement & Clin Translat Beijing Peoples R China;
Beijing Univ Technol Fac Environm & Life Sci Beijing Int Platform Sci & Technol Cooperat Intelligent Physiol Measurement & Clin Translat Beijing Peoples R China;
Beijing Univ Technol Fac Environm & Life Sci Beijing Int Platform Sci & Technol Cooperat Intelligent Physiol Measurement & Clin Translat Beijing Peoples R China;
Shandong Prov Qianfoshan Hosp Dept Obstet Jinan Peoples R China;
Beijing Univ Technol Fac Environm & Life Sci Beijing Int Platform Sci & Technol Cooperat Intelligent Physiol Measurement & Clin Translat Beijing Peoples R China;
Beijing Yes Med Devices Co Ltd Beijing Peoples R China;
Beijing Haidian Maternal & Children Hlth Hosp Beijing Peoples R China;
Coventry Univ Fac Hlth & Life Sci Ctr Intelligent Healthcare Priory St Coventry CV1 5FB W Midlands England;
convolutional neural network; electrode configuration; electrohysterogram; uterine contraction;
机译:卷积神经网络识别子宫凹陷的卷积神经网络评价
机译:收缩图:使用电力信号标记来可视化子宫收缩演化的方法
机译:用于宫缩监测的子宫电图记录系统的开发
机译:用子宫电波图估计用于识别子宫收缩的8电极构型
机译:结合卷积神经网络和图形神经网络的图像分类
机译:高效电力图段识别卷积神经网络的子宫收缩的初步研究
机译:基于零交叉速率自动识别与电台式信号的子宫收缩
机译:从电子真皮图检测子宫收缩的算法。