Fall data collection and analysis platform

Abstract

The invention relates to a falling data acquiring and analyzing platform. The falling data acquiring and analyzing platform comprises a micro node, a micro base station and a monitoring module, wherein the micro node is in wireless communication with the micro base station, and the micro base station is communicated with the monitoring module; and an acceleration measuring unit, an angular speed measuring unit and a magnetometer are arranged in the micro node. The micro base station of the falling data acquiring and analyzing platform can be used for transferring data acquired by the micro node to the monitoring module in real time; and furthermore, the micro node further comprises the angular speed measuring unit and the magnetometer besides the acceleration measuring unit, an dip angle value with high precision can be calculated by performing algorithm fusion on data of the acceleration measuring unit, the angular speed measuring unit and the magnetometer measuring unit, and a practical and accurate falling detection algorithm can be found through the falling data acquiring and analyzing platform.

Description

technical field [0001] The invention relates to the field of data management and control, in particular to a fall data collection and analysis platform. Background technique [0002] A fall is defined as a sudden, involuntary, or involuntary change in position resulting in falling to the ground or a lower level. According to statistics, the proportion of people over the age of 65 who experience falls is as high as 1 / 3 every year, and this proportion increases with age. In the United States, falls have become the sixth leading cause of death for older Americans, with a total medical cost of more than $20 billion per year for falls. At present, there are about 130 million elderly people in my country, and about 20 million elderly people have at least 25 million fall accidents every year, and the direct medical expenses exceed 5 billion yuan. It can be seen that falls are an important factor that threatens the life safety of the elderly and increases the social burden. [00...

AI Technical Summary

Problems solved by technology

Obviously, the practice of importing data into Matlab software for analysis in the later stage is not real-time

[0005] In addition, some researchers only use the three-axis acceleration value measured by the accelerometer to detect or judge falls. Although this method will reduce the complexity and cost of the system, the acceleration of the human body does not have the information completeness to describe a movement process, because the human body falls In addition to the change of acceleration, the angular velocity will also change significantly during the process, so this technical method has certain limitations, and the accuracy is difficult to guarantee

Some researchers calculate the inclination angle through the acceleration value collected by the accelerometer, but there will be a very large error, because the human body may be subject to a large impact during the fall process, and the acceleration of the three-axis component collected by the accelerometer may contain the impact caused by the impact. The motion acceleration brought about by the acceleration, and considering the influence of the fixed gravitational acceleration, the angle calculated only by the acceleration is difficult to match the actual situation

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