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

A heart rate monitoring and heart rate technology, applied in sensors, pulse rate/heart rate measurement, diagnostic recording/measurement, etc., which can solve the problems of low computing power and high complexity of denoising algorithms for wearable devices

Active Publication Date: 2021-09-07
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, these methods involve a large number of matrix operations in the process of decomposing and reconstructing the signa

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

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Embodiment Construction

[0048] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0049] In this real-time example, the measured objects are mainly people aged 18-40. With wearable devices as the carrier, real-time calculation and monitoring of the wearer's wrist photoelectric pulse wave signal and acceleration signal, the most important thing is through the least squares automatic The adaptive filter fuses the photoelectric pulse wave signal and the acceleration signal to remove the motion artifact of the photoelectric pulse wave signal. In order to accurately calculate the heart rate value, the heart rate search interval is predicted through the decisio...

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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...

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Application Information

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IPC IPC(8): A61B5/024A61B5/00
CPCA61B5/024A61B5/7207A61B5/02444
Inventor 高斌闻后来
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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