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A face-based neural network blood pressure prediction method and mobile phone

A neural network and BP neural network technology, which is applied in the fields of medical health, machine learning and mobile Internet, can solve the problem of low accuracy of long-term prediction and achieve the effect of convenient and high accuracy in predicting blood pressure

Active Publication Date: 2018-05-25
广州华见智能科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

Both are based on historical data and forecasted by time series method, which is not very accurate for long-term forecasting

Method used

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  • A face-based neural network blood pressure prediction method and mobile phone
  • A face-based neural network blood pressure prediction method and mobile phone
  • A face-based neural network blood pressure prediction method and mobile phone

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0078] Implementation case 1, the blood pressure prediction model adopts the BP neural network blood pressure prediction model. Such as figure 2 As shown, it is an implementation example of the network structure of the BP neural network prediction model. The steps of training the BP neural network blood pressure prediction model are as follows:

[0079] 1) Prepare training samples, the input of each sample is a face feature vector, and the face feature vector in this case is a three-dimensional feature vector (x 1 ,x 2 , x 3 ), the output is the corresponding systolic blood pressure, diastolic blood pressure and pulse rate, forming a three-dimensional output vector (z 1 ,z 2 , z 3 ).

[0080] 2) Determine the BP network structure, that is, determine the number of layers of the middle layer and the number of neurons of each middle layer, the number of neurons of the input layer is the dimension of the face feature vector, and the face feature vector dimension of this imp...

Embodiment example 2

[0090] In the implementation case 2, the blood pressure prediction model adopts the integrated neural network blood pressure prediction model, and the weak blood pressure prediction model adopts the BP neural network blood pressure prediction model in the implementation case 1.

[0091] The training steps of the integrated neural network blood pressure prediction model are as follows:

[0092] 1) Prepare training sample set , where N=1000 is the input face feature vector, is the output vector: (systolic, diastolic, pulse rate).

[0093] 2) Calculate training samples The selection probability of is P( i )=1 / 1000, the number of iterations t=1, .

[0094] 3) Perform the following steps 10 times in a loop:

[0095] [1] According to the selection probability of each sample, a local training set is generated by sampling from the training set S with playback;

[0096] [2] Train the BP neural network blood pressure prediction model on the local training set to obtain the ...

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Abstract

The invention discloses a neural network blood pressure prediction method based on a human face. The based on human face is characterized by comprising the following steps: capturing a human face image; constructing a human face feature vector; predicting the blood pressure value of the human face image by a BP neural network prediction model and an integrated neural network prediction model. The invention further discloses a neural network blood pressure prediction mobile phone based on the human face. The neural network blood pressure prediction mobile phone comprises a mobile phone camera control module, a human face image capturing module, a human face image feature vector construction module, a blood pressure prediction module, an abnormal blood pressure pre-warning module, a blood pressure file management module and a blood pressure model learning module. The neural network blood pressure prediction method and mobile phone have the benefits that the blood pressure prediction effect is good, the mobile phone is simple and easy to use, the user can know the blood pressure pre-warning condition in real time, and diagnosis references can be provided for the doctors.

Description

technical field [0001] The method relates to a face-based neural network blood pressure prediction method and a mobile phone, and belongs to the technical fields of medical health, machine learning and mobile Internet. Background technique [0002] With the improvement of people's living standards and the aging of society, the number of hypertensive patients is increasing year by year, especially the fast-paced work often makes people neglect the dangers of high blood pressure, and even do not know when they have changed For this reason, long-term and timely monitoring of blood pressure can help early diagnosis and prevention of hypertensive diseases, greatly reduce the incidence rate, and greatly reduce the medical cost of patients. However, the existing blood pressure measurement equipment is inconvenient to carry. For example, it is not convenient to carry a blood pressure monitor during a business trip, and the measurement is often forgotten. Simultaneously, the results...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G16H50/30
Inventor 不公告发明人
Owner 广州华见智能科技有限公司
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