Wearable device real-time heart rate monitoring method based on sensor fusion

Abstract

The invention belongs to the technical field of human body heart rate health monitoring, and particularly relates to a wearable device real-time heart rate monitoring method based on sensor fusion. Interference factors in original photoelectric pulse signals and acceleration signals are removed by constructing a multi-sensor fusion least square adaptive filtering denoising algorithm model, a decision tree classification model is established by extracting peak-to-peak values and root-mean-square features of three-axis acceleration signals, and meanwhile, a heart rate classification interval is defined according to the model; then a PPG signal output by a filter is input into a classification model to determine a frequency spectrum interval of a current heart rate value, and the maximum frequency spectrum peak value is searched in the interval to determine the heart rate frequency; and finally, three paths of denoised photoelectric pulse wave signals are fused to calculate a heart rate value, and the heart rate value is used as a final heart rate value. Compared with the prior art, according to the invention, noise interference in the calculation process is effectively removed, the calculation process is simple, and the accuracy of the obtained heart rate value is higher.

Description

technical field [0001] The invention belongs to the technical field of human heart rate health monitoring, and specifically relates to a sensor fusion-based real-time heart rate monitoring method for wearable devices. Background technique [0002] With the rapid development of social urbanization, people's work rhythm is accelerated, and various life pressures are increasing day by day. According to the "Overview of China's Cardiovascular Health Disease Report 2019", it can be seen that at present, the risk of disease caused by cardiovascular health problems is the highest. It is estimated that the number of patients with cardiovascular and cerebrovascular diseases in my country is about 330 million. The mortality rate is still on the rise, and the disease tends to be younger. Although the prevention and treatment of cardiovascular diseases in China has achieved initial results, it still faces severe challenges. With the outbreak of the new crown epidemic in 2019, remote co...

AI Technical Summary

Problems solved by technology

However, these methods involve a large number of matrix operations in the process of decomposing and reconstructing the signal, the complexity of the denoising algorithm is high, and the low computing power of wearable devices is difficult to achieve.

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