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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

Active Publication Date: 2018-12-21
天津惊帆科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of factors such as the skin color of the measurement site, temperature, fat and thin, and ambient light, the collected PPG signal often has a lot of noise, resulting in inaccurate measurement results

Method used

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  • Device for measuring heart rate and blood oxygen saturation equipment based on depth learning
  • Device for measuring heart rate and blood oxygen saturation equipment based on depth learning
  • Device for measuring heart rate and blood oxygen saturation equipment based on depth learning

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Embodiment Construction

[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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PUM

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Abstract

PPG is photo plethyamo graphy, which is characterized in that LED light is emitted to skin, a photosensitive sensor is used for receiving the light reflected from the skin tissue after being absorbedby the skin tissue or transmitting the skin, and the electric signal obtained by the photosensitive sensor is converted into a digital signal so as to obtain the final PPG signal. Due to the differentabsorption characteristics of oxygenated hemoglobin and hemoglobin, a prior method uses light with two wavelengths to respectively measure the intensity of the reflected light alternating current signal, and then calculates the proportion of the oxygenated hemoglobin and hemoglobin according to the absorption characteristic diagram of the two beams of light. The invention provides a device for measuring the heart rate and the blood oxygen saturation based on depth learning and PPG signals, which is used for obtaining two paths of PPG signals by using two beams of light, and meanwhile, the PPGsignals are processed through a depth learning network model in the device, thereby predicting the heart rate and blood oxygen saturation of a human body. The device has good tolerance to noise, andcan accurately measure the heart rate and the blood oxygen in a resting state or a motion state.

Description

technical field [0001] The invention relates to the field of heart rate and blood oxygen saturation measuring equipment, in particular to a heart rate and blood oxygen saturation measuring device based on deep learning and PPG signals. Background technique [0002] Heart rate is an important indicator to measure the health status of the human body, and it can objectively reflect the working state of the human heart. Detecting the heart rate can detect the health status of the human body, prevent cardiovascular diseases, and can also evaluate the exercise state during exercise. ECG signal, pulse sensor signal, PPG signal, etc. can be used to detect human heart rate. Since ECG signals and pulse sensors are inconvenient to wear and are easily affected by exercise, PPG signals have become the most effective method for portable heart rate measurement. In addition, according to the different absorption coefficients of oxyhemoglobin and hemoglobin on light waves, the PPG signal c...

Claims

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Application Information

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IPC IPC(8): A61B5/024A61B5/1455
CPCA61B5/02416A61B5/14551A61B5/72A61B5/7264
Inventor 张进东丁立明崔久莉刘文江刘金海
Owner 天津惊帆科技有限公司
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