Anti-jamming heart rate measurement method

Abstract

The embodiment of the invention discloses an anti-jamming heart rate measurement method. The method comprises the following steps: obtaining a video of heart rate measurement, extracting a frame image, performing grey processing on the frame image to obtain an image signal G, performing first-order differential processing on the image signal G, performing multi-order filtering on a discrete signal after differential processing through a digital low-pass Butterworth filter to obtain a processed signal S, performing AR model power spectrum analysis on the processed signal S to obtain a highest-energy signal which is namely a heart rate signal, obtaining the frequency of the heart rate signal through a power spectrum, and then obtaining a heart rate value. By the adoption of the anti-jamming heart rate measurement method, the image signal is obtained through a common camera for heart rate measurement, and optimization and improvement are performed on an algorithm. With regard to the interference, caused by various factors, in the image, a useful signal which is overwhelmed by noise can be extracted within a frequency domain according to limited data, characteristic values are extracted according to an AR model power spectrum, and therefore the heart rate value of a tester can be effectively and accurately measured in a short time.

Description

technical field [0001] The invention relates to a heart rate detection method, in particular to an anti-interference heart rate detection method. Background technique [0002] Heart rate is an important parameter of human health. Whether it is during exercise or rest, the heart rate contains parameters of human health. At present, there are many heart rate detection equipment on the market, and corresponding detection methods are provided. These heart rate The detection equipment includes a series of components to sense the pulse, such as the peak detector, etc., due to the lack of sophisticated signal processing, the heart rate calculation process is subject to various interference signals. [0003] Another example is a heart rate measurement method disclosed in Chinese Patent No. 201110451364.8, which uses an ordinary camera to obtain the feature vector T of the detection space and the threshold ε for conversion to a binary image; obtain the heart rate detection video; fro...

AI Technical Summary

Problems solved by technology

There are inherent shortcomings in these processes. When acquiring video signals, it will inevitably be mixed with other signals due to jitter, large changes in light, etc., but these noise signals will seriously affect the heart rate signal, making the measurement results greatly discount

Even if using an infrared camera to obtain images can improve the accuracy, the price of an infrared camera is much higher than that of an ordinary camera, and it can only be used for research in a laboratory, and it is difficult to obtain a wide range of applications in ordinary families.

If the heart rate is measured by the electrocardiogram method, because the method of use and the required equipment are very complicated, and the equipment is relatively expensive, it is not suitable for ordinary users

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