CN112363160B - Wide-band signal-based bedridden drop detection method, medium, equipment and device - Google Patents
Wide-band signal-based bedridden drop detection method, medium, equipment and device Download PDFInfo
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- CN112363160B CN112363160B CN202011082856.XA CN202011082856A CN112363160B CN 112363160 B CN112363160 B CN 112363160B CN 202011082856 A CN202011082856 A CN 202011082856A CN 112363160 B CN112363160 B CN 112363160B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/886—Radar or analogous systems specially adapted for specific applications for alarm systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/48—Diagnostic techniques
- A61B8/488—Diagnostic techniques involving Doppler signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/415—Identification of targets based on measurements of movement associated with the target
Abstract
The invention discloses a method, a medium, equipment and a device for detecting falling in bed based on broadband signals, wherein the method comprises the following steps: acquiring a wide-band signal to be detected, acquiring corresponding echo amplitude and first dynamic Doppler power according to the wide-band signal to be detected, and judging whether the monitored human body falls in bed or not according to the echo amplitude and the first dynamic Doppler power; if so, acquiring a verification broadband signal, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; if the verification result is yes, generating corresponding alarm information; can fall to bed and carry out accurate detection, reduce the emergence of the false alarm condition that leads to because of the false retrieval to ensure monitored crowd's life safety.
Description
Technical Field
The invention relates to the technical field of radar detection, in particular to a bed falling detection method based on a broadband signal, a computer readable storage medium, computer equipment and a bed falling detection device based on the broadband signal.
Background
A fall in bed, especially a fall in bed at night, is a highly dangerous and sudden abnormal condition, which can easily lead to serious consequences if the intervention is not performed in time.
In the related art, in the process of detecting falling of a bed, a contact mode is mostly adopted (for example, a bracelet, a pressure mattress and the like are used), the bracelet can detect falling of the bed by detecting the heart rate and the blood pressure, however, the detection precision is low, and false alarm is often easy to occur; the pressure mattress can judge whether a person is in the bed or not, but cannot distinguish whether the person is normally out of the bed or falls into the bed; therefore, the methods have the defect of inaccurate detection results.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, an object of the present invention is to provide a method for detecting a bed-ridden drop based on a broadband signal, which can accurately detect the bed-ridden drop, and reduce the occurrence of false alarm caused by false detection, so as to ensure the life safety of the monitored population.
A second object of the invention is to propose a computer-readable storage medium.
A third object of the invention is to propose a computer device.
The invention also provides a device for detecting the falling of the patient in bed based on the broadband signal.
In order to achieve the above object, a first embodiment of the present invention provides a method for detecting a fall in bed based on a broadband signal, including the following steps: acquiring a wide-band signal to be detected, acquiring corresponding echo amplitude and first dynamic Doppler power according to the wide-band signal to be detected, and judging whether a monitored human body falls in bed or not according to the echo amplitude and the first dynamic Doppler power; if so, acquiring a verification broadband signal, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; and if the verification result is yes, generating corresponding alarm information.
According to the method for detecting the falling in bed based on the broadband signal, firstly, the broadband signal to be detected is obtained, the corresponding echo amplitude and the first dynamic Doppler power are obtained according to the broadband signal to be detected, and whether the human body is in bed and falls is judged and monitored according to the echo amplitude and the first dynamic Doppler power; then, if yes, obtaining a verification broadband signal, obtaining a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; then, if the verification result is yes, generating corresponding alarm information; therefore, the falling of the patient lying in the bed can be accurately detected, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is guaranteed.
In addition, the method for detecting a falling object in bed based on a broadband signal according to the above embodiment of the present invention may further have the following additional technical features:
optionally, judging whether the monitored human body is bedridden and falls or not according to the echo amplitude and the first dynamic doppler power includes: judging whether the echo amplitude is larger than a preset amplitude threshold value or not; if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio of the body motion negative Doppler power to the body motion positive Doppler power is larger than a preset ratio threshold value or not; if so, the monitoring of the falling of the human body in bed is considered.
Optionally, verifying and monitoring whether the human body falls in bed according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; judging whether the Doppler peak distance is larger than a preset distance threshold value or not; if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value; if so, judging whether the respiratory Doppler power is larger than a second preset power threshold value; if so, the monitoring human body is considered to be actually lying in bed and falling.
Optionally, obtaining a corresponding doppler peak distance from the validated wideband signal comprises: performing fast Fourier transform on a to-be-detected broadband signal and a verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal; and calculating a first Doppler moving target distance corresponding to the broadband signal to be detected according to the first transformation result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second transformation result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as a Doppler peak distance.
In order to achieve the above object, a second embodiment of the present invention provides a computer-readable storage medium, on which a wide-band-signal-based bed-fall detection program is stored, which, when being executed by a processor, implements the wide-band-signal-based bed-fall detection method as described above.
According to the computer-readable storage medium of the embodiment of the invention, the processor realizes the bedridden falling detection method based on the broadband signal when executing the bedridden falling detection program based on the broadband signal by storing the bedridden falling detection program based on the broadband signal, so that the accurate detection of the bedridden falling is realized, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is ensured.
In order to achieve the above object, a third embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the computer device implements the method for detecting a fall-in-bed based on a broadband signal as described above.
According to the computer equipment provided by the embodiment of the invention, the memory stores the bedridden falling detection program based on the broadband signal, so that the processor realizes the bedridden falling detection method based on the broadband signal when executing the bedridden falling detection program based on the broadband signal, thereby realizing accurate detection of the bedridden falling, reducing the occurrence of false alarm caused by false detection and ensuring the life safety of the monitored population.
In order to achieve the above object, a fourth aspect of the present invention provides a device for detecting a fall in bed based on a broadband signal, including: the judging module is used for acquiring a to-be-detected broadband signal, acquiring corresponding echo amplitude and first dynamic Doppler power according to the to-be-detected broadband signal, and judging whether the monitored human body is bedridden and falls according to the echo amplitude and the first dynamic Doppler power; the verification module is used for acquiring a verification broadband signal when the monitored human body is judged to fall in bed, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying whether the monitored human body falls in bed or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; and the alarm module is used for generating corresponding alarm information when the verification result is yes.
According to the wide band type signal-based bed falling detection device provided by the embodiment of the invention, the judgment module is arranged for acquiring a wide band type signal to be detected, acquiring the corresponding echo amplitude and the first dynamic Doppler power according to the wide band type signal to be detected, and judging whether a monitored human body falls in bed or not according to the echo amplitude and the first dynamic Doppler power; the verification module is used for acquiring a verification broadband signal when the monitored human body is judged to fall in bed, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying whether the monitored human body falls in bed or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; the alarm module is used for generating corresponding alarm information when the verification result is yes; therefore, the falling of the patient lying in the bed can be accurately detected, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is guaranteed.
In addition, the device for detecting falling into bed based on wide band type signals according to the above embodiment of the present invention may also have the following additional technical features:
optionally, judging whether the monitored human body is bedridden and falls or not according to the echo amplitude and the first dynamic doppler power includes: judging whether the echo amplitude is larger than a preset amplitude threshold value or not; if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio of the body motion negative Doppler power to the body motion positive Doppler power is larger than a preset ratio threshold value or not; if so, the person is considered to be monitored for falling in bed.
Optionally, verifying and monitoring whether the human body is in bed and falls according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; judging whether the Doppler peak distance is larger than a preset distance threshold value or not; if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value; if so, judging whether the respiratory Doppler power is larger than a second preset power threshold value; if so, the monitoring human body is considered to be actually in bed and fallen.
Optionally, obtaining a corresponding doppler peak distance from the validated wideband signal comprises: performing fast Fourier transform on a to-be-detected broadband signal and a verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal; and calculating a first Doppler moving target distance corresponding to the broadband signal to be detected according to the first conversion result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second conversion result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as a Doppler peak value distance.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting a fall in bed based on a broadband signal according to an embodiment of the present invention;
figure 2 is a block schematic diagram of a wide band signal based ambulatory fall detection device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the related art, false alarm is easy to occur in the process of detecting the falling of a bed through contact equipment; according to the method for detecting the falling in bed based on the broadband signal, firstly, the broadband signal to be detected is obtained, the corresponding echo amplitude and the first dynamic Doppler power are obtained according to the broadband signal to be detected, and whether the human body is in bed and falls is judged and monitored according to the echo amplitude and the first dynamic Doppler power; then, if yes, obtaining a verification broadband type signal, obtaining a corresponding Doppler peak distance, second body movement Doppler power and breathing Doppler power according to the verification broadband type signal, and verifying and monitoring whether the human body is in bed and falls or not according to the Doppler peak distance, the second body movement Doppler power and the breathing Doppler power; then, if the verification result is yes, generating corresponding alarm information; therefore, the falling of the patient lying in the bed can be accurately detected, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is guaranteed.
In order to better understand the above technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Fig. 1 is a schematic flow chart of a method for detecting a fall in bed based on a broadband signal according to an embodiment of the present invention, and as shown in fig. 1, the method for detecting a fall in bed based on a broadband signal includes the following steps:
s101, acquiring a broadband signal to be detected, acquiring corresponding echo amplitude and first dynamic Doppler power according to the broadband signal to be detected, and judging and monitoring whether the human body is bedridden and falls down according to the echo amplitude and the first dynamic Doppler power.
That is to say, the radar sensor is arranged corresponding to the bed to be detected, so as to obtain a wide band type signal to be detected corresponding to the bed to be detected through the radar sensor, then, an echo amplitude and a first dynamic doppler power corresponding to the wide band type signal to be detected are obtained according to the wide band type signal to be detected, then, whether a human body on the bed to be detected generates a large-amplitude action or not is judged according to the echo amplitude, whether the large-amplitude action is carried out in a direction away from the sensor or not is judged according to the first dynamic doppler power, and if so, the large-amplitude action currently carried out by the human body is considered to be a lying fall.
In some embodiments, in order to further improve the detection accuracy of the bedridden fall detection method based on the broadband signal provided by the embodiment of the invention on the bedridden fall; the environmental interference degree of the bed to be detected in an unmanned state is also detected; that is, after the sensor is installed, the relative position of the sensor and the bed is fixed, and in the case of no person on the bed, the noise level detected by the sensor will remain relatively stable; therefore, after the installation position of the sensor is fixed, the electromagnetic wave reflection of the ground and the metal part of the window can be observed in advance, so that the influence of environmental factors on the detection performance is reduced.
In some embodiments, in background acquisition, due to no one being in bed; respiration R (n), heartbeat H (n), and body movement B (n) are all 0, S (n) is equivalent to W (n).
The amplitude of the echo is expressed as
A＝|S(n)|
Firstly, FFT operation is carried out on S (N), the length of FFT is N
X＝fft(S)
A frequency resolution of
X removes DC bias
X(1∶2)＝0
After removing the dc offset, the total power value of X is calculated as follows:
calculated w0And store, consider w0Is the interference (noise and clutter) power level in an unmanned bed condition.
In some embodiments, the determining whether to monitor whether the human body falls down in bed or not according to the echo amplitude and the first dynamic doppler power includes:
judging whether the amplitude of the echo is larger than a preset amplitude threshold value or not;
if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio between the body motion negative Doppler power and the body motion positive Doppler power is larger than a preset ratio threshold value or not;
if so, the monitoring of the falling of the human body in bed is considered.
Namely, judging whether the human body on the bed to be detected generates large-amplitude motion or not according to the echo amplitude, and if the echo amplitude is larger than a preset amplitude threshold value, determining that the current human body generates large-amplitude motion; further, whether the ratio of the body motion negative Doppler power and the body motion positive Doppler corresponding to the first body motion Doppler power is larger than a preset ratio threshold value is judged; if so, the large-amplitude movement is far away from the sensor, and the large-amplitude movement is considered as the falling of the patient in bed.
As an example, first, it is determined whether the echo amplitude satisfies A > k1w0Wherein k is1Is a preselected constant, w ≧ 500Interference power under an unmanned bed condition; if the detected movement is consistent with the preset movement, the human body on the bed to be detected generates a large-amplitude movement; further, whether the data are in line is judged
If so, the direction of movement representing the large amplitude motion is away from the sensor; and further judging the large movement as the falling of the patient in bed.
And S102, if so, acquiring a verification broadband signal, acquiring corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power.
That is to say, if the action that the human body on the current bed to be detected falls off from the bed is preliminarily judged, a verification broadband signal corresponding to the bed to be detected is further obtained, and the doppler peak distance, the second body motion doppler power and the respiratory doppler power corresponding to the verification broadband signal are obtained according to the verification broadband signal; and then, verifying and monitoring whether the human body is in bed and falls or not according to the Doppler peak distance (namely the distance between the positions of the human body corresponding to the two time points when the human body moves greatly and after the human body moves greatly), the falling height of the human body and the second dynamic Doppler power and the respiratory Doppler power.
In some embodiments, verifying and monitoring whether the human body is in bed and falls according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power;
judging whether the Doppler peak distance is larger than a preset distance threshold value or not;
if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value;
if so, judging whether the respiratory Doppler power is greater than a second preset power threshold value;
if so, the monitoring human body is considered to be actually lying in bed and falling.
That is, when the falling of the human body is judged according to the Doppler peak distance and the falling distance is consistent with the height of the bed, whether the human body has performed strong body movement is further judged according to the Doppler power of the second body movement; if not, the human body is considered to be lying down; further, whether the respiratory activity of the human body can be sensed or not can be judged through the respiratory Doppler power, and the respiratory power is smaller than that of the patient in bed; if so, confirming that the current behavior of the human body is the lying-in-bed falling.
In some embodiments, obtaining the corresponding doppler peak distance from the validated wideband signal comprises:
performing fast Fourier transform on the to-be-detected broadband signal and the verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal;
and calculating a first Doppler moving target distance corresponding to the to-be-detected broadband signal according to the first transformation result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second transformation result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as the Doppler peak distance.
As an example, after performing fast fourier transform on the wideband signal to be detected and the wideband signal for verification, the position of the corresponding doppler peak of the human body in the x (n) sequence is calculated by
Where Ω is the range of the search Doppler peak
The distance of the Doppler moving target is as follows:
where B is the signal bandwidth, c is the speed of light, and T is the signal bandwidth.
S103, if the verification result is yes, generating corresponding alarm information.
That is, if the verification result is yes, the current fall-in-bed behavior of the human body is considered to be emphasized, and then corresponding alarm information is generated, so that related personnel can process the alarm information, and the life safety of the human body is ensured to be monitored.
In summary, according to the method for detecting falling in bed based on a wide band type signal in the embodiment of the present invention, first, a wide band type signal to be detected is obtained, a corresponding echo amplitude and a first dynamic doppler power are obtained according to the wide band type signal to be detected, and whether a human body is monitored to fall in bed or not is judged according to the echo amplitude and the first dynamic doppler power; then, if yes, obtaining a verification broadband signal, obtaining a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; then, if the verification result is yes, generating corresponding alarm information; therefore, the falling of the patient lying in the bed can be accurately detected, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is guaranteed.
In order to implement the above embodiments, an embodiment of the present invention provides a computer-readable storage medium, on which a wide-band-signal-based bed fall detection program is stored, which, when executed by a processor, implements the wide-band-signal-based bed fall detection method as described above.
According to the computer-readable storage medium of the embodiment of the invention, the processor realizes the bedridden falling detection method based on the broadband signal when executing the bedridden falling detection program based on the broadband signal by storing the bedridden falling detection program based on the broadband signal, so that the accurate detection of the bedridden falling is realized, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is ensured.
In order to implement the above embodiments, an embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, the method for detecting a fall in bed based on a broadband signal as described above is implemented.
According to the computer equipment provided by the embodiment of the invention, the memory stores the bedridden falling detection program based on the broadband signal, so that the processor realizes the bedridden falling detection method based on the broadband signal when executing the bedridden falling detection program based on the broadband signal, thereby realizing accurate detection of the bedridden falling, reducing the occurrence of false alarm caused by false detection and ensuring the life safety of the monitored population.
In order to implement the foregoing embodiment, an embodiment of the present invention provides a bedridden drop detection apparatus based on a broadband signal, and as shown in fig. 2, the bedridden drop detection apparatus based on the broadband signal includes: a judging module 10, a verifying module 20 and an alarming module 30.
The judging module 10 is configured to acquire a to-be-detected broadband signal, acquire a corresponding echo amplitude and a first dynamic doppler power according to the to-be-detected broadband signal, and judge whether to monitor whether a human body is lying in bed and falls down according to the echo amplitude and the first dynamic doppler power;
the verification module 20 is configured to obtain a verification broadband signal when the monitored human body is determined to fall in bed, obtain a corresponding doppler peak distance, second body motion doppler power and respiratory doppler power according to the verification broadband signal, and verify whether the monitored human body falls in bed according to the doppler peak distance, the second body motion doppler power and the respiratory doppler power;
the alarm module 30 is configured to generate corresponding alarm information when the verification result is yes.
In some embodiments, the determining whether to monitor whether the human body falls down in bed or not according to the echo amplitude and the first dynamic doppler power includes: judging whether the amplitude of the echo is larger than a preset amplitude threshold value or not; if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio between the body motion negative Doppler power and the body motion positive Doppler power is larger than a preset ratio threshold value or not; if so, the person is considered to be monitored for falling in bed.
In some embodiments, verifying and monitoring whether the human body is in bed and falls according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; judging whether the Doppler peak distance is larger than a preset distance threshold value or not; if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value; if so, judging whether the respiratory Doppler power is greater than a second preset power threshold value; if so, the monitoring human body is considered to be actually lying in bed and falling.
In some embodiments, obtaining the corresponding doppler peak distance from the validated wideband signal comprises: performing fast Fourier transform on the to-be-detected broadband signal and the verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal; and calculating a first Doppler moving target distance corresponding to the to-be-detected broadband signal according to the first transformation result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second transformation result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as the Doppler peak distance.
It should be noted that the above description about the method for detecting a bedridden drop based on a broadband signal in fig. 1 is also applicable to the device for detecting a bedridden drop based on a broadband signal, and is not repeated herein.
In summary, according to the device for detecting falling in bed based on a broadband signal in the embodiment of the present invention, the determining module is configured to obtain a broadband signal to be detected, obtain a corresponding echo amplitude and a first dynamic doppler power according to the broadband signal to be detected, and determine whether to monitor whether a human body falls in bed according to the echo amplitude and the first dynamic doppler power; the verification module is used for acquiring a verification broadband signal when the monitored human body is judged to fall in bed, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying whether the monitored human body falls in bed or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power; the alarm module is used for generating corresponding alarm information when the verification result is yes; therefore, the falling of the patient lying in the bed can be accurately detected, the occurrence of false alarm caused by false detection is reduced, and the life safety of the monitored population is guaranteed.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
In the description of the present invention, it is to be understood that the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to imply that the number of technical features indicated are in fact significant. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above should not be understood to necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (4)
1. A method for detecting falling of a patient in bed based on a broadband signal is characterized by comprising the following steps:
acquiring a broadband signal to be detected, acquiring corresponding echo amplitude and first dynamic Doppler power according to the broadband signal to be detected, and judging whether the monitored human body is bedridden and falls down according to the echo amplitude and the first dynamic Doppler power;
if so, acquiring a verification broadband signal, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power;
if the verification result is yes, generating corresponding alarm information;
judging whether the monitored human body lies in bed or falls off according to the echo amplitude and the first integrated Doppler power, and the method comprises the following steps:
judging whether the echo amplitude is larger than a preset amplitude threshold value or not;
if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio of the body motion negative Doppler power to the body motion positive Doppler power is larger than a preset ratio threshold value or not;
if so, determining to monitor the falling of the human body in bed;
verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body movement Doppler power and the respiratory Doppler power;
judging whether the Doppler peak distance is larger than a preset distance threshold value or not;
if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value;
if so, judging whether the respiratory Doppler power is larger than a second preset power threshold value;
if so, determining that the monitored human body is actually bedridden and falls;
obtaining a corresponding doppler peak distance from the validated wideband signal, comprising:
performing fast Fourier transform on a to-be-detected broadband signal and a verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal;
and calculating a first Doppler moving target distance corresponding to the broadband signal to be detected according to the first transformation result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second transformation result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as a Doppler peak distance.
2. A computer-readable storage medium, on which a wide-band-signal-based fall detection program is stored, which, when executed by a processor, implements the wide-band-signal-based fall detection method according to claim 1.
3. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, implements the method for fall in bed based on broadband signals as claimed in claim 1.
4. The utility model provides a bed falls detection device based on wide band formula signal which characterized in that includes:
the judging module is used for acquiring a to-be-detected broadband signal, acquiring corresponding echo amplitude and first dynamic Doppler power according to the to-be-detected broadband signal, and judging whether the monitored human body is bedridden and falls according to the echo amplitude and the first dynamic Doppler power;
the verification module is used for acquiring a verification broadband signal when the monitored human body is judged to fall in bed, acquiring a corresponding Doppler peak distance, second body motion Doppler power and respiratory Doppler power according to the verification broadband signal, and verifying whether the monitored human body falls in bed or not according to the Doppler peak distance, the second body motion Doppler power and the respiratory Doppler power;
the alarm module is used for generating corresponding alarm information when the verification result is yes;
judging whether the monitored human body lies in bed or falls off according to the echo amplitude and the first integrated Doppler power, and the method comprises the following steps:
judging whether the echo amplitude is larger than a preset amplitude threshold value or not;
if so, calculating corresponding body motion negative Doppler power and body motion positive Doppler power according to the first body motion Doppler power, and judging whether the ratio of the body motion negative Doppler power to the body motion positive Doppler power is larger than a preset ratio threshold value or not;
if so, determining to monitor the falling of the human body in bed;
verifying and monitoring whether the human body is bedridden and falls or not according to the Doppler peak distance, the second body movement Doppler power and the respiratory Doppler power;
judging whether the Doppler peak distance is larger than a preset distance threshold value or not;
if yes, judging whether the second body motion Doppler power is smaller than a first preset power threshold value;
if so, judging whether the respiratory Doppler power is larger than a second preset power threshold value;
if so, determining that the monitored human body is actually bedridden and falls;
obtaining a corresponding doppler peak distance from the validated wideband signal, comprising:
performing fast Fourier transform on a to-be-detected broadband signal and a verification broadband signal respectively to obtain a first transform result corresponding to the to-be-detected broadband signal and a second transform result corresponding to the verification broadband signal;
and calculating a first Doppler moving target distance corresponding to the broadband signal to be detected according to the first conversion result, calculating a second Doppler moving target distance corresponding to the verification broadband signal according to the second conversion result, calculating a difference value between the first Doppler moving target distance and the second Doppler moving target distance, and taking the difference value as a Doppler peak value distance.
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