CN114287885A - Human body sign monitoring method, device and system and storage medium - Google Patents
Human body sign monitoring method, device and system and storage medium Download PDFInfo
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Abstract
The invention relates to a human body sign monitoring method, a human body sign monitoring device, a human body sign monitoring system and a storage medium. Therefore, the first human body sign signal and the second human body sign signal are subjected to correlation operation through the correlation function, the signal period of the human body signs in the two signals can be enhanced, the enhancement of the signal period of the noise is relatively weak, the signal to noise ratio of the third human body sign signal is further improved, finally, the human body sign information is obtained through the third human body sign signal with higher signal to noise ratio, the influence of the noise signal is reduced, the interference of the noise signal is reduced, and the human body sign information can be obtained more accurately.
Description
Technical Field
The invention relates to the field of sleep monitoring, in particular to a human body sign monitoring method, a human body sign monitoring device, a human body sign monitoring system and a storage medium.
Background
Along with the development of society, human sign monitoring technology is more and more mature, and people utilize human sign monitoring technology to monitor human sign, judge the health condition of human body to can in time discover unusually, in time make the processing. The human body sign monitoring technology has wide application range, for example, the technology is applied to sleep monitoring, the breathing activity, the heart rate and other conditions of a user are monitored when the user is in a sleep state, so as to judge the sleep quality of the user or diseases such as sleep apnea syndrome and the like, and the sleep monitoring has great application potential today when the sleep medicine is increasingly emphasized. Accordingly, human body sign monitoring techniques are also increasingly important.
However, in the conventional technology at present, when the existing human body sign monitoring technology collects human body sign signals, the existing human body sign monitoring technology is easily interfered by other noise signals, especially in double-person or multi-person monitoring, the existing human body sign monitoring technology is easily interfered by human body sign signals of other people, and then the accuracy of monitoring results is reduced.
Disclosure of Invention
The invention solves at least one of the technical problems to a certain extent, and provides a human body sign monitoring method, a human body sign monitoring device, a human body sign monitoring system and a storage medium, which can monitor human body sign information, reduce the influence of other signals, reduce interference and enable the monitoring to be more accurate.
In a first aspect, an embodiment of the present invention provides a human body sign monitoring method, which is applied to a human body sign monitoring device, where the human body sign monitoring device includes a first sensor and a second sensor, both the first sensor and the second sensor are used for acquiring a human body sign signal of a user, and the method includes:
respectively acquiring a first human body sign signal acquired by the first sensor and a second human body sign signal acquired by the second sensor;
performing correlation operation on the first human body sign signal and the second human body sign signal to obtain a third human body sign signal;
and acquiring the human body sign information according to the third human body sign signal.
In some embodiments, the human body sign information includes heart rate information, and the obtaining the human body sign information according to the third human body sign signal includes:
obtaining a peak time interval in the third human body sign signal;
and acquiring the heart rate information according to the peak time interval.
In a second aspect, an embodiment of the present invention provides a human body sign monitoring apparatus, including:
the system comprises a first sensor and a second sensor, wherein the first sensor and the second sensor are used for acquiring human body sign signals of a user; and the number of the first and second groups,
a controller electrically connected to the first sensor and the second sensor, respectively, the controller including at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the human condition monitoring method as described above.
In some embodiments, the first sensor is more sensitive than the second sensor.
In some embodiments, the first sensor is a piezoelectric film sensor and the second sensor is a piezoelectric cable sensor.
In some embodiments, further comprising: the signal processing circuit is respectively connected with the first sensor, the second sensor and the controller electrically and is used for processing the first human body sign signal and the second human body sign signal and transmitting the processed first human body sign signal and the second human body sign signal to the controller.
In some embodiments, further comprising: and the wireless module is in communication connection with the controller and is used for carrying out data communication with the mobile terminal and/or the cloud.
In some embodiments, further comprising: and the power supply module is respectively electrically connected with the controller, the signal processing circuit and the wireless module and used for supplying power to the controller, the signal processing circuit and the wireless module.
In a third aspect, an embodiment of the present invention provides a human body sign monitoring system, where the human body sign monitoring system includes: a mobile terminal and/or a cloud; and the number of the first and second groups,
according to the human body sign monitoring device, the mobile terminal and/or the cloud end are in communication connection with the human body sign monitoring device.
In a fourth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for causing an input device to perform the human signs monitoring method as described above.
Compared with the prior art, the invention at least has the following beneficial effects: according to the human body sign monitoring method, firstly, a first human body sign signal acquired by a first sensor and a second human body sign signal acquired by a second sensor are respectively acquired, then the first human body sign signal and the second human body sign signal are subjected to relevant operation to obtain a third human body sign signal, and finally, human body sign information is acquired according to the third human body sign signal. Therefore, the first human body sign signal and the second human body sign signal are subjected to correlation operation through the correlation function, the signal period of the human body signs in the two signals can be enhanced, the enhancement of the signal period of the noise is relatively weak, the signal to noise ratio of the third human body sign signal is further improved, finally, the human body sign information is obtained through the third human body sign signal with higher signal to noise ratio, the influence of the noise signal is reduced, the interference of the noise signal is reduced, and the human body sign information can be obtained more accurately.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic diagram of an application environment of a human body sign monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic circuit diagram of a human body sign monitoring apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a controller according to an embodiment of the present invention;
fig. 4 is a flowchart of a human body sign monitoring method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a first human vital sign signal, a second human vital sign signal, and a third human vital sign signal provided by an embodiment of the invention;
fig. 6 is a schematic circuit diagram of a human body sign monitoring apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a human body sign monitoring device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, if not conflicted, the various features of the embodiments of the invention may be combined with each other within the scope of protection of the invention. Additionally, while functional block divisions are performed in apparatus schematics, with logical sequences shown in flowcharts, in some cases, steps shown or described may be performed in sequences other than block divisions in apparatus or flowcharts. The terms "first", "second", "third", and the like used in the present invention do not limit data and execution order, but distinguish the same items or similar items having substantially the same function and action.
The human body sign monitoring device of the embodiment of the invention can be configured into any suitable shape and placed in various human body sign monitoring products so as to realize the human body monitoring function.
Human body sign includes human respiratory rate, rhythm of the heart, pulse etc. and human body sign data can reflect human physical condition, if carry out human body sign monitoring when the user sleeps, then can monitor the user sleep condition, evaluate the sleep quality, carry out effective diagnosis and treatment to the sleep disease. The monitoring to human body sign can also reflect the healthy condition of user, in time discover unusual, and then can in time handle.
Referring to fig. 1, fig. 1 is a schematic view of an application environment of a human body sign monitoring system according to an embodiment of the present invention, as shown in fig. 1, if the human body sign monitoring system is used for monitoring a sleep condition of a user, the application scenario includes a user 10, an intelligent mattress 20, and a human body sign monitoring system 30, in the figure, there are two users 10, which are a user a and a user B, respectively, the human body sign monitoring system 30 includes a mobile terminal 31 and a human body sign monitoring device 32, and the mobile terminal 31 and the human body sign monitoring device 32 may be in communication connection in any manner, for example: a wired connection or a Wireless connection implemented using Wireless Fidelity (Wi-Fi), Bluetooth (Bluetooth) technology, or mobile communication technology such as 3rd Generation (3G), 4th Generation (4G), or fifth Generation (5th Generation, 5G).
The mobile terminal 31 may be configured with one or more different user 10 interaction means for collecting user 10 instructions or presenting and feeding back information to the user 10. These interaction means include, but are not limited to: button, display screen, touch-sensitive screen and speaker. For example, the mobile terminal 31 may be equipped with a touch display screen, the touch display screen receives a remote control instruction from the user 10 to the human body monitoring device, and displays the human body sign information obtained by the human body monitoring device, the image information obtained from the human body sign information, or the evaluation of the physical health condition of the user 10 obtained from the human body sign information to the user 10, and the user 10 may also switch the currently displayed human body sign information on the display screen by remotely controlling the touch screen.
The mobile terminal 31 and the human body physical sign monitoring device 32 transmit communication data to each other, for example: human sign monitoring devices 32 can convey human sign information to mobile terminal 31 to supply user 10 in time to look over, and mobile terminal 31 demonstrates the human sign monitoring condition in real time, and it can demonstrate through multiple form, looks over in order to make things convenient for user 10, and simultaneously, user 10 can also control human monitoring devices through mobile terminal 31, works under suitable mode in order to set up human monitoring devices.
It should be noted that the mobile terminal 31 may be a hardware device with various operating systems, such as a smart phone, a tablet computer, and a personal digital assistant.
In some embodiments, the human body condition monitoring system 30 further includes a cloud 33, the cloud 33 is connected to the human body condition monitoring device 32 in a communication manner, and the cloud 33 can also be connected to the mobile terminal 31 in a communication manner. The human body sign information is uploaded to the cloud 33, the cloud 33 stores and manages the human body sign information so as to process big data, and the cloud 33 can further transmit evaluation of the human body sign in the big data to the mobile terminal 31 so as to be checked by the user 10.
Therefore, the human body sign monitoring system 30 can monitor the human body sign information through the human body sign monitoring device 32, and process and store the human body sign information through the mobile terminal 31 and/or the cloud 33 for the user 10 to view and process.
Wherein, human sign monitoring devices 32 sets up on intelligent mattress 20, and set up respectively with user A and user B under, when user A and user B lie on human sign monitoring devices 32, human sign monitoring devices 32 gather and handle user A and user B's human sign signal to carry out corresponding demonstration at mobile terminal 31.
Human sign monitoring devices 32 have the condition of influence each other when gathering user A and user B's human sign signal, for example, when human sign monitoring devices 32 gathered user A's human sign signal, some human sign signals of catching user B easily to influence user A's signal, and double human sign signal if comparatively similar, then more difficult differentiation, and then lead to the monitoring result degree of accuracy to reduce. Even if the collected human body sign signals of the user A are slightly influenced by the user B, some external noise signals also influence the human body sign signals of the user A, interference is caused on the monitoring result of the user A, and the monitoring result is inaccurate. Therefore, in order to improve the accuracy of the monitoring result of the human body condition monitoring device 32, the following embodiments of the present invention provide a human body condition monitoring method.
It should be noted that, the above application environment is only for exemplary illustration, and in practical applications, the human body sign monitoring method and the related apparatus provided by the following embodiments of the present invention may be further extended to other suitable application environments, and are not limited to the application environment shown in fig. 1. For example, in other embodiments, the vital signs monitoring device 32 can be disposed on a pillow or other suitable product. The number of users 10 may also be more than two and the number of mobile terminals 31 may also be more than one.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a human body sign monitoring device 32 according to an embodiment of the present invention, which includes a first sensor 321, a second sensor 322, and a controller 323. Wherein, first sensor 321 and second sensor 322 respectively with controller 323 electric connection, both are used for gathering user 10's human sign signal, as shown in fig. 1, first sensor 321 and second sensor 322 set up in same device, and vertical interval sets up, when the human body lies in the device, first sensor 321 and second sensor 322 are close to the chest position on human back for the human sign signal of gathering conveys to controller 323, is handled and is analyzed by controller 323.
Referring also to fig. 3, the controller 323 includes at least one processor 3231 (e.g., one processor in fig. 3) and a memory 3232 communicatively coupled via a system bus or otherwise. The controller 323 may be in the form of a chip.
The memory 3232 stores instructions executable by the at least one processor 3231, the instructions being executed by the at least one processor 3231, and the processor 3231 is configured to provide computing and control capabilities to process the human body sign signals and control the human body sign monitoring apparatus 32 to execute relevant commands, for example, control the human body sign monitoring apparatus 32 to execute any one of the human body sign monitoring methods provided by the following embodiments of the present invention.
The memory 3232, serving as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the human body condition monitoring methods provided in the following embodiments of the present invention. The processor 3231 may implement the method for human condition monitoring in any of the method embodiments described below by running non-transitory software programs, instructions, and modules stored in the memory 3232. In particular, the memory 3232 can include high-speed random access memory, and can also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 3232 can also include memory located remotely from the processor 3231, which can be connected to the processor 3231 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Referring to fig. 4, fig. 4 is a flowchart of a human body sign monitoring method according to an embodiment of the present invention, and as shown in fig. 4, the human body sign monitoring method includes:
s41, respectively acquiring a first human body sign signal acquired by the first sensor and a second human body sign signal acquired by the second sensor;
the first sensor 321 and the second sensor 322 collect human body sign signals of the user 10, and sampling frequencies may be the same and are both 100 HZ. The first sensor 321 and the second sensor 322 may be the same sensor or different sensors.
In some embodiments, the first sensor 321 has higher sensitivity than the second sensor 322, and the range of the area for collecting data is wider, accordingly, the first sensor 321 is more susceptible to interference from other signals, and the range of the area for collecting data by the second sensor 322 is narrower and less susceptible to interference from other signals. For example: in the above application scenario, if the first sensor 321 and the second sensor 322 are disposed under the user a, both the first sensor 321 and the second sensor can be used for acquiring the human body sign signal of the user a, the user a is a detected user, the first sensor 321 easily captures the human body sign signal of the user B, thereby affecting the human body sign signal of the user a, the acquired signal includes the user a sign information and the user B sign information with strong interference, and the second sensor 322 does not easily capture the human body sign signal of the user B, and then the acquired signal includes the user a sign information and the user B sign information with weak interference. Therefore, the embodiment of the invention adopts a mode of combining the two sensors, and plays a complementary role.
In some embodiments, the human body sign monitoring device 32 is mainly used for sleep monitoring, and therefore, the first sensor 321 and the second sensor 322 may be piezoelectric sensors, and the sleep monitoring product based on the piezoelectric sensors can record the body activity, the respiratory activity, the heart rate and the like of the detected person without pasting electrodes on the body surface, and can also realize the diagnosis of the sleep apnea syndrome, and is an electrodeless and unloaded sleep monitoring method. In the embodiment of the present invention, the first sensor 321 is a piezoelectric film sensor, and the second sensor 322 is a piezoelectric cable sensor.
In other embodiments, the first sensor 321 and the second sensor 322 may be other types of sensors for collecting human body sign information, including but not limited to micro-motion sensors such as acceleration sensors, gyroscope sensors, and the like.
S42, performing correlation operation on the first human body sign signal and the second human body sign signal to obtain a third human body sign signal;
wherein, the correlation operation comprises cross correlation or auto correlation, and the definition of the correlation function is as follows:
let x (n) and y (n) be two energy-limited determined signals whose cross-correlation function is:
the expression indicates that the value at time m is equal to the result of multiplying and adding x (n) without motion and y (n) shifted to the left by m sample units. It will be understood that when x (n) and y (n) are the same signal, i.e. x (n) ═ y (n), then the correlation function rxx (m) (or abbreviated r (m)) is the autocorrelation function:
the autocorrelation function r (m) reflects the similarity of the signal x (n) and x (n + m) after a delay on its own.
The correlation function has two properties: firstly, the correlation function of the periodic signal is still the periodic signal with the same frequency, and secondly, the two periodic signals with different frequencies are not correlated with each other. That is, after the signal x (n) and the signal y (n + m) are subjected to correlation operation, the periodic signal (physical sign signal) is enhanced, but the non-co-frequency periodic signal (interference signal) is weakened, so that the influence of the interference signal is suppressed, and the quality of the effective human physical sign signal is improved. According to the embodiment of the invention, the first human body sign signal and the second human body sign signal are processed and analyzed by utilizing two properties of the correlation function, the first human body sign signal and the second human body sign signal are mainly sign signals of the user A, and the first human body sign signal and the second human body sign signal are subjected to correlation operation to obtain a third human body sign signal R (m).
Referring to fig. 5, in the graph, the S1 curve is a first human body sign signal, the S2 curve is a second human body sign signal, and the S3 curve is a third human body sign signal, in the third human body sign signal, the cycle of the sign signal of the user a is enhanced, the peak value is more obvious, and the enhancement of the cycle of the interference signal (e.g., the sign signal of the user B) is relatively weak, so that the signal quality of the third human body sign signal is better, the signal-to-noise ratio is higher, and the interference of the noise signal is reduced.
And S43, acquiring the human body sign information according to the third human body sign signal.
And obtaining the human body sign information according to the third human body sign signal and the calculation mode of the related human body sign. In some embodiments, the human body sign information includes heart rate information, a peak time interval in the third human body sign signal is obtained, and the heart rate information is obtained according to the peak time interval. In some embodiments, the human body sign information includes respiration rate information, and a third human body sign signal, which is mainly a respiration rate signal, is obtained in the same manner, and then the respiration rate information is obtained according to a peak time interval in the third human body sign signal. Before the first human body sign signal and the second human body sign signal are subjected to correlation operation, filtering processing can be performed on the first human body sign signal and the second human body sign signal to obtain the first human body sign signal and the second human body sign signal which are mainly heart rate signals and the first human body sign signal and the second human body sign signal which are mainly respiratory rate signals, and then subsequent processing is performed.
In summary, since the sensitivity of the first sensor is high, the interference signal in the first human body sign signal obtained by the first sensor is strong, the sensitivity of the second sensor is low, and the interference signal in the second human body sign signal obtained by the second sensor is weak, i.e. the first human body sign signal includes the sign information of the user to be measured and the sign information or other noise signals of other users with strong interference, and the second human body sign signal includes the sign information of the user to be measured and the sign information or other noise signals of other users with weak interference, the human body sign monitoring device can perform correlation operation on the first human body sign signal and the second human body sign signal through the correlation function, can enhance the periodic human body sign signal of the user to be measured in the two signals, and suppress other aperiodic interference signals, thereby improving the signal-to-noise ratio of the third human body sign signal, and finally, the human body sign information is acquired through the third human body sign signal with higher signal-to-noise ratio, so that the influence of the noise signal is reduced, the interference of the noise signal is reduced, and the human body sign information of the detected user can be acquired more accurately.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a human body sign monitoring device according to an embodiment of the present invention, as shown in fig. 6, the human body sign monitoring device 32 further includes a signal processing circuit 324, and the signal processing circuit 324 is electrically connected to the first sensor 321, the second sensor 322, and the controller 323 respectively, and is configured to process the first human body sign signal and the second human body sign signal and transmit the processed first human body sign signal and the processed second human body sign signal to the controller 323.
The signal processing circuit 324 mainly amplifies and filters the first human body sign signal and the second human body sign signal, the amplified signals are more easily processed by the controller 323, and filtering with different frequencies can be adopted according to the required human body sign information, for example, heartbeat information is about 10HZ, and respiratory information is about 0.4 HZ.
In some embodiments, the human body condition monitoring device 32 further comprises a wireless module 325, and the wireless module 325 is in communication connection with the controller 323 and is used for data communication with the mobile terminal 31 and/or the cloud 33.
The wireless module 325 may be implemented in various ways, such as a bluetooth module, a WIFI module, and other wireless modules.
In some embodiments, the human body condition monitoring device 32 further includes a power module 326, wherein the power module 326 is electrically connected to the controller 323, the signal processing circuit 324 and the wireless module 325, respectively, and is configured to supply power to the controller 323, the signal processing circuit 324 and the wireless module 325.
The power module 326 is composed of a rechargeable battery, a charging circuit and a voltage conversion circuit, wherein the voltage conversion circuit is responsible for providing the voltage required by the normal operation of each circuit, and the rechargeable battery can be charged by the charging circuit through inputting 5V voltage through a USB port or wirelessly charged.
In some embodiments, the human body sign monitoring device 32 may further include a voice module electrically connected to the controller 323, and when an abnormal condition occurs, the voice module may send an abnormal alarm prompt, and the controller 323 may further send the abnormal condition to the mobile terminal 31, so that the user 10 can check the abnormal condition in time.
In conclusion, this human sign monitoring devices carries out correlation operation with first human sign signal and second human sign signal through the correlation function, can obtain the enhancement about the signal cycle of the human sign of the user of being surveyed in two signals, the enhancement about the signal cycle of the human sign signal of other users or noise is relatively weaker, and then improve the SNR of third human sign signal, obtain human sign information through the higher third human sign signal of SNR at last, the influence of noise signal has been reduced, the interference of noise signal has been reduced, and then can more accurately acquire the human sign information of the user of being surveyed.
It should be noted that, in the foregoing embodiments, a certain order does not necessarily exist between the foregoing steps, and it can be understood by those skilled in the art from the description of the embodiments of the present invention that, in different embodiments, the foregoing steps may have different execution orders, that is, may be executed in parallel, may also be executed in an exchange manner, and the like.
As another aspect of the embodiments of the present invention, an embodiment of the present invention provides a human body sign monitoring apparatus. The human body sign monitoring device can be a software module, the software module comprises a plurality of instructions, the instructions are stored in a memory in the electric regulation, and the processor can access the memory and call the instructions to execute so as to complete the human body sign monitoring method set forth in each embodiment.
In some embodiments, the human body sign monitoring device may also be built by hardware devices, for example, the human body sign monitoring device may be built by one or more than two chips, and each chip may work in coordination with each other to complete the human body sign monitoring method described in each of the above embodiments. For another example, the human body sign monitoring device may also be constructed by various logic devices, such as a general processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an arm (acorn RISC machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components.
Referring to fig. 7, fig. 7 is a human body sign monitoring apparatus according to an embodiment of the present invention, the human body sign monitoring apparatus 700 includes a first obtaining module 71, a calculating module 72, and a second obtaining module 73.
The first obtaining module 71 is configured to obtain a first human body sign signal collected by the first sensor and a second human body sign signal collected by the second sensor respectively;
the calculation module 72 is configured to perform a correlation operation on the first human body sign signal and the second human body sign signal to obtain a third human body sign signal;
the second obtaining module 73 is configured to obtain the human body sign information according to the third human body sign signal.
Consequently, this human sign monitoring devices carries out correlation operation with first human sign signal and second human sign signal through the correlation function, can obtain the enhancement with regard to the signal cycle of human sign in two signals, the enhancement about the signal cycle of noise is relatively weaker, and then improve the SNR of third human sign signal, obtain human sign information through the higher third human sign signal of signal-to-noise ratio at last, the influence of noise signal has been reduced, the interference of noise signal has been reduced, and then can more accurately acquire human sign information.
In some embodiments, the human body sign information includes heart rate information, and the second obtaining module 73 is specifically configured to obtain a peak time interval in the third human body sign signal, and obtain the heart rate information according to the peak time interval.
It should be noted that, since the human body sign monitoring apparatus and the human body sign monitoring method in the foregoing embodiment are based on the same inventive concept, the corresponding contents in the foregoing method embodiment are also applicable to the apparatus embodiment, and are not described in detail here.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions, which are executed by one or more processors, such as the processor 3231 in fig. 3, so that the one or more processors can execute the human body sign monitoring method in any of the above method embodiments.
An embodiment of the invention further provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a controller, cause the controller to perform any one of the human body sign monitoring methods.
To sum up, this human sign monitoring devices carries out correlation operation with first human sign signal and second human sign signal through the correlation function, can obtain the reinforcing with regard to the signal cycle of human sign in two signals, the reinforcing about the signal cycle of noise is relatively more weak, and then improves the SNR of third human sign signal, obtain human sign information through the higher third human sign signal of SNR at last, the influence of noise signal has been reduced, the interference of noise signal has been reduced, and then can more accurately acquire human sign information.
The above-described embodiments of the apparatus or device are merely illustrative, wherein the unit modules described as separate parts may or may not be physically separate, and the parts displayed as module units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network module units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the human body condition monitoring method according to the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A human body sign monitoring method is applied to a human body sign monitoring device and is characterized in that the human body sign monitoring device comprises a first sensor and a second sensor, the first sensor and the second sensor are both used for collecting human body sign signals of a user, and the method comprises the following steps:
respectively acquiring a first human body sign signal acquired by the first sensor and a second human body sign signal acquired by the second sensor;
performing correlation operation on the first human body sign signal and the second human body sign signal to obtain a third human body sign signal;
and acquiring the human body sign information according to the third human body sign signal.
2. The human sign monitoring method of claim 1, wherein the human sign information comprises heart rate information, and the obtaining the human sign information according to the third human sign signal comprises:
obtaining a peak time interval in the third human body sign signal;
and acquiring the heart rate information according to the peak time interval.
3. A human signs monitoring device, comprising:
the system comprises a first sensor and a second sensor, wherein the first sensor and the second sensor are used for acquiring human body sign signals of a user; and the number of the first and second groups,
a controller electrically connected to the first sensor and the second sensor, respectively, the controller including at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the human condition monitoring method of claim 1 or 2.
4. The human sign monitoring device of claim 3, wherein the first sensor is more sensitive than the second sensor.
5. The human sign monitoring device of claim 4, wherein the first sensor is a piezoelectric film sensor and the second sensor is a piezoelectric cable sensor.
6. The human sign monitoring device of any one of claims 3-5, further comprising: the signal processing circuit is respectively connected with the first sensor, the second sensor and the controller electrically and is used for processing the first human body sign signal and the second human body sign signal and transmitting the processed first human body sign signal and the second human body sign signal to the controller.
7. The human sign monitoring device of any one of claims 3-5, further comprising: and the wireless module is in communication connection with the controller and is used for carrying out data communication with the mobile terminal and/or the cloud.
8. The human sign monitoring device of any one of claims 3-5, further comprising: and the power supply module is respectively electrically connected with the controller, the signal processing circuit and the wireless module and used for supplying power to the controller, the signal processing circuit and the wireless module.
9. A human signs monitoring system, comprising: a mobile terminal and/or a cloud; and the number of the first and second groups,
human body signs monitoring device according to any one of claims 3 to 8, wherein the mobile terminal and/or the cloud is in communication with the human body signs monitoring device.
10. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions for causing a human signs monitoring device to perform the human signs monitoring method of claim 1 or 2.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6984207B1 (en) * | 1999-09-14 | 2006-01-10 | Hoana Medical, Inc. | Passive physiological monitoring (P2M) system |
| US20110184268A1 (en) * | 2010-01-22 | 2011-07-28 | Abbott Diabetes Care Inc. | Method, Device and System for Providing Analyte Sensor Calibration |
| CN106999105A (en) * | 2014-11-28 | 2017-08-01 | 夏普株式会社 | High-frequency device |
| CN107106053A (en) * | 2015-01-10 | 2017-08-29 | 黛博拉·杜连 | For diagnosing and verifying the method and apparatus that the automatic function of patient's treatment and result is measured |
| CN108542369A (en) * | 2018-04-16 | 2018-09-18 | 华南师范大学 | A kind of heart rate breathing detection method and system |
| CN108697352A (en) * | 2017-06-29 | 2018-10-23 | 深圳和而泰智能控制股份有限公司 | Physiologic information measurement method and physiologic information monitoring device, equipment |
| CN108697347A (en) * | 2017-06-29 | 2018-10-23 | 深圳和而泰智能家居科技有限公司 | Physiologic information measurement method, storage medium and physiologic information monitoring device, equipment |
| CN108888249A (en) * | 2018-06-07 | 2018-11-27 | 北京邮电大学 | A kind of method and device of the more people's vital sign monitorings of contactless car |
| CN109316174A (en) * | 2018-10-10 | 2019-02-12 | 大连理工大学 | A kind of vital sign wireless monitoring method based on Waveform Design and back wave processing |
| CN111281362A (en) * | 2020-03-12 | 2020-06-16 | 北京曙光易通技术有限公司 | Vibration sign monitor, vital sign monitoring system and method |
| CN111714100A (en) * | 2019-03-19 | 2020-09-29 | 深圳市格兰莫尔科技有限公司 | Dual-sensing vital sign monitoring system and method |
| CN111938584A (en) * | 2020-07-21 | 2020-11-17 | 深圳数联天下智能科技有限公司 | Sleep monitoring method and equipment |
| CN113720882A (en) * | 2021-08-30 | 2021-11-30 | 天津大学 | Drunk driving detection system and method based on MQ3 sensor and UWB laser radar |
| CN113827247A (en) * | 2021-09-27 | 2021-12-24 | 中国科学院深圳先进技术研究院 | Spread spectrum modulation electrode contact impedance online measurement device and method |
-
2021
- 2021-12-28 CN CN202111625633.8A patent/CN114287885B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6984207B1 (en) * | 1999-09-14 | 2006-01-10 | Hoana Medical, Inc. | Passive physiological monitoring (P2M) system |
| US20110184268A1 (en) * | 2010-01-22 | 2011-07-28 | Abbott Diabetes Care Inc. | Method, Device and System for Providing Analyte Sensor Calibration |
| CN106999105A (en) * | 2014-11-28 | 2017-08-01 | 夏普株式会社 | High-frequency device |
| CN107106053A (en) * | 2015-01-10 | 2017-08-29 | 黛博拉·杜连 | For diagnosing and verifying the method and apparatus that the automatic function of patient's treatment and result is measured |
| CN108697347A (en) * | 2017-06-29 | 2018-10-23 | 深圳和而泰智能家居科技有限公司 | Physiologic information measurement method, storage medium and physiologic information monitoring device, equipment |
| CN108697352A (en) * | 2017-06-29 | 2018-10-23 | 深圳和而泰智能控制股份有限公司 | Physiologic information measurement method and physiologic information monitoring device, equipment |
| CN108542369A (en) * | 2018-04-16 | 2018-09-18 | 华南师范大学 | A kind of heart rate breathing detection method and system |
| CN108888249A (en) * | 2018-06-07 | 2018-11-27 | 北京邮电大学 | A kind of method and device of the more people's vital sign monitorings of contactless car |
| CN109316174A (en) * | 2018-10-10 | 2019-02-12 | 大连理工大学 | A kind of vital sign wireless monitoring method based on Waveform Design and back wave processing |
| CN111714100A (en) * | 2019-03-19 | 2020-09-29 | 深圳市格兰莫尔科技有限公司 | Dual-sensing vital sign monitoring system and method |
| CN111281362A (en) * | 2020-03-12 | 2020-06-16 | 北京曙光易通技术有限公司 | Vibration sign monitor, vital sign monitoring system and method |
| CN111938584A (en) * | 2020-07-21 | 2020-11-17 | 深圳数联天下智能科技有限公司 | Sleep monitoring method and equipment |
| CN113720882A (en) * | 2021-08-30 | 2021-11-30 | 天津大学 | Drunk driving detection system and method based on MQ3 sensor and UWB laser radar |
| CN113827247A (en) * | 2021-09-27 | 2021-12-24 | 中国科学院深圳先进技术研究院 | Spread spectrum modulation electrode contact impedance online measurement device and method |
Non-Patent Citations (2)
| Title |
|---|
| 唐良勇;赵恒;张亚菊;: "基于WA-EMD算法的脉冲式超宽带雷达多目标生命体征检测", 南京理工大学学报, no. 02 * |
| 王曦泽;胡巍;王云峰;张海英;: "非接触式体征监测及智能移动终端算法的实现", 北京生物医学工程, no. 03 * |
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