Heart rate monitoring method based on image processing

Abstract

An embodiment of the invention relates to a heart rate monitoring method based on image processing. The method comprises steps that a processor of a user terminal receives video data of the first user finger tip color collected by a photoelectric sensing device; each frame image in the video data is extracted and converted into a gray-scale map; the gray-scale value of each frame image is calculated, and a first gray-scale value variation curve is generated according to the gray-scale value of each frame image; a wavelet is selected to carry out wavelet decomposition of the first gray-scale value variation curve; a post-decomposition wavelet transformation coefficient is subjected to threshold quantification; the wavelet is reconstructed according to the coefficient after threshold quantification so as to form a second gray-scale value variation curve; and according to the peak number of the second gray-scale value variation curve, real-time heart rate data are obtained by calculation.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to a heart rate monitoring method based on image processing. Background technique [0002] With the development of the times and the improvement of the quality of life, health issues have attracted more and more attention. Having a healthy body is everyone's dream. [0003] Heart rate, a technical term used to describe the cardiac cycle, refers to the number of times the heart beats per minute, subject to the first sound. There are significant individual differences in the heart rate of normal adults at rest, with an average of 60-100 beats per minute. The heart rate can vary with age, gender and other physiological conditions. [0004] In the prior art, heart rate detection usually adopts the following two methods: the first is to measure by electrocardiogram. This method is accurate, but the cost is relatively high. It must be operated by professional medical personnel. T...

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Problems solved by technology

[0004] In the prior art, heart rate detection usually adopts the following two methods: the first is to measure by electrocardiogram, which is accurate, but the cost is relatively high, and it must be operated by professional medical personnel. The second is manual pulse counting. When measuring heart rate, turn on the timing tool, touch the pulse of the other hand with one hand, and count the number of pulse beats within a certain period of time. This method operates Simple, but the error is relatively large

In addition, the heart rate can also be measured using an electronic sphygmomanometer, but this device is usually not portable, and users cannot conveniently monitor their own heart rate anytime, anywhere

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