Non-contact blood pressure measuring equipment based on face video
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A blood pressure measurement device and non-contact technology, applied in the field of face video feature processing, can solve the problems of inconvenience, measurement accuracy impact, accuracy and stability need to be improved, etc., and achieve the effect of efficient detection efficiency
Pending Publication Date: 2021-12-24
西安奇点融合信息科技有限公司
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[0003] However, the measurement accuracy of the traditional method is easily affected by many factors, such as the professional ability of the surveyor, and the height, weight, age, and measurement environment of the measured person, etc.
In the field of blood pressure measurement, traditional measurement equipment is stable, but not easy to carry. PPG signal-based b
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Embodiment 1
[0047] The present invention is achieved through the following technical solutions, such as figure 1 As shown, the non-contact blood pressure measurement device based on face video includes a face video acquisition terminal, a data enhancement module, a spatial feature processing module, and a neural network computing module, wherein:
[0048] The human face video collection module is used to acquire the human face video, and performs ROI area splicing and feature extraction on each frame of the human face video to obtain a feature sequence.
[0049] In detail, the face video acquisition module includes a face video recognition engine, a feature map generation module, and a feature sequence generation module.
[0050] Described face video recognition engine is used to obtain face video, such as the person under test is positioned at before the face video acquisition module, so face video recognition engine can gather the face video of 10s, and extracts each face video in the f...
Embodiment 2
[0076] Based on the basis of embodiment 1, test verification is carried out:
[0077] MMSE-HR: It consists of 102 RGB face videos from 40 testers and the corresponding average HR and BP values. The average frame number of face videos is 25 frames / s, which is used for non-contact HR and BP estimation. public database.
[0078] ASPD: Using Omron blood pressure monitor (OMRON HEM-1020), electromyography (BIOPAC M160) and mobile phone camera to collect physiological data and corresponding face videos of 124 test subjects, each set of data collected 1 min of face For video, the video frame rate is 30 frames / s, and the image resolution is 1920×1080. The distribution of systolic and diastolic blood pressure in the ASPD database is as follows: figure 2 (a), figure 2 As shown in (b), ASPD equipment such as image 3 shown.
[0079] Table 1 shows the results of cross-validation in the ASPD database. ASPD is used as the training set and tested on the MMSE-HR cross-data set. The res...
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Abstract
The invention relates to non-contact blood pressure measuring equipment based on a face video. The non-contact blood pressure measuring equipment comprises a face video acquisition terminal, a data enhancement module, a spatial feature processing module and a neural network calculation module, wherein the face video acquisition terminal is used for acquiring the face video and performing ROI splicing and feature extraction on each frame of image in the face video to obtain a feature sequence; the data enhancement module is used for enhancing dimension features of blood volume pulse wave related information in a color space by adopting a YUVT color space according to the feature sequence obtained by the face video acquisition terminal to obtain a video sequence after the dimension features are enhanced; the spatial feature processing module is used for calculating feature vectors of the video sequence after the dimension features are enhanced, splicing the feature vectors of all frames into a spatial-temporal feature map and performing spatial slicing on the spatial-temporal feature map to form a multi-time-domain spatial feature map; the neural network calculation module is used for performing high-dimensional feature extraction on the multi-time-domain spatial feature map and enhancing time-domain feature association of the extracted high-dimensional features by using LSTM to obtain a blood pressure measuring model.
Description
technical field [0001] The invention relates to the technical field of face video feature processing, in particular to a non-contact blood pressure measurement device based on face video. Background technique [0002] Blood pressure is an important physiological parameter of the human body. For a long time, blood pressure measurement is mainly divided into direct measurement method and indirect measurement method. Receptor pulse wave, extract features according to the pulse wave changes, and then use the features to calculate the systolic and diastolic blood pressure of the pulse. [0003] However, the measurement accuracy of the traditional method is easily affected by many factors, such as the professional ability of the surveyor, and the height, weight, age, and measurement environment of the person being measured. In the field of blood pressure measurement, traditional measurement equipment is highly stable, but not easy to carry. Blood pressure measurement equipment ba...
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