Device for measuring heart rate and blood oxygen saturation equipment based on depth learning
A technology of measurement equipment and deep learning network, applied in the field of heart rate and blood oxygen saturation measurement equipment, can solve the problems of inaccurate measurement results, and achieve the effect of speeding up the calculation speed, improving the accuracy rate, and good tolerance
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[0030] The heart rate and blood oxygen saturation measurement device proposed by the present invention includes a PPG signal processing unit, which contains a deep learning network model, and the heart rate and blood oxygen saturation are predicted by means of the deep learning network model, such as Figure 1 to Figure 3 As shown, the deep learning network model adopts a multi-task learning method, that is, the two prediction tasks share the convolutional layer, and use different fully connected layers for the final prediction. The model structure is a sequentially connected five-layer convolutional neural network layer. , there is a gated linear unit between the convolutional neural network layers, and the formula of the gated linear unit is as follows:
[0031] H=A*sigmoid(B)
[0032] Where H is the output, and A and B are half the number of channels of the input. The form of multiplication is point-by-point multiplication. Using such a gated linear unit simplifies gradie...
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