Old people tumble detection method and system based on non-contact radar technology

A non-contact, detection method technology, applied in the direction of radio wave measurement system, measurement device, diagnostic recording/measurement, etc., can solve the adaptability of heavy calculation load, echo signal can not determine which is the sign signal, and fixed basis function Restrictions and other issues

Active Publication Date: 2020-06-16
SHANDONG ACAD OF SCI INST OF AUTOMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The independent component analysis (ICA) algorithm can separate the components of the echo signal but cannot determine which is the sign signal. The radar echo signal is a non-stationary nonlinear signal, and the time-frequency resolution characteristics of wavelet transform can describe the local characteristics of the signal. Separated, but its basis function is fixed and the adaptability is limited; the supplementary ensemble empirical mode decomposition (CEEMD) algorithm is very effective in nonlinear non-stationary signal analysis, not only solves the mode mixing problem of traditional EMD algorithm And it will not cause energy loss, and the original signal is accurately reconstructed, but the calculation load of CEEMD in the decomposition process is very large

Method used

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  • Old people tumble detection method and system based on non-contact radar technology
  • Old people tumble detection method and system based on non-contact radar technology
  • Old people tumble detection method and system based on non-contact radar technology

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Experimental program
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Embodiment 1

[0041] This embodiment discloses an elderly fall detection method based on non-contact radar technology, such as figure 1 shown, including the following steps:

[0042] Step 1: collect the original signal D(t) of the radar sensor, and collect N*2 groups in total; where N is the number of FFT transformation points and is a multiple of 256;

[0043] In a specific implementation example, when the radar sensor is arranged, one is installed in the bedroom, one is installed in the bathroom, and one is installed in the living room, with a vertical installation height of 1.8 to 2 meters;

[0044] Step 2: Find the maximum point D of the original signal MAX (t) and minimum point D MIN (t);

[0045] Step 3: Do the maximum point D of the original signal MAX (t) and minimum point D MIN (t) envelope, and find the centroid point D of the envelope EV (t);

[0046] Step 4: Subtract the centroid point sequence D from the original data sequence D(t) EV (t), you can get a new data sequenc...

Embodiment 2

[0080] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the following steps are implemented, including:

[0081] Collect the raw signal of the radar sensor;

[0082] Find the maximum and minimum points of the original signal;

[0083] Make the envelope of the maximum point and minimum point of the original signal, and find the centroid point of the envelope;

[0084] Subtract the centroid point sequence from the original data sequence to obtain a new data sequence with low frequency removed, repeat the steps to subtract the centroid point sequence from the original data sequence to obtain a sequence of IMF components, and separate the low frequency and high frequency components;

[0085] Subtract the obtained IMF component from the original signal to form a new signal;

[0086] In the iterative process, the maxim...

Embodiment 3

[0088] The purpose of this embodiment is to provide a computer-readable storage medium.

[0089] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:

[0090] Collect the raw signal of the radar sensor;

[0091] Find the maximum and minimum points of the original signal;

[0092] Make the envelope of the maximum point and minimum point of the original signal, and find the centroid point of the envelope;

[0093] Subtract the centroid point sequence from the original data sequence to obtain a new data sequence with low frequency removed, repeat the steps to subtract the centroid point sequence from the original data sequence to obtain a sequence of IMF components, and separate the low frequency and high frequency components;

[0094] Subtract the obtained IMF component from the original signal to form a new signal;

[0095] In the iterative process, the maximum absolute ...

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Abstract

The invention discloses an old people tumble detection method based on a non-contact radar technology. The method comprises the following steps: acquiring an original signal of a radar sensor; solvinga maximum value point and a minimum value point of the original signal; calculating an envelope curve of the maximum value point and the minimum value point of the original signal, and solving a centroid point of the envelope curve; subtracting the centroid point sequence from the original data sequence to obtain a new data sequence without low frequency, repeating the step of subtracting the centroid point sequence from the original data sequence to obtain a sequence of IMF components, and separating out low-frequency and high-frequency components; subtracting the obtained IMF component fromthe original signal to form a new signal; inputting the maximum absolute amplitude, the zero point number and the autocorrelation maximum amplitude in the iteration process to serve as stop criteria,carrying out detecting and classifying on different types of noise, and detecting tumble of old people accurately according to positioning and classification of radar echo signals. The calculation load of a traditional CEEMD algorithm is reduced, and automatic detection, positioning and classification of the tumble features are achieved.

Description

technical field [0001] The invention belongs to the technical field of radar detection, in particular to a fall detection method and system for the elderly based on non-contact radar technology. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] At present, the situation of my country's aging population is becoming increasingly serious, artificial intelligence has become an important technical means to promote medical construction, and will also drive smart nursing equipment for the elderly to enter a period of rapid development. Accidental falls of the elderly are the "number one killer" that endangers the physical and mental health of the elderly. The World Health Organization pointed out that the probability of falls for the elderly over 65 years old is 28%-35%, and the probability for those over 70 years old is 32%-42%. As the physical ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11G01S7/41G01S13/06G01S13/88
CPCA61B5/1117A61B5/1126G01S13/88G01S13/06G01S7/41Y02A90/10
Inventor 李向东张琳赵兴文刘成业
Owner SHANDONG ACAD OF SCI INST OF AUTOMATION
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