CN115363570A - Method for detecting whether people are on sensor based on cardiac shock signal - Google Patents
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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Abstract
The invention discloses a method for detecting whether a person is on a sensor based on a cardiac shock signal, which comprises the following steps: collecting a heart impact original signal; acquiring a high-frequency signal according to an original signal; calculating the amplitude ratio between the original signal and the high-frequency signal; if all the amplitude ratio values within the specified time are greater than the amplitude threshold value of the person, determining that the person is on the sensor, and if all the amplitude ratio values within the specified time are less than the amplitude threshold value of the person, determining that the person is not on the sensor; and if the amplitude ratio is smaller than a first specified value and the first coefficient of variation is smaller than a second specified value, refreshing the human amplitude threshold. By acquiring the time sequence original signal of the heart impact signal and dynamically refreshing the judgment threshold, the robustness of the algorithm is increased, the sensor is effectively inhibited from being easily subjected to high-frequency interference of other equipment, the problem that the signal amplitude and the signal standard deviation are influenced by the sensor is solved, and the accuracy is improved.
Description
Technical Field
The invention relates to the technical field of sensor detection, in particular to a method and a system for detecting whether a person is on a sensor based on a cardiac shock signal.
Background
The heart attack signal is used as a physiological signal for reflecting the mechanical activities of heart, breath and body movement, and the signal frequency is 0.05 to 20Hz. The ballistocardiographic signal can be detected by a variety of different sensors, including piezoelectric sensors, optical fiber sensors, radar sensors. In the acquisition process of the cardiac shock signal, the information contained in the cardiac shock signal is more, and the cardiac shock signal comprises a respiration signal, a heartbeat signal, a body movement signal and high-frequency interference generated by electronic equipment.
In the actual use process of detecting human body signals through the piezoelectric sensor, the optical fiber sensor and the radar sensor, how to judge whether a person is on the sensor is the premise of detecting the human body signals. The common methods adopted at present are two methods, namely setting a threshold value through signal amplitude and setting a threshold value through signal standard deviation. However, since the common use scenes such as home, hospital, etc. usually have high-frequency interference from other devices, when the high-frequency interference is serious, the signal amplitude and the signal standard deviation are affected by the high-frequency interference, so that the judgment of the algorithm is wrong. Meanwhile, even if the influence of high-frequency interference does not exist, different sleeping positions, different sitting postures and different sensor placement positions have different signal amplitude values and signal standard deviations, and the possibility of error of the fixed threshold is high.
Disclosure of Invention
In the existing technology of judging whether a person is in a bed by using a sensor, the sensor is easily subjected to high-frequency interference of other equipment, so that the signal amplitude and the signal standard deviation are influenced by the sensor, and the method is made to judge errors.
Aiming at the problems, the method for detecting whether a person exists on the sensor based on the cardioblast signal is provided, the judgment threshold value is dynamically refreshed by collecting the time sequence/frequency domain original signal of the cardioblast signal, the robustness of the algorithm is increased, the sensor is effectively inhibited from being easily interfered by high frequency of other equipment, the problem that the signal amplitude and the signal standard deviation are influenced by the sensor is solved, and the accuracy is improved.
In a first aspect, a method for detecting whether a person is present on a sensor based on a ballistocardiographic signal includes:
200, acquiring a high-frequency signal according to the original signal;
wherein the step 400 comprises:
and step 410, if the amplitude ratio values are all smaller than a first specified value and the first coefficient of variation is smaller than a second specified value, refreshing the amplitude threshold value of the person.
In a first possible implementation manner of the method according to the first aspect, the step 200 includes:
and step 220, reserving the original signal with the frequency value above the specified frequency value in the specified time to obtain the high-frequency signal.
With reference to the first or second possible implementation manner of the first aspect, in a third possible implementation manner, the step 410 includes:
and if the sensor is judged to be in an unmanned state, continuously refreshing the manned amplitude threshold value by using the first adjusting coefficient.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner, the human amplitude adjustable range is 1.5-4.5.
In a second aspect, a method for detecting presence of a person on a sensor based on a ballistocardiographic signal includes:
500, collecting a heart impact original signal;
if all the discrete power spectrum slope values in the specified time are larger than the manned slope threshold value, judging that the sensor is manned, and if all the discrete power spectrum slope values in the specified time are smaller than the manned slope threshold value, judging that the sensor is unmanned;
wherein the step 700 comprises:
and 710, if the discrete power spectrum slope values are all smaller than a third specified value and the second coefficient of variation is smaller than a fourth specified value, refreshing the human slope threshold.
In a first possible implementation manner of the method according to the second aspect, the step 600 includes:
and step 620, reserving the original signal power spectrum smaller than the second frequency value.
With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner, the step 600 further includes:
and step 640, calculating the slope values of the straight lines fitted by all the discrete power spectrums within the set time.
With reference to the first or second possible implementation manner of the second aspect, in a third possible implementation manner, the step 710 includes:
step 713, judging whether a person exists on the sensor according to the refreshed person slope threshold value:
if the sensor is judged to be in the unmanned state, the manned slope threshold value is continuously refreshed by the second adjusting coefficient.
In a fourth possible implementation manner, in combination with the method according to the second aspect, the human slope threshold is adjustable within a range of-0.75 to-3.
By implementing the method for detecting whether a person exists on the sensor based on the cardioblast signal, the threshold value is dynamically refreshed and judged by collecting the time sequence/frequency domain original signal of the cardioblast signal, the robustness of the algorithm is increased, the sensor is effectively inhibited from being easily interfered by high frequency of other equipment, the problem that the signal amplitude and the signal standard deviation are influenced by the sensor is solved, and the accuracy is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a first schematic diagram of a method of detecting a presence of a person on a sensor based on a ballistocardiographic signal in accordance with the present invention;
FIG. 2 is a second schematic diagram of a method of detecting the presence of a person on a sensor based on a ballistocardiographic signal according to the present invention;
FIG. 3 is a third schematic diagram of a method of detecting the presence of a person on a sensor based on a ballistocardiographic signal according to the present invention;
FIG. 4 is a fourth schematic diagram of a method of detecting a presence of a person on a sensor based on a ballistocardiographic signal in accordance with the invention;
FIG. 5 is a fifth schematic diagram of a method of detecting the presence of a person on a sensor based on a ballistocardiographic signal according to the present invention;
FIG. 6 is a sixth schematic view of a method of detecting a presence of a person on a sensor based on a ballistocardiographic signal in accordance with the invention;
FIG. 7 is a seventh schematic view of a method of detecting the presence of a person on a sensor based on a ballistocardiographic signal according to the present invention;
FIG. 8 is an eighth schematic diagram of a method of detecting the presence of a person on a sensor based on a ballistocardiographic signal in accordance with the present invention;
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Other embodiments, which can be derived by one of ordinary skill in the art from the embodiments given herein without any creative effort, shall fall within the protection scope of the present invention.
In the existing technology for judging whether people exist on a bed by using a sensor, the sensor is easily subjected to high-frequency interference of other equipment, so that the signal amplitude and the signal standard deviation are influenced by the sensor, and the method is enabled to make judgment wrong.
In order to solve the problems, a method and a system for detecting whether a person is on a sensor based on a heart attack signal are provided.
First method
Example 1
A method for detecting whether a person is present on a sensor based on a ballistocardiogram signal, as shown in fig. 1, where fig. 1 is a first schematic diagram of a method for detecting whether a person is present on a sensor based on a ballistocardiogram signal according to the present invention, includes:
In this embodiment, the signal acquisition unit may be used to acquire the ballistocardiogram signal to obtain an original ballistocardiogram signal data sequence, that is, an original signal.
The high frequency signal may be obtained by filtering the acquired ballistocardiograph signal with a signal filtering unit, and preferably, the original signal above 15HZ is retained, that is, the original signal is high-pass filtered.
Preferably, as shown in fig. 2, fig. 2 is a second schematic view of a method for detecting whether a person is on a sensor based on a ballistocardiographic signal according to the present invention; step 200 comprises: step 210, filtering the original signal of the cardiac shock signal within a specified time by adopting finite impulse response filtering or zero phase shift infinite impulse response filtering or wavelet filter filtering; and step 220, reserving the original signal with the frequency value above the specified frequency value in the specified time to obtain the high-frequency signal.
The high frequency signal may be obtained by high pass filtering using finite impulse response filtering.
In this embodiment, it is preferable to acquire a 10-second raw signal and also acquire a 10-second high-frequency signal, and the raw signal and the high-frequency signal are time-aligned equally.
In the amplitude calculation, preferably, 10 discrete amplitudes of the original signal for 10 seconds and 10 discrete amplitudes of the high-frequency signal are selected, and an amplitude ratio between the original signal and the high-frequency signal is compared with a human amplitude threshold value to determine whether a human is on the sensor.
It should be noted that the amplitude value may be calculated for 10 seconds, or may be calculated for discrete amplitude values in other time periods, for example, 1 second is calculated in units of 100 milliseconds, which is not limited herein.
And when the judgment is carried out, if all amplitude ratio values of 10 seconds are greater than the manned amplitude threshold value, judging that the sensor is manned, and if all amplitude ratio values of 10 seconds are less than the manned amplitude threshold value, judging that the sensor is unmanned.
However, in the process of detecting the sensor, the sensor is easily subjected to high-frequency interference of other devices in the environment, so that a determination error is often caused, and in order to solve the problem, the human amplitude threshold value needs to be continuously updated.
Preferably, as shown in fig. 4, fig. 4 is a fourth schematic view of a method for detecting whether a person is on a sensor based on a ballistocardiogram signal according to the present invention; step 410 includes: step 411, obtaining a first average value of all amplitude ratio values smaller than a first specified value; step 412, taking the product of the first average value and the first adjustment coefficient to obtain a refreshed manned amplitude threshold value; step 413, judging whether the sensor has a person according to the refreshed person amplitude threshold: if the sensor is determined to be in the unmanned state, the manned amplitude threshold is continuously refreshed by using the first adjustment factor.
When updating the amplitude of the person, specifically, it may be assumed that the amplitude threshold of the person is 2, and if 10 discrete amplitude ratios [2,2.5] have a variation coefficient smaller than a second predetermined value, and the second predetermined value is preferably 0.2, the amplitude threshold of the person needs to be adjusted by using a first adjustment coefficient, and preferably, the first adjustment coefficient is 1.5.
When the adjustment is carried out, firstly, a first average value of all amplitude ratio values in the [2,2.5] interval is obtained, the first average value and a first adjustment coefficient are subjected to product, and the result is used as a refreshed manned amplitude threshold value; and judging whether the sensor is in an unmanned state or not according to the refreshed manned amplitude threshold, if the sensor is judged to be in the unmanned state, continuously refreshing the manned amplitude threshold by using a first adjusting coefficient, and preferably, the manned amplitude adjustable range is 1.5-4.5.
Example 2
Unlike embodiment 1, in this embodiment, as shown in fig. 3, fig. 3 is a third schematic diagram of a method for detecting whether a person is present on a sensor based on a heart attack signal according to the present invention; step 200 comprises: step 230, filtering an original signal of the cardiac shock signal within a specified time by adopting a zero phase shift infinite impulse response; step 240, retaining the original signal with the frequency value above the specified frequency value in the time period to obtain the high-frequency signal.
In this embodiment, high-pass filtering may be performed by using a zero-phase-shift infinite impulse response to obtain a high-frequency signal.
Second method embodiment
Example 1
A method for detecting whether a person is present on a sensor based on a ballistocardiogram signal, as shown in fig. 5, fig. 5 is a fifth schematic diagram of a method for detecting whether a person is present on a sensor based on a ballistocardiogram signal according to the present invention; the method comprises the following steps: step 500, collecting a heart impact original signal; step 600, obtaining a slope value after a discrete power spectrum in unit time is fitted with a straight line according to the original signal; step 700, judging whether a person is on the sensor according to the discrete power spectrum slope value and the slope threshold value of the person: if all the discrete power spectrum slope values within the specified time are greater than the manned slope threshold value, judging that the sensor is manned, and if all the discrete power spectrum slope values within the specified time are less than the manned slope threshold value, judging that the sensor is unmanned; wherein step 700 comprises: and 710, if the discrete power spectrum slope values are all larger than a third specified value and the second coefficient of variation is smaller than a fourth specified value, refreshing the human slope threshold. By acquiring the frequency domain original signal of the cardioimpact signal and dynamically refreshing the judgment threshold, the robustness of the algorithm is increased, the sensor is effectively inhibited from being easily interfered by high frequencies of other equipment, the problem that the signal amplitude and the signal standard deviation are influenced by the sensor is solved, and the accuracy is improved.
In this embodiment, a method for detecting whether a person is on a sensor based on a ballistocardiogram signal is provided in a frequency domain, and a discrete power spectrum slope value may be: also by collecting the original ballistocardiogram data sequence, the power spectrum can be calculated in 1 second time, and the part less than 40Hz is reserved. And fitting the power spectrum of the original signal by using a straight line, calculating the slope value of the straight line, and respectively acquiring 10 slope values in units of 1 second within 10 seconds by using the method.
In the present embodiment, the presence slope threshold is a presence threshold with respect to the signal slope, and when determining, if all the slope ratios within 10 seconds are greater than the presence slope threshold, it is determined that a person is present on the sensor, and if all the amplitude ratios within 10 seconds are less than the presence slope threshold, it is determined that no person is present on the sensor.
Preferably, as shown in fig. 6, fig. 6 is a sixth schematic view of a method for detecting whether a person is on a sensor based on a ballistocardiogram signal according to the present invention; step 600 comprises: step 610, calculating a power spectrum of an original signal in unit time; and step 620, reserving the original signal power spectrum smaller than the second frequency value.
Step 600 further comprises: step 630, fitting the power spectrum of the original signal by using a straight line; and step 640, calculating the slope values of the straight lines fitted by all the discrete power spectrums within the set time.
In the present embodiment, the human slope threshold is defaulted to-0.5, but in the sensor detection process, the high-frequency interference of other devices in the environment is easily received, which often causes a determination error, and in order to solve the problem, the human slope threshold needs to be continuously updated.
Specifically, a second average value of all discrete power spectrum slope values greater than a third prescribed value is obtained; taking the product of the second average value and the second adjustment coefficient to obtain a refreshed manned slope threshold; taking the product of the second average value and the second adjustment coefficient to obtain a refreshed manned slope threshold; judging whether a person exists on the sensor according to the refreshed slope threshold value of the person: and if the sensor is judged to be in the unmanned state, continuously refreshing the manned slope threshold value by using the second adjusting coefficient.
Preferably, as shown in fig. 7, fig. 7 is a seventh schematic view of a method for detecting whether a person is on a sensor based on a ballistocardiogram signal according to the present invention; the step 600 further comprises: step 630, fitting the power spectrum of the original signal by using a straight line; and step 640, calculating discrete power spectrum slope values of all straight lines in a specified time period.
Preferably, as shown in fig. 8, fig. 8 is an eighth schematic view of a method for detecting whether a person is on a sensor based on a ballistocardiographic signal according to the present invention; the step 710 includes: step 711, obtaining a second average value of all discrete power spectrum slope values larger than a third specified value; step 712, taking the product of the second average value and a second adjustment coefficient to obtain a refreshed manned slope threshold; step 713, judging whether a person exists on the sensor according to the refreshed person slope threshold value: if the sensor is judged to be in the unmanned state, the manned slope threshold value is continuously refreshed by the second adjusting coefficient.
When updating the slope of the person, specifically, it may be assumed that the slope threshold of the person is-0.5, and if 10 discrete slope values are greater than-0.5, and the variation coefficient of the 10 slope values is smaller than a third predetermined value, and the third predetermined value is preferably 0.2, the slope threshold of the person needs to be adjusted by a second adjustment coefficient, and preferably, the second adjustment coefficient is 1.5.
When the adjustment is carried out, firstly, a second average value of all slope values larger than minus 0.5 is obtained, the product of the second average value and a second adjustment coefficient is obtained, and the result is used as a refreshed someone slope threshold value; and judging whether the sensor is in an unmanned state or not according to the refreshed manned slope threshold, and if the sensor is judged to be in the unmanned state, continuously refreshing the manned slope threshold by using a second adjusting coefficient, wherein the adjustable range of the manned slope threshold is preferably-0.75-3.
By adopting the method for detecting whether a person exists on the sensor based on the cardioblast signal, the threshold value is dynamically refreshed and judged by collecting the time sequence/frequency domain original signal of the cardioblast signal, the robustness of the algorithm is improved, the sensor is effectively inhibited from being easily interfered by high frequency of other equipment, the problem that the signal amplitude and the signal standard deviation are influenced by the sensor is solved, and the accuracy is improved.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent replacements, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A method for detecting the presence of a person on a sensor based on a ballistocardiographic signal, comprising:
step 100, collecting a heart impact original signal;
200, acquiring a high-frequency signal according to the original signal;
step 300, calculating an amplitude ratio between the original signal and the high-frequency signal;
step 400, if all the amplitude ratio values within the specified time are greater than the amplitude threshold value of the person, determining that the person is on the sensor, and if all the amplitude ratio values within the specified time are less than the amplitude threshold value of the person, determining that the person is not on the sensor;
wherein the step 400 comprises:
and step 410, if the amplitude ratio values are all smaller than a first specified value and the first coefficient of variation is smaller than a second specified value, refreshing the amplitude threshold value of the person.
2. The method of claim 1, wherein the step 200 comprises:
step 210, filtering the original signal of the cardiac shock signal within a specified time by adopting finite impulse response filtering or zero phase shift infinite impulse response filtering or wavelet filter filtering;
and step 220, reserving the original signal with the frequency value above the specified frequency value in the specified time to obtain the high-frequency signal.
3. The method of claim 2, wherein the step 410 comprises:
step 411, obtaining a first average value of all amplitude ratio values smaller than a first specified value;
step 412, taking the product of the first average value and a first adjustment coefficient to obtain a refreshed manned amplitude threshold value;
step 413, judging whether the sensor has a person according to the refreshed person amplitude threshold:
if the sensor is judged to be in the unmanned state, the manned amplitude threshold value is continuously refreshed by using the first adjusting coefficient.
4. A method of detecting the presence of a person on a sensor as claimed in any one of claims 1 to 3, wherein the person amplitude is adjustable within the range of 1.5 to 4.5.
5. A method for detecting the presence of a person on a sensor based on a ballistocardiographic signal, comprising:
500, collecting a heart impact original signal;
step 600, obtaining a slope value after a straight line is fitted to a discrete power spectrum in unit time according to the original signal;
step 700, judging whether a person is on the sensor according to the discrete power spectrum slope value and the slope threshold value of the person:
if all the discrete power spectrum slope values in the specified time are larger than the manned slope threshold value, judging that the sensor is manned, and if all the discrete power spectrum slope values in the specified time are smaller than the manned slope threshold value, judging that the sensor is unmanned;
wherein the step 700 comprises:
and 710, if the discrete power spectrum slope values are all smaller than a third specified value and the second coefficient of variation is smaller than a fourth specified value, refreshing the human slope threshold.
6. The method of claim 5, wherein the step 600 comprises:
step 610, calculating the power spectrum of the original signal in unit time;
and step 620, reserving the power spectrum of the original signal smaller than the second frequency value.
7. The method of detecting the presence of a person on a sensor of claim 6, wherein the step 600 further comprises:
step 630, fitting the power spectrum of the original signal by using a straight line;
and step 640, calculating the slope values of the straight lines fitted by all the discrete power spectrums within the set time.
8. The method of claim 7, wherein the step 710 comprises:
step 711, obtaining a second average value of all discrete power spectrum slope values larger than a third specified value;
step 712, taking the product of the second average value and a second adjustment coefficient to obtain a refreshed manned slope threshold;
step 713, judging whether the sensor is provided with a person according to the refreshed person slope threshold value:
and if the sensor is judged to be in the unmanned state, continuously refreshing the manned slope threshold value by using the second adjustment coefficient.
9. The method for detecting the presence of a person on a sensor according to any one of claims 5-8, wherein the person slope threshold is adjustable within a range of-0.75 to-3.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116548928A (en) * | 2023-07-11 | 2023-08-08 | 西安浩阳志德医疗科技有限公司 | Nursing service system based on internet |
| CN116699714A (en) * | 2023-04-28 | 2023-09-05 | 武汉领普科技有限公司 | Detection device, method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116699714A (en) * | 2023-04-28 | 2023-09-05 | 武汉领普科技有限公司 | Detection device, method and system |
| CN116548928A (en) * | 2023-07-11 | 2023-08-08 | 西安浩阳志德医疗科技有限公司 | Nursing service system based on internet |
| CN116548928B (en) * | 2023-07-11 | 2023-09-08 | 西安浩阳志德医疗科技有限公司 | Nursing service system based on internet |
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