Non-contact blood pressure measuring equipment based on face video
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
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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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