Non-contact type heart rate detection method and system

Abstract

The present invention relates to a non-contact type heart rate detection method and system. The method comprises the steps of (a) obtaining the face video image data of a detected people, identifying the face in the image data, and calculating the interest area image of the face, (b) calculating the red and green component difference value of the interest area image through a time domain difference color change amplification model, calculating the difference amplification value of the interest area image, and calculating the time domain change waveform according to the difference amplification value, (c) carrying out Fourier transform on the time domain change waveform, calculating a frequency domain response maximum value, and calculating the heart rate value of the detected people according to the frequency value corresponding to the frequency domain response maximum value. According to the method and the system, the influence of environment light on a non-contact type heart rate calculation method based on vision can be effectively avoided, and thus a robust and accurate non-contact type heart rate detection result is obtained.

Description

technical field [0001] The invention belongs to the technical field of heart rate detection, in particular to a non-contact heart rate detection method and system. Background technique [0002] Heart rate is one of the important signs of the human body and one of the important parameters monitored by the monitor. At present, the patch type heart rate detector is most used clinically, which uses the heart rate extracted from the electrical signal of the human body. Although the patch type heart rate detector has high precision, it must be in contact with the human body This has caused great inconvenience to some groups of people, such as newborn infants and patients with severe surgery, for heart rate monitoring. [0003] For this reason, some researchers have proposed many non-contact heart rate detection methods, such as: Chinese patent CN201310546070.2 discloses a non-contact magnetic induction heart rate and respiration rate synchronous detection method and system, which...

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Problems solved by technology

According to this principle, some researchers have proposed a non-contact heart rate detection method using the principle of visual images, for example: a heart rate measurement method based on low-end imaging equipment proposed by Chinese patent CN201210526066.5, and a method proposed by Chinese patent CN201310172275.9 The non-contact automatic heart rate measurement system and measurement method are all based on visual image information technology for non-contact heart rate measurement; the advantage of this technology is that it has no radiation and completely non-contact heart rate measurement, but the methods used in the above two patents Both are based on the blind source analysis algorithm (also called independent principal component analysis ICA), which is very sensitive to light. When measuring heart rate, it is required that the light is strong enough and the light is stable to obtain a more accurate heart rate value. Once the ambient light changes, or If the ambient light is not strong enough, the heart rate test will become inaccurate

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