Human body fall-down prevention early warning and intervening method and system

A technology of anti-fall and human body, applied in the direction of alarms, instruments, etc., can solve the problems of lack of early warning, unrealized early warning, impossibility of anti-fall intervention measures and real-time protection, etc., to reduce injuries and facilitate timely treatment Effect

A technology of anti-fall and human body, applied in the direction of alarms, instruments, etc., can solve the problems of lack of early warning, unrealized early warning, impossibility of anti-fall intervention measures and real-time protection, etc., to reduce injuries and facilitate timely treatment Effect

CN103377541AInactive Publication Date: 2013-10-30SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Human body fall-down prevention early warning and intervening method and system
  • Human body fall-down prevention early warning and intervening method and system
  • Human body fall-down prevention early warning and intervening method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Embodiment 1 provides a kind of human body anti-fall early warning and intervention method, such as figure 1 As shown, the method includes the following steps:

[0062] Step S11: Real-time detection of the body posture of the monitored object, collecting body posture information of the monitored object, and obtaining detection data;

[0063] Step S12: performing fusion processing on the detection data to obtain processed signal data;

[0064] Step S13: Comparing the processed signal data with a set threshold to determine whether the monitored object has a falling tendency, and when the monitored object has a falling tendency, send an early warning message before the monitored object falls;

[0065] Step S14: Work on fall prevention shoes, implement intervention measures, and perform fall prevention.

[0066] Wherein, the body posture information of the monitored object includes acceleration information of the monitored object in three axes, angular velocity informatio...

Embodiment 2

[0081] Embodiment 2 provides another human body fall prevention early warning and intervention method, which is further optimized on the basis of Embodiment 1.

[0082] Such as figure 2 As shown, the method includes the following steps:

[0083] Step S21: Real-time detection of the body posture of the monitored object, collecting body posture information of the monitored object, and obtaining detection data;

[0084] Step S22: performing fusion processing on the detection data to obtain processed signal data;

[0085] Step S23: Compare the processed signal data with a set threshold to determine whether the monitored object has a falling tendency; if so, execute step S24, otherwise, return to execute step S21;

[0086] Step S24: When the monitored object has a tendency to fall, the anti-fall shoes work before the monitored object falls, and implement intervention measures to prevent falls;

[0087] Step S25: Determine whether the fall is inevitable; if so, execute step S26;...

Embodiment 3

[0101] Embodiment 3 provides a human body anti-fall early warning and intervention system, which uses the method in embodiment 1 to perform anti-fall early warning and intervention. Such as image 3 As shown, the system includes an anti-fall warning device 1 and an anti-fall shoe 4 .

[0102]The anti-fall warning device 1 mainly includes a sensing module 10, a microcontroller module 20 and a power supply module 30, the sensing module 10 is connected with the microcontroller module 20, and the sensing module 10 detects the body posture of the monitored object in real time, And transmit the detection data to the microcontroller module 20; the microcontroller module 20 receives the detection data of the sensing module 10, processes and judges the detection data, and sends out an early warning message when it is predicted that a fall will occur and before the fall occurs ; The power supply module 30 is connected with the sensing module 10 and the microcontroller module 20 respect...

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Abstract

The invention relates to the technical field of human body fall-down detecting and intervening and provides a human body fall-down prevention early warning and intervening method and system. The human body fall-down prevention early warning and intervening method includes the steps that real-time detection is performed on the body posture of a monitored object, body posture information of the monitored object is collected, and detection data are obtained; fusion processing is performed on the detection data so as to obtain the processed signal data; the processed signal data are compared with a set threshold so as to judge whether the monitored object inclines to fall down or not, and when the monitored object inclines to fall down, early warning information is sent out before the monitored object falls down; fall-down prevention shoes work, intervening measures are carried out, and fall-down prevention is performed. The human body fall-down prevention early warning and intervening method and system achieve early warning and intervening before the human body falls down.

Description

【Technical field】 [0001] The invention relates to the technical field of human body fall detection and intervention, in particular to a human body fall prevention early warning and intervention method and system. 【Background technique】 [0002] A fall is defined as a sudden, involuntary, involuntary change in position, such as falling onto the ground or a lower surface. According to statistics, about 424,000 deaths are directly related to falls every year in the world, and falls are the second leading cause of unintentional injury deaths in the world (after traffic accidents). Studies have shown that among the elderly over 65 years old, the proportion of one or more falls per year is as high as 1 / 3, and 20-30% of them will cause abrasions, hip fractures, head fractures, etc. during falls. Trauma, etc., and increase with age. In the United States, the total medical cost of falls exceeds $20 billion per year. There are currently about 130 million elderly people in my countr...

Claims

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Application Information

Patent Timeline
30 Oct 2013
Publication
CN103377541A
IPC
G08B21/04
Inventors
赵国如; 李慧奇