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Deep learning approach for long term, cuffless, and continuous arterial blood pressure estimation
Deep learning approach for long term, cuffless, and continuous arterial blood pressure estimation
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机译:长期,无齿状和连续动脉血压估计的深度学习方法
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摘要
Methods and devices for long term, cuffless, and continuous arterial blood pressure estimation using an end-to-end deep learning approach are provided. A deep learning system comprises three modules: a deep convolutional neural network (CNN) module for learning powerful features; a one- or multi-layer recurrent neural network (RNN) module for modeling the temporal dependencies in blood pressure dynamics; and a mixture density network (MDN) module for predicting final blood pressure value. This system takes raw physiological signals, such as photoplethysmogram and/or electrocardiography signals, as inputs and yields arterial blood pressure readings in real time.
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