Method and device for detecting heart rates and blood oxygen saturation of human bodies
A detection method and saturation technology, applied in the measurement of pulse rate/heart rate, diagnostic record/measurement, medical science, etc., can solve the problems of emotional instability of the tester, contact or injury, and affecting the detection results
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Embodiment 1
[0055] figure 1 A schematic flow chart of the human heart rate and blood oxygen saturation detection method provided in Embodiment 1 of the present application; refer to figure 1 , the detection methods of human heart rate and blood oxygen saturation provided by this application include:
[0056] S101, using face tracking technology to determine whether the face moves;
[0057] S102. If the face does not move, collect image information of the forehead region of the face;
[0058] It should be noted that: Here, it is necessary to collect the image information of the forehead area of the face for a predetermined period of time; when it is judged that the face is not moving, start to collect, if it is judged that the face starts to move during the collection and process, then stop this collection, with When the face stops moving, the next collection starts.
[0059] Wherein, the collected image information may be in RGB color mode.
[0060] Specifically, the collection device...
Embodiment 2
[0070] figure 2 A schematic flow chart of a part of the method for detecting human heart rate and blood oxygen saturation provided in Embodiment 2 of the present application; refer to figure 2 And embodiment one, in the method for detecting human heart rate and blood oxygen saturation provided by the present application, preprocessing the RGB grayscale mean data curves of the three channels respectively includes:
[0071] S201, respectively normalize the RGB grayscale mean data curves of the three channels;
[0072] What needs to be understood is: the normalization method has two forms, one is to change the number into a decimal between (0, 1), and the other is to change a dimensioned expression into a dimensionless expression. It is mainly proposed for the convenience of data processing. It is more convenient and faster to map data to the range of 0 to 1 for processing, and it should be included in the category of digital signal processing. Normalizing the RGB grayscale a...
Embodiment 3
[0081] image 3 Part of the flow diagram of the human heart rate and blood oxygen saturation detection method provided in Embodiment 3 of the present application; refer to image 3 With the above-mentioned embodiments, the RGB grayscale mean value data curves of two channels selected in the human heart rate and blood oxygen saturation detection method provided by the present application specifically include:
[0082] S301, acquiring the light wavelength corresponding to the RGB grayscale average data curve of each channel;
[0083] S302, selecting a wavelength of light having a similar absorption coefficient for oxyhemoglobin and reduced hemoglobin as the first wavelength of light;
[0084] S303, selecting the light wavelength with the largest difference in absorption coefficient between oxyhemoglobin and reduced hemoglobin as the second light wavelength;
[0085] S304. Select the RGB average grayscale data curve of the channel corresponding to the first optical wavelength a...
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